At bunq, we’re here to make life easier and redefine what banking can be. This is your chance to shape the future of digital banking by creating the best app experience imaginable. Use your coding prowess to build and enhance the Bank of The Free, ensuring seamless, secure, and flawless functionality for our users.

Take Ownership

As bunq's Senior Backend Engineer, you’ll be at the forefront of our backend development, ensuring our employees and users experience unparalleled stability and performance.

• Collaborate with our product team to design and implement robust backend structures for cutting-edge, user-facing features, utilizing technologies like MySQL, Redis, Elasticsearch, and PHP.
• Provide continuity and growth for our backend team by mentoring and guiding junior developers, helping them unlock their full potential.
• Manage high-availability production systems and support other departments by developing and maintaining efficient, scalable processes.

Requirements

• Our PHP-based backend is intuitive, so no prior PHP experience is needed while experience in any object-oriented language will do.
• You're able to build your own projects and manage high-availability production systems.
• You use your creativity to build industry breaking user facing features.
• You coordinate efforts to increase efficiency and scalability.
• You're fluent in English, both speaking and writing.

Your space to perform

We give you the space and the tools you need to succeed. Our team is great, international colleagues who share your mindset. We offer a hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. We also have a Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration. We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.

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As a User Verification Specialist, your mission is to help our users get their personal and business accounts verified without unnecessary delays while making the user verification process as smooth as possible.

Take Ownership

• Make life easy for our users by ensuring a hassle-free onboarding and user verification experience.
• Manually review our users based on our user verification policies.
• Stay ahead by keeping up with process updates and ensuring a clear verification path for our users.
• Minimize delays by following the support triangle and keeping our users informed about their next steps.
• Spot and report bugs or inefficiencies, making our onboarding process even better.

Requirements

• You speak English fluently.
• You have strong attention to detail.
• You excel at research & analysis, gathering and evaluating information efficiently.
• You possess strong empathy, critical thinking, and a user-centered approach, ensuring the best experience for users.
• You're a problem solver,you can identify root causes and implement effective solutions.
• You're available to cover morning and evening shifts during weekdays and weekends.

Your Space to Perform

• We give you the space and the tools you need to succeed.
• Great, international colleagues who share your mindset.
• Remote evening shifts.
• Working hybrid: work 2 days remote, 3 days in-office weekly (office presence is only requested Monday to Friday on day shifts).
• Digital Nomad program: work remotely 1 week per quarter after 1 year and 3 weeks per quarter after 2 years.
• We support growth with bunq Academy and €1500 annual learning budget.
• A Multisport gym card for your health and wellbeing.
• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices).
• A MacBook so you can Get Shit Done with us.
• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options.
• Private health insurance, just in case.
• Friday drinks and other celebrations - bunq style.

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At bunq, we're here to make life easier and redefine what banking can be. Play a key role in delivering an exceptional banking app experience by ensuring seamless, secure, and flawless functionality for our users. Use your coding skills to build and improve bank of the Free from behind the scenes.

Take Ownership

As a Backend Engineer at bunq, you'll be at the forefront of our backend development, ensuring our employees and users experience unparalleled stability and performance.

• Building (user-facing) features.
• Collaborating with product to propose and designing the backend structure for new features and supporting other departments by developing and maintaining processes.
• You'll utilize technologies like MySQL, Redis, Elasticsearch, and PHP to develop the bank of The Free.

Requirements

• Our PHP-based backend is intuitive, so no prior PHP experience is needed while experience in any object-oriented language will do.
• You're able to tinker and test your own projects.
• You use your creativity to build industry-breaking user-facing features.
• You coordinate efforts to increase efficiency and scalability.
• You're fluent in English, both speaking and writing.

Your space to perform

We give you the space and the tools you need to succeed.

Join forces with great colleagues across the globe to revolutionize banking.

Make lasting impact by working on complex & exciting challenges.

Accelerate your career growth with bunq Academy and €1500 learning budget and additional study leave.

Monthly contributions to your phone and internet bills.

A Macbook to keep with you while you're with us.

Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.

Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration

We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.

Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ).

Fabulous in-house chefs cooking delicious lunches.

An optional pension plan with monthly contribution from bunq (Netherlands).

Private Health Insurance, just in case (Istanbul).

A massive discount with Urban Sports Club for your wellbeing (Netherlands).

Stay fit & healthy with a Multisport gym card (Istanbul).

Friday drinks, team events, and other celebrations - bunq style!

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Take ownership: As our Product Lead - Security and Crime Prevention, you’ll own the product vision and roadmap to protect our users and our platform from constantly evolving threats.

Own the end-to-end product strategy for security, guiding your team to design and control systems that provide robust protection while maintaining a seamless and beautiful user experience.

Lead your team in the charge against financial crime by designing, building, and implementing advanced systems for fraud prevention, AML, and sanctions screening that stay ahead of emerging threats.

Drive the operational excellence of our security functions, empowering your team to leverage automation, AI, and FinCrime modeling to improve efficiency, reduce manual workload, and stay in control of our regulatory obligations.

Requirements: Proven skills in directly leading and guiding product teams. Familiarity with modern fraud prevention methods and technology. Strong understanding of financial regulations, compliance certifications, and audits. Basic skills in Machine Learning. Ability to think from a user's perspective, with a keen ability to balance security decisions with the end-user experience. Excellent communication and fluency in English.

Your space to perform: We give you the space and the tools you need to succeed. Great, international colleagues who share your mindset. Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. Support for growth with bunq Academy and €1500 annual learning budget. Massive discount with Urban Sports Club for your wellbeing. Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices). Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration. Reward for tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office. MacBook provided. Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options. Optional pension plan with monthly contribution from bunq. Private health insurance, just in case. Monthly contribution to your phone and internet bills. Friday drinks and other celebrations - bunq style.

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Your focus will be on identifying real capability gaps, creating the right solutions, rolling them out effectively, and proving through data that they work.

As a Learning & Performance Specialist, you will:

• Create, manage, and continuously improve general bunq training programs.
• Lead interactive workshops and in-person trainings focused on real behaviour change.
• Measure training effectiveness and translate insights into actionable improvements.
• Improve existing internal processes or create new ones to optimise employee performance and development.

Requirements

• You have deep knowledge of creating effective and engaging training programs by deadline.
• You know how to measure training impact and use data to improve outcomes.
• You genuinely enjoy in-person training, coaching, and working closely with people.
• You're familiar with process optimisation and like making things work better.
• You naturally take ownership and proactively close performance gaps.

Your space to perform

We give you the space and the tools you need to succeed.

Benefits

• Join forces with great colleagues across the globe to revolutionise banking.
• Make lasting impact by working on complex & exciting challenges.
• Accelerate your career growth with bunq Academy and a 1500 EUR annual learning budget.
• Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.
• A Macbook to keep with you while you're with us.
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while travelling, combining flexibility with strong team collaboration.
• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
• Lunch and snacks at the office, vegan options included.
• Private health insurance, just in case.
• Friday drinks, team events, and other celebrations - bunq style!

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As the Automation and Retool Engineering Lead, you will own the health, strategy, and velocity of our internal tooling and automation ecosystem.

Responsibilities:

• Lead, mentor, and grow a high-performing team of Retool and automation engineers, fostering a culture of quality, speed, and continuous improvement.
• Own the technical roadmap and architectural vision for our internal tools stack (including Retool, n8n, and other low-code platforms), ensuring it remains scalable, secure, and bug-free.
• Constantly challenge the status quo by identifying operational bottlenecks and driving the development of new automations and tools that have a measurable impact on business efficiency and user satisfaction.

Requirements:

• Proven experience in people leadership, with a strong track record of hiring, mentoring, and developing engineering teams to achieve high performance.
• A solid technical foundation in frontend development, JavaScript, and/or low-code engineering, with hands-on experience using tools like Retool and n8n.
• Exceptional project management skills, with the ability to translate high-level business goals into a prioritized technical roadmap and hold your team accountable for delivery.
• A strategic mindset with the ability to assess complex technical ecosystems, identify risks, and make critical decisions about tooling and architecture.
• Excellent communication skills in English, with the ability to collaborate effectively with operational teams, product leaders, and other stakeholders to get it done.

Your space to perform We give you the space and the tools you need to succeed

Benefits:

• Great, international colleagues who share your mindset.
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
• We support growth with bunq Academy and €1500 annual learning budget.
• A massive discount with Urban Sports Club for your wellbeing (in the Netherlands).
• A Multisport gym card for your health and wellbeing (in Turkey).
• Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.
• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ) (In Turkey and Netherlands).
• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration.
• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
• A MacBook so you can Get Shit Done with us.
• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options.
• An optional pension plan with monthly contribution from bunq (in Netherlands).
• Private health insurance, just in case (in Turkey or Bulgaria).
• Monthly contribution to your phone and internet bills (in Turkey and Netherlands).
• Friday drinks and other celebrations - bunq style.

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As our Lead Security Engineer, you are the digital guardian of our bank. You'll lead the charge in protecting our users and our data from an ever-evolving landscape of cyber threats, ensuring our platform remains a fortress of trust.

You will play a critical role in strengthening and defending our digital environment. You will lead a team of highly skilled security professionals, making bunq safer for users and employees globally.

Key responsibilities include:

• Leading the SecOps team responsible for detecting, investigating, and resolving security events, owning the end-to-end security posture of bunq.
• Working together with our CISO to define our security roadmap by identifying gaps and risks, then driving the implementation of new tools and measures to mitigate those threats.
• Managing and hardening our core corporate infrastructure, including G-suite, AWS, Okta, and our fleet of Apple endpoints.

Requirements include:

• Experience leading a small, hands-on team of Security Engineers, and you aren't afraid to get your hands dirty.
• Extensive, practical experience with SOC processes, incident response, and SIEM software.
• Deep knowledge of security best practices for both cloud and corporate IT environments.
• Hands-on experience managing and securing G-suite, Okta, AWS, Apple endpoints, and device management software (preferably Kandji).
• Fluency in English - able to communicate effectively in a global team, ensuring collaboration and clarity across all project stages.

We give you the space and the tools you need to succeed. Our benefits include:

• Great, international colleagues who share your mindset
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration
• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
• We support growth with bunq Academy and €1500 annual learning budget
• Massive discount with Urban Sports Club
• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices)
• A MacBook so you can Get Shit Done with us
• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options
• An optional pension plan with monthly contribution from bunq
• Monthly contribution to your phone and internet bills
• Friday drinks and other celebrations - bunq style

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As our Product Owner - Cards, your mission is to build the most seamless and secure card experiences on the planet. This means giving our users effortless control over their money - from getting a refund with a single tap, to getting paid by their customers using just their phone.

You'll own features that are critical to our user's financial life and business success. Your responsibilities will include:

Designing and delivering a frictionless, in-app refund process for card payments. Driving the vision and adoption of Tap to Pay, transforming our users' phones into simple, powerful payment terminals and eliminating their need for complex, costly hardware. Ensuring both the refund and Tap to Pay experiences are perfectly adapted to meet the specific expectations and regulations of each new country we enter, making our product feel native everywhere.

If you're up for this challenge, join us!

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We're not looking for a traditional SEO manager who just follows a playbook. We're looking for a strategic leader who lives and breathes AI-driven growth. Your mission is to build a sophisticated, self-improving organic growth engine, centered on our websites, that will become the primary driver of new users for bunq. This isn't about fragmented channels or theoretical strategy. It's about taking ownership of the entire organic ecosystem,from technical foundations to AI-powered content and conversion,and building a compounding flywheel that positions us to win the future of search.

Take Ownership

As our Head of Organic Growth, you are the architect of our website growth. You will:

Bridge Strategy and Execution: You won't just create plans, you'll build the system. You are technically proficient enough to guide on-site optimization but strategic enough to design a cohesive, multi-year growth plan.

Build a Closed Loop Website Growth Engine: Own the integration of our organic channels, focused exclusively on bunq.com and tricount.com. You will connect technical SEO, AI driven content, paid signals, and conversion optimization into a single, unified engine that learns from every interaction.

Innovate Beyond the SEO Playbook: Move beyond outdated tactics. You will architect and implement a modern growth strategy that leverages AI for programmatic content, workflow automation, and preparing our web properties for the next generation of AI driven search.

Lead a High-Performance, AI First Team: Lead, and scale a lean, high output team. Your focus is to 10x impact by replacing manual work with intelligent systems and clear frameworks, ensuring you deliver measurable results, not just reports.

Requirements

This challenge is for you if...

You are a strategic doer, not just a manager or a technician. You have a history of building growth systems from the ground up.

You think in systems, not just channels. You have proven expertise in designing AI driven growth loops that integrate SEO, content, and conversion into a compounding engine.

You are a master of modern, website centric SEO strategy and are obsessed with technical excellence, structured data, and what it takes to win in an AI search world.

You reject old playbooks and constantly seek innovative ways to drive growth, with a deep understanding of how AI is transforming organic discovery.

You have a get shit done mentality and thrive on taking ownership, moving fast, and driving projects to completion in a high-performance environment.

Curious to see how we make life easy? - try the bunq app, it only takes 5 minutes to sign up.

Your space to perform

We give you the space and the tools you need to succeed

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In Operations, we turn molecules into medicine and are unified in our commitment to deliver more medicines to more patients more quickly. We are the critical link that brings innovation from our science labs to patients around the world.

We're achieving all of this while continuing to accelerate our operational excellence through innovative science, Lean ways of working, and evolving digital technologies.

Using cell therapy to halt and reverse disease, restore damaged organs, and, ultimately, cure many life-threatening conditions is now a realistic goal for our scientists and operators.

About Rockville Manufacturing Centre (RMC):

Our role in Operations is to bring these promising therapies from the lab to life through a thorough process of development, manufacturing, testing and supply.

Our fast-paced, growing environment provides a wealth of opportunity and global opportunities to learn from other teams, embrace lifelong learning and build capabilities, setting your own direction and pace for your long-term career.

Introduction to role:

Are you ready to develop an attitude of excellence? Join AstraZeneca's Operations team as the Quality Systems & Compliance Associate Director, Cell Therapy at the Rockville Manufacturing Centre (RMC) facility, the newest addition to our global supply network.

We aim to make a direct impact on patients by delivering life-saving cell therapies. This is your chance to break new ground and leave a collective legacy!

Accountabilities:

As the Quality Systems & Compliance Associate Director, Cell Therapy, you will provide leadership, direction and mentoring to ensure that the QS/C organisation is successful in meeting the quality and manufacturing objectives in support of site goals.

You will represent the QS/C department and/or the Quality Organisation on assigned site governance and operational teams internally, and as an empowered functional representative externally to ensure results are aligned with site business objectives.

You will facilitate the growth and development of QS/C staff, provide strategic support to the Quality Site Lead, Compliance and Site Support, for operational and long-term growth, and demonstrate excellent communication skills through internal and external channels.

Essential Skills/Experience:

• B.S. degree in Science, Engineering, Pharmacy, or related technical field with a minimum of 5 years of applicable experience

• Minimum of 2 years of management/supervisory/project management experience

• Experience in audit and inspection management

• Consistent record of working in a fast-paced, cross-functional work environment

• Excellent written and verbal communication skills

• Team oriented approach to project management and problem resolution

• Proven record of making decisions that balance patient safety, compliance, and supply

• Ability to influence senior collaborators, both internally and externally

• Ability to multi-task and prioritise work

Desirable Skills/Experience:

• M.S. degree in Science, Engineering, Pharmacy, or related technical field with a minimum of 5 years of applicable experience

• Advanced degree in Science, Engineering, Biochemistry, Pharmacy or related technical field

• Experience with Quality Systems (e.g. Veeva Vault) is desirable.

• Experience with Cell Therapy regulatory inspections

• Extensive working knowledge of international Cell Therapy GxP regulatory frameworks, regulations, and guidance.

• Experience engaging with global regulatory bodies

• Consistent track record of attracting and developing talent

Benefits:

AstraZeneca offers a competitive salary range of $129,556.80 - $194,335.20 USD Annual, a short-term incentive bonus opportunity, eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).

Benefits offered include a qualified retirement program (401(k) plan), paid vacation and holidays, paid leaves, and health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an 'at-will position' and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

At AstraZeneca, we champion a perspective of excellence. Our environment is driven by a belief that good can always be better. We continuously seek opportunities to contribute by harnessing science and evidence to foresee risks. It's a place where innovation thrives as we focus on delivering life-changing medicines to patients.

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As an Engineering Manager, you will be part of the Discovery team in the Guest Experience department. The team is responsible for designing and maintaining the list page of our website, ensuring users can easily find the best vacation rental from our search results.

Your contributions will help create a seamless and joyful journey for travellers, which will result in increasing conversion rates and customer satisfaction.

Your team will consist of frontend & backend engineers (direct reports), a project manager and a QA engineer.

You'll work closely with the Ranking, Conqueror, and Marketing teams, which manage the machine learning models for property ranking on the list page, booking systems, and Holidu's marketing efforts. Together, you'll ensure a seamless and cohesive user experience.

Our Tech Stack

• Frontend: Typescript and NodeJS processes in Kubernetes. We use ReactJS, Zustand and TailwindCSS on the client and Express on the server.

• Backend: Java 17/21, Kotlin (Spring Boot).

• Infrastructure: Microservices architecture deployed on AWS Kubernetes (EKS).

• Data Management: PostgreSQL, Redis, Elasticsearch 7, Redshift (part of a data lake structure).

• DevOps Tools: AWS, Docker, Jenkins, Git, Terraform.

• Monitoring & Analytics: ELK, Grafana, Looker, Opsgenie, and in-house solutions.

Your role in this journey

• Lead a high-performing cross-functional team, focusing on product innovation, infrastructure reliability, delivery speed, quality, engineering culture, and team growth.

• Ensure your team delivers applications that are highly scalable, highly available, and capable of handling high traffic of up to 1 million unique users per day.

• Support team growth through regular feedback, mentorship, and by recruiting exceptional engineers.

• Work closely with product management, product design, and stakeholders to define the team's goals (OKR’s) and roadmap.

• Collaborate with peers, staff engineers, and other stakeholders to drive strategic technology decisions.

• Lead strategic team-driven projects, identify opportunities, define and uphold quality standards.

• Foster a great team culture aligned with the company values, ownership, autonomy, and inclusivity within your team and the entire department.

• Take full responsibility for delivering impactful features to millions of users annually.

The role includes dedicating approximately 40-50% of the time as an individual contributor focused on feature implementation.

Your backpack is filled with

• A bachelor's degree in Computer Science, a related technical field or equivalent practical experience.

• Experience building and implementing backend services and/or frontend applications.

• Experience providing technical leadership (e.g., setting goals and priorities, architecture design, task planning and code reviews).

• Experience as a people manager with the ability to build an excellent team culture based on mutual respect, empathy, learning and support for each other.

• Love for building world-class products with a great user experience.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters,and you’ll see the impact.

• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets,with a strong focus on AI.

• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts,people we can all relate to,making work meaningful and energizing.

• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

• Competitive Package: 95.000-125.000€ + VSOPs based on relevant experience and seniority , learn more about our approach to compensation here.

• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized,but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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Collaborate with other technical support engineers who may need assistance working on an issue; utilize his/her area of expertise to help others in order to quickly facilitate solutions for the customer. Build and foster working relationships with trading groups with a focus on execution services team. Work with global counterparts to provide seamless 24/7 global coverage.

Trading Infrastructure / Platform Status Communications – disseminate messages to the appropriate trading staff regarding trading infrastructure / platform issues, exchange updates, etc. Uplift environment management tools to reduce risk and streamline efficiency of support team. Assist with automating processes to achieve efficiency and streamlined trade support.

Document and create new knowledge base to provide the most effective solutions to trading issues. Deployment of, support of, and monitoring of the firm’s internal trading systems. Coordinate with vendors, internal application owners, infrastructure owners, and tech support to ensure trading platforms are correctly installed, configured, and tested.

Liaise with development and infrastructure teams, prioritize tool enhancements, and coordinate and participate in software/new version releases. Liaise with Dev and Infrastructure teams to coordinate and participate in software/new version releases.

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In this role, you will contribute to the continuous improvement of our DevOps processes, collaborate with cross-functional teams, and apply best practices for scalable, reliable, and secure systems.

Our ideal candidate has a solid technical foundation, a strong hands-on approach, and the ability to deliver results with minimal supervision.

Our Tech Stack

• Cloud: AWS (EC2, S3, RDS, EKS, Elasticache, Lambda)
• Container Orchestration: Kubernetes with Helm
• Infrastructure as Code: Terraform + Terragrunt, Pulumi/ CDK
• Monitoring & Observability: Prometheus, Grafana, Elastic Stack, OpenTelemetry
• CI/CD: Jenkins, GitHub Actions, ArgoCD, ArgoRollouts
• Scripting: Python, Go, Bash
• Version Control: GitHub
• Collaboration: Jira (Agile)
• Automation: N8N, AI-assisted tooling (Agentic ADK)

Your role in this journey

As a DevOps Engineer, you will be responsible for:

• Implementing and maintaining infrastructure definitions using Terraform, Pulumi, or similar tools
• Ensuring IaC standards are followed and contributing improvements to existing modules and patterns
• Managing and monitoring AWS services, ensuring system performance, availability, and adherence to best practices
• Troubleshooting production issues and participating in capacity planning
• Maintaining and troubleshooting Kubernetes clusters , deploying workloads, managing configurations, scaling services, and resolving incidents to support high-availability applications
• Maintaining and improving CI/CD pipelines to ensure smooth, automated software delivery
• Identifying bottlenecks and implementing enhancements across Jenkins, GitHub Actions, ArgoRollouts and ArgoCD
• Maintaining and extending our monitoring stack (Prometheus, Grafana)
• Building dashboards, configuring alerts, and improving observability to ensure comprehensive visibility into system health and performance

Your backpack is filled with

• 4+ years of experience in a DevOps, SRE, or cloud engineering role with hands-on production experience
• Solid working experience with AWS services (EC2, EKS, S3, RDS, Lambda) and cloud infrastructure management
• Hands-on experience with Docker and Kubernetes in production environments , deploying, scaling, and troubleshooting containerized workloads
• Practical experience with at least one Infrastructure as Code tool (Terraform, Pulumi, or AWS CDK)
• Experience maintaining and improving CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
• Proficiency in scripting with Python, Bash, or Go for operational automation
• Working knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms
• Familiarity with logging and log aggregation systems (Elastic Stack, Open Telemetry, or similar)
• Solid understanding of Linux administration, networking fundamentals, and system security basics
• Strong communication skills with the ability to collaborate across teams and explain technical decisions clearly

Nice to Have

• Experience with Helm charts and Kubernetes package management
• Familiarity with GitOps workflows (e.g., Github Actions, ArgoCD, Flux)
• Experience with designing AWS services-based architectures is a plus
• Experience with AI automation or low-code/no-code platforms such as N8N is a plus
• Familiarity with prompt engineering and using AI tools to augment DevOps workflows
• Exposure to cost optimization strategies for cloud infrastructure
• Experience with incident response, on-call rotations, or SRE practices (SLOs, error budgets)
• Experience with DevSecOps practices , integrating security scanning and compliance into CI/CD pipelines

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
• Learning: Grow professionally in a culture that thrives on curiosity and feedback
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other
• Technology: Work in a modern tech environment
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized

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As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.

You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.

You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.

Key Responsibilities:

• Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.

• Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.

• Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.

• Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.

• Research and stay updated with the latest advancements in machine learning and AI technologies.

• Participate in code reviews, technical discussions, and knowledge sharing sessions.

• Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.

Required Skills & Qualifications:

• Bachelor's with 10+ years, Master's with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.

• Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.

• Hands-on experience with data processing, experimentation, and exploration.

• Strong programming skills in Python.

• Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills to collaborate with technical and non-technical stakeholders.

• Ability to work independently and collaboratively.

Additional Preferred Skills & Qualifications:

• Understanding of the financial markets, including experience with financial datasets, is strongly preferred.

• Experience with ML frameworks such as PyTorch, TensorFlow.

• Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.

• Previous experience working in an Agile environment.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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The successful candidate will be directly involved in a critical path for high-volume trading with a core focus on technical and economic performance. They will work closely with quantitative research to optimize the firm's overall execution performance.

Key responsibilities include:

• Building out the C++ low-latency framework for algorithmic trading
• Developing execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces
• Enhancing the platform's efficiency using network and systems programming
• Creating systems, interfaces, and tools for historical market data and trading simulations
• Assisting in building and maintaining automated tests, performance benchmark framework, and other tools

The ideal candidate will have 5+ years of professional experience in a front-office, financial services environment as a senior contributor, with a strong background in data structures, algorithms, and object-oriented programming in C++. They should be proficient with new features of C++17/C++20/C++23, multithreading, and asynchronous environments. A degree in computer science or a related field is required.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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Redefine clinical trials through innovation. You will serve as the strategic catalyst between R&D IT, Clinical Development, senior leadership, and cross-functional partners, ensuring emerging technologies are adopted responsibly, compliantly, and with measurable impact.

As a key member of our team, you will operate at the nexus of product strategy, agile delivery, and regulatory compliance, translating powerful innovations (digital health, wearables, decentralized trials and AI-enabled applications) into practical, scalable solutions that drive business value and scientific breakthroughs.

This role demands deep expertise in innovation product management, agile methodologies tailored to regulated environments, and proven track record to influence executive partners while navigating complex organisational dynamics.

Accountabilities:

• Drive Innovation Product Strategy & Transformation

• Lead Agile Delivery & Cross-Functional Collaboration

• Enable Compliant Innovation Adoption

• Measure Impact & Drive Continuous Improvement

• Develop Talent & Foster Innovation Culture

Essential Skills/Experience:

• Bachelor of Science in Computer Science, Engineering, Life Sciences, Health Informatics, or equivalent discipline (or equivalent experience)

• Extensive experience (8+ years) in product management or product ownership, with a proven track record of delivering technology-enabled products or digital solutions in clinical research or healthcare

• Deep expertise in agile delivery methodologies (Scrum, SAFe, Kanban) with demonstrated ability to apply these frameworks in complex, regulated environments

• Strong understanding of emerging technologies applicable to clinical trials, including digital health, wearables, decentralized trials and AI-enabled applications

• Proven experience in regulated industries (pharmaceutical, biotechnology, medical devices, or healthcare), with knowledge of ICH/GxP, FDA, EMA, or equivalent regulatory standards

Desirable:

• Advanced degree (Master's or PhD) in Computer Science, Engineering, Life Sciences, Health Informatics, or related field

• Recognised agile certification

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This role requires a strong technical background in Data Management, Data Architecture, Data Lineage, Data Quality, Master Data Management (MDM), and automation within Financial Services and/or Technology.

You will contribute to and help lead the technical design of data governance controls, data models, and integration patterns, partnering closely with Technology and Operations teams.

Key Responsibilities:

• Build/enhance data governance frameworks, controls, standards, and workflows (policies, definitions, entitlements).
• Create data quality rules and monitoring; automate exception detection, alerting, remediation, SLAs, and RCA.
• Develop Python/SQL/ETL-ELT automation for checks, controls, and reporting; deliver Tableau/Power BI dashboards and KPIs.
• Contribute to conceptual/logical/physical data modeling for Trader Master and core domains.
• Support MDM capabilities: golden record, matching/merging, survivorship, stewardship workflows; help shape MDM strategy.
• Implement access/entitlement governance (RBAC, row/column security) across DB/warehouse/BI with audit compliance.
• Maintain catalog, glossary, lineage, schema history, impact analysis; manage structured change workflows.
• Define integration patterns (batch/API/streaming) and build reconciliations/validations across systems.
• Manage historical/temporal data (validation, backfills, remediation) supporting regulatory/reporting/analytics.
• Produce technical documentation (designs, runbooks, data dictionaries), share knowledge, and mentor juniors.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Finance, or related field; advanced degree (MS, MBA, or equivalent) is a plus.
• 5–8 years of experience in financial services or fintech with hands-on work in data engineering, data management, or data architecture roles; exposure to trading strategies, fund structures, and financial products strongly preferred.

Technical Expertise (Required):

• Strong Python and SQL; experience with data warehousing + ETL/ELT.
• Familiarity with MDM/data governance tools (e.g., Collibra, Informatica, Alation) and Tableau/Power BI.
• Proven ability to lead delivery, solve complex data issues, and communicate with technical/non-technical stakeholders.
• Preferred certs: DAMA/CDMP, cloud (AWS/Azure/GCP), Scrum, BI/data engineering.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future.

When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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The team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

• Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
• Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
• Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
• Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
• Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
• Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
• Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
• 5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
• Experience working with AI models, Agentic frameworks and security risks associated with AI.
• Experience in working with global teams, collaborating on code and presentations.
• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies.
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus.
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.

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The role is focused on Level 1+ support of Millennium's Rates, Credit, Mortgages, Commodities, and FX trading platforms, and monitoring systems.

Responsibilities

• Provide Level 1+ support for Fixed Income, Commodities, and FX Trading System users.
• Build up an understanding of various trading, trade processing, and risk reporting systems, including Front-end trading, Trade Capture, Risk and Pnl, Trade Repository, and Prime Brokerage clearing.
• Troubleshoot trade-related issues and train users on various platforms.
• Support Millennium's proprietary platform for electronic and algo trading, including testing, capturing requirements, and marketing and implementing algos with our PM teams.
• Monitor and support intra-day and EOD jobs, platform performance, enhance, and support of trade processing platform.

Qualifications

• 3-5 years front office trading support experience preferred.
• Knowledge and understanding of fixed income products (Rates, Credit, Futures, Derivatives), Commodities, and FX.
• Good team player who is able to prioritize competing demands in a fast-moving, high-pressure environment.
• Possesses a strong sense of urgency.
• Excellent written and oral communication skills.
• Detail-oriented, demonstrates thoroughness, and strong ownership of work.
• Quick thinker and problem solver, able to think on their feet and make informed decisions to resolve/mitigate issues.
• Experience with 3rd party trading systems (Bloomberg FIT/ALLQ/FXGO/CDX/IRS, Brokertec, Tradeweb, MarketAxess, Trading Technologies (TT), WebICE, CME Direct, etc.) is a plus.
• Experience with Bloomberg and/or Reuters is a plus.
• Interest in financial markets and news a plus.
• Unix shell experience a plus.

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With a rare dual remit spanning Global and US, you will integrate inputs from US operations, global functions, and regional/marketing company teams into a unified, authoritative single source of truth. As a trusted partner to senior executives, you will anticipate needs, orchestrate integrated insights, analytics, and forecasting, and turn complexity into clarity that guides therapy-area strategies and enterprise-wide decisions.

Leading from the front, you will build future-ready capabilities, inspire high-performing teams, and drive the commercial transformation that will define AZ's competitive edge over the next decade.

Accountabilities:

• Lead Global and US insights, analytics, and forecasting to inform long-, mid-, and near-term plans, early investment choices, lifecycle strategy, and quarterly reviews.

• Translate complex analytics into clear strategic options and trade-offs for senior stakeholders.

• Oversee industry-leading insight programs that combine primary research, secondary data, and competitive intelligence to surface unmet needs and patient-journey drivers.

• Ensure all research meets compliance and ethical standards and generates actionable findings for portfolio and brand decisions.

• Own transparent, patient-based revenue models that guide portfolio and investment decisions and align with clinical and commercial strategies.

• Drive innovation (predictive modeling and automated insight extraction) and embed these capabilities into decision making.

• Integrate Global strategy, US priorities, and Regional market dynamics into a cohesive view; create feedback loops so each informs the other and resolve tensions when they arise.

• Run an agile operating model with clear prioritization and resource allocation; manage budgets and vendor partners, deciding when to build in-house vs. outsource.

• Inspire, develop, and retain a geographically dispersed team; foster a culture of experimentation and continuous improvement.

Essential Skills/Experience:

• BSc/BA degree in business or related discipline

• 8+ years of experience within the pharmaceutical or biotechnology industries including 5+ years in commercial, market access or insights, analytics or forecasting with global and US

• Extensive People management experience

• Experience building and optimizing teams and commercial capabilities

Desirable Skills/Experience:

• Advanced degree preferred (e.g., MBA, MPH, PharmD, PhD)

• Proven success leading large, geographically dispersed teams (40+ direct and indirect reports) through transformation and growth

• Experience in therapy areas aligned with AstraZeneca’s Biopharmaceutical division

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Our team is a specialized group of engineers operating at the intersection of technology and quantitative finance. We function as an internal centre of excellence, providing expert-level solutions, architecture, and hands-on development in AI, Cloud (AWS/GCP), DevOps, and high-performance computing.

As a forward deployed software engineer, you will be responsible for translating complex research requirements into robust, scalable, and secure technical architectures across on-prem, hybrid, and cloud environments. You will write high-quality, production-ready code across the full stack, including Python libraries, infrastructure-as-code (Terraform), CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.

You will also develop and maintain our suite of managed products, reusable patterns, and best practice guides to provide self-service options and accelerate onboarding for new and existing teams. Additionally, you will act as the primary technical point of contact for embedded engagements, owning projects from discovery and planning through to implementation, knowledge transfer, and support.

To succeed in this role, you will need to have a deep understanding of computer science principles, including data structures, algorithms, and system design. You will also need to have experience working with cloud providers, such as AWS or GCP, and be familiar with infrastructure-as-code concepts. Excellent verbal and written communication skills are also essential, as you will need to build strong relationships with stakeholders and articulate complex ideas to diverse audiences.

Innovative thinking and a passion for AI/ML and its practical applications are highly desirable. Experience designing systems and architectures from ambiguous business needs, as well as experience with scheduling or asynchronous workflow frameworks/services, is also preferred.

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Responsibilities:

• Collaborate with application development teams, technology management, and the business to design, prototype, and implement next-generation web UIs and mobile apps.
• Develop, maintain, and support existing Java Client UI used by a quarter of the firm.
• Contribute to the application development and architecture of highly scalable real-time UIs.

Qualifications, Skills, and Requirements:

• 5+ years of full-stack development experience, preferably within a financial services firm supporting real-time UIs.
• Expertise with Core Java and Spring.
• Excellent grasp of data structures and algorithms and the ability to learn and adopt new technologies quickly.
• Familiarity with database technologies – Advanced SQL, NoSQL, Time-series databases (KDB).
• Experience with event-driven architecture using message bus and caching technologies like Solace, Kafka, Pulsar, Memcached, Redis.
• Experience working with various monitoring tools like Datadog, ELK stack.
• A strong interest in financial markets and a desire to work directly with investment professionals.
• A good team player with a strong willingness to participate and help others.
• Drive to learn and experiment.

Nice-to-have:

• Proficiency with Angular UI is preferred; React will also be considered.
• Familiarity with equities and equity derivatives within a real-time electronic trading environment is preferred.
• Experience with KDB+ q or C/C++.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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The successful candidate will focus on a Private Credit buildout, with particular emphasis on equities and options, and on integrating with third-party platforms such as Murex and ION. They will design, develop, and maintain Java-based services that support a real-time trade capture platform for our autocallable buildout, and build and support Kafka-based streaming pipelines to process, normalize, and distribute trading and reference data to downstream systems.

Key responsibilities include collaborating closely with portfolio managers, traders, operations, and risk teams to understand requirements and translate them into robust technical solutions, contributing to the architecture and design of low-latency, high-availability components, including multithreaded and distributed systems, and monitoring, troubleshooting, and resolving production issues related to trading workflows, data integrity, and system performance.

We are looking for a highly skilled and experienced software engineer with a strong background in Java, Kafka, and front-end technologies using Typescript/Javascript, in this role you'll be using Angular. You should have a solid understanding of object-oriented design, design patterns, and multithreading in distributed systems, and hands-on experience with unit testing and integration testing frameworks and best practices.

In addition, you should be familiar with CI/CD pipeline (Jenkins) and DevOps tools/practices (e.g., Git, build tools, automated testing, deployment automation), experience with SQL databases such as Postgres and SQLServer, and comfort with modern IDEs and developer productivity tools; openness to using AI-assisted development tools and modern developer workflows.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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You'll be working at the heart of our property acquisition engine , where we take hosts from their very first sign-up all the way to their first booking, making that journey as fast and seamless as possible.

This team sits at a uniquely strategic intersection of product and growth. You will build and optimize the systems that every new host flows through: from onboarding and listing creation, to property configuration, content quality, and referral programs.

The work demands reliability and attention to detail , because the time between a host signing up and welcoming their first guest, and how well their property performs from day one, is directly shaped by the quality of what you build.

Our Tech Stack

• Backend written in Kotlin and Java 21+ (with Spring Boot), with Gradle.
• Deployed as microservices on AWS-hosted Kubernetes cluster (EKS).
• Internal and external web applications written with ReactJS.
• Event-driven communication between services through EventBridge with SQS / ActiveMQ.
• Usage of a diverse set of technologies depending on the use case, such as PostgreSQL, S3, Valkey, ElasticSearch, GraphQL, and many more.
• Monitoring with OpenTelemetry, Grafana, Prometheus, ELK, APM, and CloudWatch.

Your role in this journey

• Design, build, evolve, and maintain our services, creating a great user experience for our hosts.
• Build a strong understanding of the product, use it to drive initiatives end-to-end, and contribute to shaping the team's direction as you grow.
• Work AI-first: use AI to accelerate not just coding, but data exploration, codebase understanding, technical design, and decision-making , and continuously sharpen how you use these tools.

Your backpack is filled with

• A passion for great user experience and drive to deliver world-class products.
• Early experience delivering product impact through engineering , you've shipped things that real users depend on.
• Experience with Java or Kotlin with Spring is a plus.
• Experience with relational databases and deploying apps in cloud environments. NoSQL experience is a plus.
• Familiarity with various API types and integration best practices.
• Strong problem-solving skills and a team-oriented mindset.
• Curiosity for the business side - you want to understand the “why” behind the features.
• A love for coding and building high-quality products that make a difference.
• High motivation to learn and experiment with new technologies.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data.

Principal Responsibilities:

• Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

• Optimise existing components for latency, throughput, and CPU/memory efficiency.

• Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.

• Profile and debug performance issues at application, OS, and network levels.

• Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.

• Write clean, production-quality code with appropriate tests and documentation.

• Participate in code reviews, design discussions, and continuous improvement of engineering practices.

Required Qualifications:

• Strong proficiency in modern C++ (C++17/20 or later).

• 5+ years of experience.

• Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.

• Familiar with basics statistics as applied to financial research.

• Proven experience building performance-critical, real-time, or low-latency systems.

• Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.

• Experience using profiling, benchmarking, and performance analysis tools.

• Proficiency with version control (Git) and standard build systems.

• Excellent problem-solving skills and attention to detail.

• Strong interpersonal skills with a proven ability to navigate large organisations.

Preferred Qualifications:

• Experience with kernel bypass or user-space networking technologies.

• Familiarity with AI productivity enhancing coding tools.

• Experience in financial markets, market data distribution, order routing, or exchange connectivity.

• Experience with monitoring/telemetry for high-performance systems.

• Familiarity with scripting languages for tooling and automation.

• AI: Familiarity with AI productivity enhancing coding tools.

Personal Attributes:

• Obsessed with performance, measurement, and data-driven optimisation.

• Comfortable owning features end-to-end and operating in a production environment.

• Clear communicator who can work closely with both technical and non-technical stakeholders.

• Proactive, self-directed, and able to thrive in a highly iterative environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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The team includes low-latency Linux, network, datacenter, and C++ engineers focused on our end-to-end trading stack.

Key responsibilities include monitoring and assessing the quality of live and historical market data, detecting, inventorying, and remedying data gaps, maintaining and documenting exchange session times, holiday schedules, timestamp rules, and protocol/microstructure changes, analyzing latency, data rates, bursts, and message flows to understand microstructure behaviour and system performance, cleaning, transforming, and managing an inventory of large-scale datasets, building and improving tools for market data capture, working with vendors and brokers to assess and provision datasets, building and improving tools for data analysis, visualization, and diagnostics on top of captured market and network data, enhancing and extending C++ analytics libraries and exposing them within a Python environment for systematic research and alpha development, and collaborating closely with portfolio managers, quantitative researchers, and engineers to translate trading use cases into robust data and tooling solutions.

Qualifications include a Bachelor's or Master's in Computer Science, Mathematics, Statistics, Engineering, or another quantitative field, or equivalent experience, 3+ years of experience in financial markets, electronic trading, or high-frequency/systematic environments, strong programming skills in Python, C++, and SQL, solid understanding of modern statistical testing methods and comfort working with large, noisy, real-world datasets, experience with Linux, large-scale data processing, and preferably network data (PCAP, timestamping, PTP) and low-latency systems, and strong problem-solving skills, attention to detail, and effective communication with both technical and non-technical stakeholders.

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This program offers a blend of paid, hands-on experience and structured learning through in-house training and classroom instruction at Durham Technical Community College.

As an AstraZeneca apprentice, you will be a full-time employee and receive pay for both on-the-job training and academic coursework. A typical schedule includes 24–32 hours per week onsite at AstraZeneca, with the remaining hours spent in classes at Durham Technical Community College, based on the academic calendar.

You will join the Analytical Development team, supporting analytical chemistry laboratories and performing testing and studies that help ensure the quality of medicines produced onsite in Durham and across our global network.

Responsibilities:

• Support day-to-day laboratory operations, including ordering supplies, maintaining equipment, conducting instrument checks, managing samples and materials, and maintaining visual dashboards for lab readiness
• Prepare solutions and samples, and perform routine analytical testing
• Assist with analytical method development and laboratory studies
• Maintain accurate documentation and data in compliance with cGMP requirements
• Contribute to continuous improvement activities to enhance laboratory efficiency

What you will learn:

• Chromatographic techniques and HPLC/UPLC and data systems (e.g., Empower)
• cGMP laboratory practices and quality standards in a regulated environment
• Use of electronic lab notebooks, and digital and AI-enabled tools
• Application of Lean principles and continuous improvement in daily work

Education & Coursework:

AstraZeneca partners with Durham Technical Community College to provide classroom instruction and laboratory training as part of the apprenticeship. Coursework supports the development of core scientific and technical skills, and successful completion of the associate degree is required to earn the apprenticeship certificate.

Minimum Requirements:

• High school diploma or GED (must be earned by start date)
• 0 years of related work experience required
• Willingness to complete a 30-minute online assessment
• Ability to stand for prolonged periods
• Proficiency in English (ability to read, write, and understand documents)
• Basic computer skills, including Microsoft Word, Excel, PowerPoint, and Outlook
• Ability to commute to AstraZeneca site and Durham Technical Community College

Preferred Qualifications:

• Currently enrolled in an Associate degree program in a science-related field
• Currently enrolled in or have completed General Chemistry I and/or II (or equivalent coursework)

To apply, please register your interest in the program and receive notifications when the formal application window opens.

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You will build reliable, scalable data products and user experiences that power AI/ML modeling, agentic workflows, and reporting,working end-to-end from data ingestion and transformation through to UI. Our Python-based data platform is undergoing a major evolution toward a modern, cloud-native ELT architecture. We are standardizing on Snowflake as our central data platform and dbt as our core transformation framework, implementing scalable, maintainable ELT practices that simplify ingestion, modeling, and deployment.

This role will be pivotal in independently designing and building robust data pipelines and semantic layers that directly power our AI and machine learning initiatives,delivering clean, reliable, and well-modeled data assets to our data science team for feature engineering, model training, and production inference. You will collaborate closely (primarily via remote channels) with data scientists and ML engineers to ensure our data ecosystem is optimized for experimentation speed, model performance, and seamless integration into downstream products and services.

Key Responsibilities

• Remote collaboration & communication: Operate effectively as an offshore member of a distributed team, proactively communicating status, risks, and blockers across time zones and coordinating overlap with US working hours as needed.

• Full-stack data engineering: Build across the entire stack, including data ingestion/acquisition and transformation, APIs, front-end components, and automated test suites, delivering production-grade solutions with minimal hand-holding.

• Autonomous delivery & ownership: Take end-to-end ownership of features and projects,clarifying requirements, breaking work into milestones, estimating timelines, and delivering high-quality, well-documented solutions.

• Specification and design: Translate short- and long-term business requirements, architectural considerations, and competing timelines into clear, actionable technical specifications and design documents.

• Code quality: Write clean, maintainable, efficient code that adheres to evolving standards and quality processes, including unit tests and isolated integration tests in containerized environments.

• Continuous improvement: Contribute to agile practices and provide input on technical strategy, architectural decisions, and process improvements, continuously suggesting better tools, patterns, and automation.

Required Skills & Experience

• Professional experience: 5+ years in software engineering, with a full-stack background building complex, scalable data-engineering pipelines using data warehouse technology, SQL with dbt, Python, AWS with Terraform, and modern UI technologies.

• Modern data engineering: Strong experience with medallion data architecture patterns using data warehouse technologies (e.g., Snowflake), data transformation tooling (e.g., dbt), BI tooling, and NoSQL data marts (e.g., Elasticsearch/OpenSearch).

• Testing and QA: Solid understanding of unit testing, CI/CD automation, and quality assurance processes for both data pipeline testing and operational data quality tests.

• Remote work & autonomy: Proven track record working in a remote or distributed environment, demonstrating self-motivation, reliable execution, and the ability to make sound technical decisions independently.

• Agile methodology: Working knowledge of Agile development practices and workflows (e.g., sprint planning, stand-ups, retrospectives) in a distributed team setting.

• Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.

Preferred Skills & Experience

• Machine learning and AI: Hands-on experience with large language models (LLMs) and agentic frameworks/workflows.

• Search and analytics: Familiarity with the ELK stack (Elasticsearch, Logstash, Kibana) for search and analytics solutions.

• Cloud expertise: Experience with AWS cloud services; familiarity with SageMaker; and CI/CD tooling such as GitHub Actions or Jenkins.

• Front-end expertise: Experience building user interfaces with Angular or a modern UI stack.

• Financial domain knowledge: Broad understanding of equities, fixed income, derivatives, futures, FX, and other financial instruments.

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As an intern, you'll get hands-on experience with real problems and have the opportunity to make a meaningful impact. You'll work on building and supporting data pipelines, digging into data quality, getting hands-on with cloud infrastructure, and exploring AI-assisted development.

Our team uses a range of technologies, including Redshift, Athena, DuckDB, Terraform, Docker, Jenkins, ELK, Grafana, Looker, OpsGenie, Kafka, Airbyte, and Fivetran. You'll have the chance to learn from experienced engineers and contribute to the development of our data systems.

In this role, you'll be part of a team that genuinely loves what they do and is passionate about building a better data foundation for Holidu. You'll have the opportunity to take responsibility from day one and develop through regular feedback.

We offer a fair salary, the chance to make a difference for hundreds of thousands of monthly users, and the opportunity to grow and develop through regular feedback. You'll also have access to a range of benefits, including a hybrid work policy, the chance to work from other local offices, and a corporate subscription to Urban Sports Club or a premium gym membership at a discounted rate.

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The Forecasting Director, Oncology leads the US forecasting process for Gynecology+ Genitourinary indications and the LYNPARZA brand in the Oncology portfolio. As a thought partner to the business, the Forecasting Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks & opportunities that may impact performance to ultimately guide commercial strategy and decision-making.

Strong analytical and critical thinking skills are essential to developing rigorous forecasts using patient-flow / patient-based models and incorporating new AI capabilities. The Forecasting Director seamlessly collaborates with Insights and Analytics colleagues to deliver fact-driven, actionable insights to the business.

In addition, the Forecasting Director will closely partner with Marketing, Sales, Market Access, Sales Operations, Global Analytics & Insights, Supply Planning, and Finance to ensure alignment on forecast assumptions and narrative. The Forecasting Director regularly presents to senior leaders the forecast and performance story.

Key abilities include consultative and influencing skills, quantitative technical skills, and proficiency in interpreting primary market research / secondary data analyses. The Forecasting Director's deep expertise in forecasting enables them to solve complex technical challenges efficiently and effectively, anticipate upcoming forecast questions, and identify innovative solutions, including AI, that benefit the entire portfolio.

Beyond brand-level contribution, the Forecasting Director plays an integral role as a leader within the US Oncology Forecasting & Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, best practices, and capability builds. In addition, the Forecasting Director will help to coach and train a forecasting & performance talent pipeline.

This role reports to the Integrated Insights Senior Director for the Tumor Franchise and sits within US Integrated Insights - Oncology Business Excellence organization, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics.

Roles & Responsibilities:

• Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.)

• Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update

• Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities

• Incorporate AI analytical tools into the forecast process and drive continuing enhancements of the AI forecasting platform

• Collaborate cross-functionally with key commercial leaders, Business Excellence colleagues, and other forecast stakeholders to align on objective, data-driven forecast inputs

• Provide in-depth analyses of underlying drivers of brand performance in support of key business deliverables and milestones (e.g. Quarterly Business Reviews)

• Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends

• Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events

• Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling

• Collaborate with senior US leaders on performance narrative for C-level audience

• Maintain effective relationships with contractors and other third-party vendors through oversight of the vendor management process

• Direct and help prioritize work of Forecasting & Performance Associate Directors, Sr. Managers, and Sr. Analysts

• Work with US Oncology Forecasting Center of Excellence Senior Director to build forecasting capabilities and identify and drive cross-brand forecasting process efficiencies, automation, and innovation (including AI capabilities)

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Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely.

The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

• Contribute to a wide range of projects and deliver quickly and iteratively.
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
• Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

• 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
• Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
• Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
• Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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Responsibilities:

• Build the core application and workflow agents for Market Data Operations in Python; integrate with AWS and internal systems like the Market Data Warehouse.
• Ingest and understand contracts at scale, using LLMs to extract costs, fee schedules, entitlements, renewal terms, and payment details.
• Connect the dots between contracts, entitlements, invoices, and payments so Ops, Legal, and Finance can see a single 'source of truth' and catch issues early.
• Design and tune LLM workflows (prompt engineering, tool/MCP integration, structured outputs) for contract Q&A, summarization, and exception flagging.
• Own monitoring and controls for the AI system: logging, metrics, guardrails, and human-in-the-loop review to keep performance, reliability, and quality high.
• Work directly with stakeholders (Market Data Ops, analysts, Legal, Finance/AP) to understand their workflows and quickly iterate on features that actually get used.

Required Skills & Experience:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of professional experience with Python, including building production services (Django, Flask, or FastAPI).
• Experience working with unstructured documents (contracts, PDFs, legal docs) and turning them into structured data.
• Prompt engineering and working with structured JSON outputs
• Comfort wiring models into real applications (tool/MCP-style integrations, APIs).
• Experience using cloud platform, ideally AWS.
• Able to define and track quantitative metrics for AI features (accuracy, latency, cost, etc.).
• Strong communication skills and comfortable working directly with non-technical users.
• Enjoys a start-up-like environment inside a large firm: small team, high ownership, fast iteration.

Nice to Have:

• Experience building AI solutions in financial services, especially around market data, vendor management, or legal/contract workflows.
• Familiarity with entitlements/governance and large internal data platforms (e.g., a Market Data Warehouse).

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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The successful candidate will join a global team responsible for designing and developing Equities Volatility, Risk, PnL, and Market Data systems.

You will work hands-on with other developers, QA, and production support, and will partner closely with Portfolio Managers, Middle Office, and Risk Managers.

We are looking for a very strong senior engineer with deep knowledge of equity derivatives products and their pricing and risk characteristics.

You must be a highly capable hands-on developer with a solid understanding of front-to-back trading system workflows, especially pricing and risk.

Excellent communication skills, strong ownership, and the ability to work effectively in a fast-paced, collaborative environment are essential.

Experience in Unix/Linux environments is required; exposure to cloud and containerization technologies is a plus.

Principal Responsibilities

• Design, build, and maintain real-time equity derivatives pricing and risk systems (including volatility and PnL components).

• Implement robust, scalable, and low-latency server-side components in a multi-threaded environment.

• Collaborate with portfolio managers, risk, and middle office to translate business requirements into technical solutions.

• Contribute to UI components as needed (and learn new UI technologies where required).

• Write clear technical documentation and maintain system design and support guides.

• Develop and execute automated tests using approved frameworks; ensure production quality and reliability.

• Provide level-3 support, troubleshooting, and performance tuning for production systems.

Qualifications & Skills

• 7+ years of professional experience as a server-side software engineer.

• Deep understanding of equity derivatives products (options, volatility products, exotics) and their pricing and risk measures (e.g., Greeks, PnL attribution).

• Strong experience with concurrent, multi-threaded, and low-latency application architectures.

• Expertise in Object-Oriented design, design patterns, and best practices in unit and integration testing.

• Experience with distributed caching and replication technologies.

• Solid knowledge of Unix/Linux environments is required.

• Experience with Agile/Scrum development methodologies is required.

• Exposure to front-end/UI technologies (JavaScript, HTML5) is a plus.

• Experience with cloud platforms and containerization (e.g., Docker, Kubernetes) is a plus.

• B.S. in Computer Science, Mathematics, Physics, Financial Engineering, or related field.

• Demonstrates thoroughness, attention to detail, and strong ownership of deliverables.

• Effective team player with a strong willingness to collaborate and help others.

• Strong written and verbal communication skills; able to explain complex technical and quantitative topics to non-technical stakeholders.

• Proven ability to write clear, concise documentation.

• Fast learner with the ability to adapt to new technologies and business domains.

• Able to perform under pressure, work with ambitious team members, and handle changing priorities.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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The role centers on novel target identification and validation for cell therapy discovery initiatives, underpinned by an in-depth understanding of cellular and molecular immunology, pathology of inflammation and immune disorders and/or expertise in CAR-T engineering.

Key responsibilities include: Demonstrating a comprehensive understanding of immunopathology at the cellular and molecular levels; multi-omics and bioinformatic data analysis; the landscape of known drug targets and therapeutics across modalities in clinical use; and emerging targets with investigational therapeutics in the field.

Partnering with cross-functional teams to initiate and drive discovery efforts focused on immune disorders, ensuring adherence to all relevant laws, regulations, and company policies related to the development and delivery of medicines.

Initiating cell therapy research,guided by curiosity, hypothesis, and data,to assess and validate novel targets, strategies, and approaches, enabling robust decision-making.

Essential skills and experience include: Advanced degree in Immunology, virology, innate and adaptive immune response, molecular or cell biology, bioengineering, or a related field; demonstrated proficiency in T- and B-cell culture and functional assays; multicolor flow cytometry (analysis and sorting); bioinformatics; in vivo disease models; and CRISPR and other genome-editing technologies.

Desirable experience includes a track record of peer-reviewed publications in prestigious immunological journals and/or patents.

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Responsibilities:

• Design and develop scalable and efficient backend solutions for our digital platforms.
• Write clean, readable, and reusable code.
• Perform unit testing and debugging to ensure high quality and reliability.
• Participate in technical discussions and contribute ideas to improve the product's performance and functionality.
• Collaborate with frontend developers and other team members to ensure a smooth user experience.

Qualifications:

• Experience in backend development with a focus on web applications.
• Good knowledge of programming languages such as Python, Java, or similar.
• Experience working with frameworks such as Django, Flask, Spring, or similar.
• Familiarity with database management systems such as MySQL, PostgreSQL, or similar.
• Knowledge of API design and implementation.
• Strong problem-solving skills and ability to work independently as well as in a team.

Benefits:

• Attractive salary based on experience and competence.
• Opportunity to work with exciting projects and the latest technology.
• Flexible working hours and possibility of remote work.
• Continuous professional development and opportunities for career growth.

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This internship provides a great opportunity to gain hands-on experience into Data Analytics. You will work alongside a team of highly skilled and dedicated professionals who are committed to offering strong mentorship and guidance to help you start your career in the field of data.

Duration: 6 months. Location: Munich, 2-3 office days per week.

Our Tech Stack

• Database: AWS Stack (Redshift, Athena, Glue, S3).
• Data Pipelines: Airflow, DBT.
• Data Visualization: Looker.
• Data Analytics: SQL, Python.
• Collaboration: Git, Atlassian.

Your role in this journey

As a Data Analytics Intern at Holidu, you’ll help our company make smarter, data-driven decisions, while being supported by a Senior Analyst.

This role goes beyond building dashboards. We want curious, proactive people who want to become data advisors - not only delivering reports, but understanding the business context, which questions they answer and why they matter.

• Collect, analyse, and interpret large datasets to help solve real business challenges.
• Build dashboards and reports using tools like SQL, Python, and Looker.
• Collaborate closely with teams such as Product, Marketing, or Finance to help them extract actionable insights from data.
• Build and improve data pipelines using cutting-edge technologies.
• We are an AI-first team. Rather than manually executing repetitive tasks, you will use AI to work smarter and automate workflows.
• You’ll collaborate with our Data Scientists and get exposure to:
• Data preparation and exploratory data analysis.
• How ML-models are built, evaluated, and deployed in real-life.

Your backpack is filled with

• Currently enrolled in or recently completed a Bachelor’s or Master’s degree in a quantitative field (e.g., Business Analytics, Data Science, Economics, Statistics, Mathematics, Engineering or similar).
• Understanding of SQL and Python, proficiency in Excel/Google Sheets and a desire to learn visualization tools like Looker.
• Knowledge of Machine Learning and Statistical models is a plus.
• Strong analytical and problem-solving skills, and attention to detail.
• Curiosity to learn and a passion for solving data problems.
• Good communication and presentation skills.

Our adventure includes

• Compensation: Get a fair salary.
• Impact: Make a difference for hundreds of thousands of monthly users.
• Growth: Take responsibility from day one and develop through regular feedback.
• Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
• Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
• Fitness: Get a Urban Sports Club corporate subscription or a premium gym membership at a discounted rate.

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This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

Principal Responsibilities:

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
• Work with portfolio managers and other internal customers to reduce operational risk through:
• Implementation of monitoring, reporting, and trade workflow solutions.
• Implementation of automated systems and processes focused on trading and operations.
• Streamlining development and deployment processes.
• Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.

Technical Qualification:

• 5+ years of development experience in Python.
• Experience working in a Linux / Unix environment.
• Experience working with PostgreSQL or other relational databases.
• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience:

• Understanding of NLP, supervised/non-supervised learning and Generative AI models.
• Experience operating and monitoring low-latency trading environments.
• Familiarity with quantitative finance and electronic trading concepts.
• Familiarity with financial data.
• Broad understanding of equities, futures, FX, or other financial instruments.
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.
• Experience with Apache / Confluent Kafka.
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
• Experience with containerization and orchestration technologies.
• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
• Contributions to open-source projects.

The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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We use AI-assisted development tools (e.g., Claude Code), cloud-native/serverless architectures on AWS, and modern full-stack technologies (C#, Angular, SQL), with a strong focus on Domain-Driven Design (DDD) and automated testing.

The role is suited to engineers who have delivered real-time, mission-critical systems in high trade volume, distributed and fault-tolerant environments.

Responsibilities

• Design and build scalable, real-time Regulatory/Compliance applications using C#/.NET, Angular, and SQL, leveraging AI-assisted tools to accelerate development and improve quality.
• Model business domains using DDD (bounded contexts, aggregates, entities, value objects, domain services, domain events) with a strong focus on business correctness and ubiquitous language.
• Architect and implement cloud-native/serverless solutions on AWS, including:
• Event-driven services using AWS Lambda and messaging/streaming (Kafka, SQS, SNS).
• Containerized microservices using Docker and Kubernetes (e.g., Amazon EKS).
• Build and maintain Angular front-ends that integrate securely and efficiently with backend APIs and domain services.
• Design and optimize relational data models and SQL queries (SQL Server, Snowflake) for high-volume, low-latency workloads.
• Drive a test-first mindset with strong automated test coverage (unit, integration, contract, and end-to-end) for critical domain workflows and controls.
• Collaborate with global business and Compliance stakeholders to understand requirements, shape domain models, and deliver auditable, production-ready solutions.

Requirements

• Core Engineering & Full-Stack Skills

+ Practical experience with AI-assisted tools (e.g., Claude Code, GitHub Copilot) for code generation/refactoring, test creation, debugging, and documentation + Expert-level C#/.NET and strong object-oriented design skills + Solid experience building Angular applications (components, state, routing, API integration) + Advanced SQL skills for schema design and complex queries (SQL Server, Snowflake) + Experience with high-throughput, concurrent/multithreaded systems + Kafka or similar messaging experience, including using JSON and Avro for data contracts in streaming and messaging + Strong understanding of unit testing, Dependency Injection, design patterns, concurrency, and SOLID principles + Experience with Git and GitHub in a collaborative, code-review-driven workflow

• Soft Skills & Domain Knowledge

+ Excellent analytical and problem-solving abilities. + Self-starter who thrives in a fast-paced, globally distributed environment. + Strong written and verbal communication skills with the ability to explain domain models, testing strategies, and architectural decisions to varied audiences.

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The Specialist, Global Clinical Solutions (IRT Lead) provides global centralized services across drug projects and related activities, helping clinical development programs meet time, cost, and quality expectations across all delivery models.

Key Responsibilities

• Deliver GCS services that support clinical development activities across multiple projects and stakeholders.
• Set up and maintain systems, tools, and data associated with projects, services, and technology in partnership with Study Teams and external partners, ensuring appropriate standards, completeness, quality, and consistency.
• Support life cycle management and business continuity for operational processes, procedures, systems, tools, standards, procedural documentation, and training materials.
• Provide support to user communities by conducting relevant process, system, and tool trainings, facilitating knowledge sharing, establishing best practice, and maintaining effective communication with stakeholders across GCS and AstraZeneca.
• Perform analyses of processes and tools to define business usage and identify opportunities to improve efficiency and effectiveness of systems, methods, and processes; support the development of User Requirement Specifications and User Acceptance Tests.
• Contribute to business cases for continuous improvement projects that enhance how we deliver clinical studies.
• Prioritize workload effectively to achieve personal and work unit targets in a dynamic environment.
• Participate in change initiatives that evolve our ways of working and enable better outcomes for patients.

Essential Skills and Experience

• Bachelor's degree with 0+ years of work experience in the pharmaceutical industry or in clinical study delivery/clinical development processes.
• Proven organizational and analytical skills, as well as proven ability to multitask.
• Strong time management skills and task-oriented performance.
• Previous administrative training/experience.
• Computer proficiency.
• Excellent knowledge of spoken and written English.
• Strong communication skills.

Desirable Skills and Experience

• A good understanding of the clinical study process.
• Programming experience or programming aptitude.
• Knowledge of pharmaceutical drug development and clinical study processes and associated government regulations, ICH GCP.
• Shown willingness and ability to train others on study support processes and procedures.
• Demonstrate the ability to proactively identify risks and issues as well as possible solutions.
• GxP trained.

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As a Medical Director, Early Clinical Development, Oncology, you will have a clinical background and be driven by science and the desire to develop novel therapies for cancer patients. You will possess a proficiency in the drug development process, particularly early phase clinical trials, protocol writing and study conduct, data review and reconciliation, and what it takes to lead teams successfully.

This position offers the opportunity for growth and development while working in a vibrant environment. AstraZeneca is in a period of tremendous growth and acceleration in the oncology portfolio. This is a fast-paced and dynamic work environment where, with growing levels of responsibility.

Typical responsibilities may include:

• Providing long-range clinical planning in early clinical trial development, planning and managing of clinical research projects and clinical development programs in oncology.
• Serving as the Project Medical Monitor while working in a cross functional environment with representatives from other involved line functions as well as Late-Stage Development.
• Contributing to and supporting Department/Clinical initiatives to improve the quality and content of all clinical programs as well as the cross functional/organization processes designed to effectively deliver our R&D portfolio.
• Establishing and approving scientific methods for design and implementation of applicable clinical protocols, data collection systems, and final reports;
• Playing a role in designing clinical development plans and overall strategy for compounds, therapeutic classes of compounds or indications in light of developments in the area of clinical and pharmaceutical oncology;
• Participating in identification, selection and conduct of negotiations with clinical research centers and investigators;
• Participating in the selection and management activities of CROs;
• Supervising project team members in planning, conducting and evaluating clinical trials;
• Leading all aspects of planning and management of investigator meetings, advisory boards and other scientific committees.

Essential Requirements:

• M.D degree or equivalent.
• Strong preference for individuals with clinical training in oncology or hemato-oncology.
• At least 3 years of experience in clinical research and/or oncology drug development in pharmaceutical, academic or CRO environment.

Preferred Requirements:

• PhD in a relevant research area is preferred.
• Significant experience in the pharmaceutical/life sciences industry in a function aligned to clinical development and early or late stage clinical trials.
• Medical specialty and sub-specialty training and Board Certification.
• Excellent oral and written skills, strong interpersonal and listening skills with a focus on results and sound outcomes.
• Proven leadership skills and demonstrated ability to interact collaboratively in a cross-functional environment.
• High level of emotional intelligence; able to deal with ambiguity.
• Able to relate to varied level audiences across the organization; able to set priorities for team and maintain accountability; skillful in negotiating organizational boundaries and hierarchy; able to build effective teams.
• Experience in molecular oncology and/or translational science.

The annual base pay for this position ranges from $249,827 to $374,740.

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SPEED delivers the live trading and market-data platforms used by portfolio managers and risk systems, including Latency Critical Trading (LCT), DMA OMS (Client Direct), DMA market data feeds, packet capture (PCAPs), enterprise market data, and intraday data services across latency tiers from sub-100 nanoseconds to millisecond-sensitive workflows.

As a Senior Developer Infrastructure Engineer on SPEED, you will own and evolve the build and CI/CD infrastructure that underpins these mission-critical systems.

By designing scalable build pipelines, shared tooling, and reliable release workflows, you will directly enhance developer productivity and enable fast, safe iteration on some of the firm's most performance-sensitive code.

This role offers the opportunity to shape core engineering practices while contributing to platforms that are central to Millennium's trading edge.

Principal Responsibilities

• Design, build, and maintain a highly scalable, parallel, and cached build system for a large, performance-sensitive codebase.

• Own and continually optimise CI/CD pipelines to minimise build/test times, reduce flakiness, and improve developer productivity.

• Operate with an AI-first mindset across the SDLC, using automation by default to streamline build, test, and release workflows.

• Integrate and operationalise AI tools (e.g., copilots, workflow automation, AI-driven analytics) to eliminate manual toil, accelerate development, and codify reusable AI-enabled patterns for the broader engineering organisation.

• Design and operate containerised environments (e.g., Docker, Kubernetes) to maximise utilisation, reliability, and scalability across environments.

• Implement and manage artifact storage, dependency management, and versioning strategies for large, distributed systems.

• Develop and maintain shared libraries, CLIs, scripts, and internal platforms that reduce friction and enable self-service for engineers.

• Build and enhance test suites and environment provisioning, leveraging AI and automation where appropriate for smarter checks, triage, and observability.

• Monitor, instrument, and improve the reliability, observability, and performance of build and CI/CD systems using metrics, dashboards, and alerting.

• Partner with trading and engineering teams to understand requirements, remove friction, and champion best practices for building, testing, and releasing software.

Qualifications/Skills Required

• 5+ years of software engineering or DevInfra/Platform/DevOps experience, with significant focus on building systems and CI/CD.

• Strong programming skills in one or more languages (e.g., Python, Rust, Go, C++) for automation and tooling.

• Hands-on experience with at least one modern build system (e.g., Bazel, Buck2).

• Solid understanding of source control (Git), branching strategies, and release management.

• Experience with monorepos is a plus.

• Experience scaling build and test infrastructure for growing codebases and teams (parallelization, test sharding, remote execution, caching).

• Experience designing or participating in processes, systems, or playbooks that leverage AI to streamline work rather than needing to add more headcount to the team.

• Familiarity with containers and cloud infrastructure (Docker, Kubernetes, and major cloud providers such as AWS/GCP/Azure).

• Strong communication and collaboration skills; comfortable partnering with multiple teams and driving cross-cutting initiatives.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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Your primary focus will be on designing, executing, and optimizing upstream Lentiviral Vector (LVV) processes with a primary focus on suspension bioreactor platforms at clinical and commercial scales. You will contribute hands-on to experimental design, process characterization, and scale-up/tech transfer activities from research through IND enabling, partnering closely with Research, Analytical Development, CMC, Regulatory, Manufacturing, Quality, and external CDMOs.

Key Responsibilities:

• Plan and perform experiments to develop and optimize LVV upstream processes for suspension cell culture (transient or stable producer cell systems), targeting improvements in titer, quality, robustness, and cost.

• Execute unit operations across seed, production, and harvest interfaces; support scale-up strategies from bench to pilot and clinical scales; develop and use scale-down models for characterization and comparability.

• Design DOE studies, identify CPPs/CMAs, analyze data, and propose control strategies; document results in protocols and reports; maintain fit for-purpose knowledge records.

• Contribute to definition of design space, in-process controls, and operating ranges; trend process performance and drive troubleshooting, root cause analysis, and corrective actions.

• Prepare technical transfer packages and support transfers to internal GMP sites and CDMOs; align process documentation with cGMP principles for late-stage readiness.

• Work closely with Analytical Development on assay readiness and in process testing; partner with Manufacturing, Supply, and Quality to ensure operational feasibility and compliance.

• Apply Lean practices and digital tools for scheduling, data integrity, and reproducibility; track KPIs (titer, infectivity, impurity profiles, cycle time, right first time) and recommend improvements.

Qualifications:

• Education: Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, or related field with 1+ years of industry experience; OR M.S. with 4+ years; OR B.S. with 5+ years of hands-on industry experience.

• Experience: Hand-on experience developing suspension-based LVV upstream processes; familiarity with clinical/commercial scale considerations, process characterization, and technology transfer.

• Technical Skills: Proficiency in suspension cell culture, transfection/infection strategies, media/feed optimization, single-use rocking-platform and stirred-tank bioreactors, and upstream-harvest interfaces; working knowledge of statistical DOE and data analytics tools.

• GMP Readiness: Experience supporting cGMP interfaces (documentation, change control, sampling plans) and contributing to CMC sections or technical responses is a plus.

• Communication & Teamwork: Strong written and verbal communication skills; ability to work effectively in cross-functional, matrixed teams; demonstrated problemsolving and troubleshooting capability.

• Tools & Automation: Experience with single-use systems, process automation/PAT, and digital lab systems (ELN/LIMS) preferred.

Preferred Qualifications:

• Demonstrated success scaling suspension LVV processes to pilot/clinical scales and sustaining performance via monitoring and continuous improvement.

• Experience linking upstream parameters to analytical outcomes (titer, infectivity/potency, residuals/impurities) to guide process decisions.

• Contributions to regulatory filings (data tables, process descriptions) and participation in tech transfer to CDMOs or internal GMP sites.

• Experience implementing Lean/continuous improvement and robust documentation/knowledge management in PD labs.

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Key responsibilities include:

• Developing and maintaining quality engineering methods to meet customer, internal, and regulatory requirements
• Evaluating existing quality systems and manufacturing processes and implementing projects to improve productivity and efficiency
• Providing QA project support for site New Product Development engineering introductions
• Creating quality plans and conducting FMEA
• Using Six Sigma, A3, and 7 QC tools and/or methods to facilitate investigations of failures identified by customer complaints, internal non-conformances, and manufacturing yield issues in batch production
• Leading and/or supporting Corrective and Preventative Actions, including identifying and eliminating root causes using A3, PDCA, and/or 8D methodologies and ensuring closure of action items in a 24-7 manufacturing environment
• Collaborating with cross-functional teams to drive continuous improvement initiatives and ensure alignment with quality objectives
• Creating data models and reports in Visual Basic, Excel Power Query, and/or PowerBI to analyze continuous manufacturing datasets, automate monitoring and reporting on quality metrics, and enable identification of trends and areas for improvement
• Identifying and mitigating quality risks during product development and manufacturing in accordance with ISO 9001 and/or ISO 13485 standards
• Implementing risk management processes to assess, control, and monitor quality risks during the product lifecycle

Additional requirements include up to 10% U.S. and/or international travel and a salary range of $128,000.00 to $145,000.00.

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The successful candidate will be expected to:

• Help design and contribute to the alpha research platform
• Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
• Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
• Mentor junior resources
• Regularly interact with quantitative researchers and other stakeholders, and prioritise and implement features

The ideal candidate will have:

• 5+ years of Python experience in a quantitative finance setting
• Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
• Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
• Prior experience building alpha research or machine learning pipelines
• Highly analytical with strong problem-solving skills and attention to detail
• Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
• Ability to tune and debug runtime performance of data applications
• Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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In this role, you will play a pivotal part in building and enhancing Equity Volatility Risk and P&L system that supports our Equity Volatility Managers.

This is an exciting opportunity to work in a fast-paced hedge fund environment, where your contributions will directly impact trading performance and risk management capabilities.

The ideal candidate will bring a combination of technical expertise and business domain knowledge for developing robust, scalable systems.

Principal Responsibilities:

• Design, develop, and implement a robust risk system for Equity Volatility trading strategies.
• Build and maintain scalable, high-performance server-side application using Java and Spring Boot frameworks.
• Build and integrate exotic pricing models to handle pricing and lifecycle of the product.
• Provide level-3 support, troubleshooting, and performance tuning for production systems.
• Proactively address system bottlenecks and implement solutions to ensure the platform remains robust.
• Conduct code reviews and implement automated testing to ensure the reliability and quality of the system.
• Write clean, maintainable, and testable code, adhering to best practices in software engineering.

Qualifications/Skills Required:

• Proficiency in Java development with experience in building scalable, high-performance systems.
• Strong knowledge of Spring Boot and its ecosystem for developing microservices.
• Experience with Python for scripting and automation.
• Experience in distributed caching technologies (e.g. Ignite, or similar).
• Familiarity with containerization technologies (e.g. Podman, Kubernetes) and cloud computing platforms (e.g. AWS).
• Solid understanding of software development best practices, including version control (e.g. Git), CI/CD pipelines, and automated testing frameworks.
• Previous experience working with Equity Derivatives in a sell-side or buy-side firm.
• Strong understanding of equity derivative products such as options and futures.
• Some understanding of structured products in terms of pricing, lifecycle, and risk characteristics.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, high-pressure environment.

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In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

The ideal candidate excels at adapting their communication style to suit different audiences, and is passionate about teaching and empowering others.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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Principal Responsibilities:

• Develop and maintain high-quality C++ code for our trade capture system
• Collaborate with cross-functional teams to identify and prioritize feature requirements
• Design and implement efficient algorithms and data structures to meet system performance goals
• Troubleshoot and resolve complex technical issues in a timely manner
• Participate in code reviews and contribute to the improvement of our codebase

Qualifications:

• Bachelor's degree in Computer Science or a related field
• 7+ years of experience in developing C++ server-side applications in Linux
• Strong understanding of network programming and Linux O/S internals
• Strong understanding of object-oriented programming and data structures
• Understanding of SQL and relational databases
• Knowledge in Equities, Futures, FX, Options, and various Fixed Income products is strongly preferred

Benefits:

• Competitive total compensation package including base salary, discretionary performance bonus, and comprehensive benefits
• Opportunity to work with a talented team of professionals in a dynamic and fast-paced environment
• Flexible working hours and remote work options

When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management.

Principal Responsibilities:

• Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle.
• Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems.
• Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices.
• Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity.
• Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment.
• Optimise platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning).
• Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation.
• Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes.
• Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualisation, and self-service administrative/user tools.
• Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions.
• Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs).
• Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability.

Qualifications / Skills Required:

• Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++.
• Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments.
• Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimisation.
• Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations).
• Able to prioritise and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through.
• Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production.
• Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions.
• Experience building solutions on cloud environments such as GCP and AWS.
• Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell).
• Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.).
• Experience supporting market data environments within a global organisation, including internally developed DMA feed handlers and distribution infrastructure.
• Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability.
• Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management.
• Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations.
• Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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As a Senior HFT Developer on SPEED, you will design and build core low-latency components for order entry, market data, exchange simulation, feature extraction, and strategy containers, initially focused on delivering the full set of capabilities required for trading and research infrastructure. You will collaborate closely with system architects and quantitative researchers, operate and optimise these systems in production, and have clear opportunities to grow into technical and team leadership as the effort scales.

Principal Responsibilities:

• Build low-latency infrastructure for order entry, market data, exchange simulators, feature extraction, strategy container, and other systems.
• Build convenience layer tools and services to facilitate trading teams onboarding at MLP.
• Provide level 2 support for the systems in production.
• Work closely with the SPEED architect, quantitative researchers, and the business to provide high ROI solutions that are aligned with both the business and the platform strategy.
• Opportunities for growth in terms of leadership as effort expands.
• Will liaise with many other MLP teams depending on project focus.

Qualifications/Skills Required:

• 5+ years with a well-regarded HFT group, delivering production-grade, low-latency systems.
• Demonstrated expertise in C++ and Python for production, low-latency systems.
• Deep familiarity with low-level Systems: OS tuning, networking stack, user-space drivers, and kernel-bypass patterns.
• Strong understanding of the HFT quantitative research pipeline.
• Experience with HPC grids (scheduling, storage, job management) for research and production workloads.
• Cloud experience (AWS, GCP) is a plus.
• Proven ability to navigate large organisations, create cross-team synergies, and influence outcomes.
• High accountability and ownership; able to self-manage time, set priorities, and meet deadlines.
• Potential to provide technical leadership and manage a small team.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. We pay a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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At Equity IT, we are modernizing the way the firm interacts with its order flow and trading tools. As a Technical Product Manager for our Next-Gen UI Platform, you will be the critical link between internal stakeholders (trading desks, risk managers, middle office, and other operational teams) and the UI engineering team.

Working closely with UI Engineering and its leadership, you will help build and evolve an extensible UI component library that serves as the set of building blocks for a cohesive user experience across all of Equity IT's internal UIs.

You will partner with business SMEs across the firm to translate UI and business requirements into clear, functional product requirements for engineers.

You will own and refine a central backlog of UI requests, perform gap analyses on the component library, and produce a product roadmap that balances quick wins with long-term strategic adoption.

In this role, you will support the delivery of new UIs and features end-to-end, acting as the primary liaison for product updates, timelines, and priorities with internal stakeholders.

You will also coordinate with backend and platform teams to ensure the right services and data are in place to support new UIs and use cases.

This role is pivotal in shaping Equity IT's next-gen UI strategy and improving the efficiency and consistency of users' day-to-day workflows across the firm.

Key Responsibilities:

• Develop a product strategy for the next-gen internal UI platform and component library used across trading and related functions.

• Maintain a product roadmap that balances near-term deliverables with long-term strategic goals and broad adoption.

• Own and manage the UI product backlog in close partnership with engineering, project management, and stakeholders.

• Work with the UI Engineering team to create and evolve an extensible, reusable UI component framework, optimizing for a familiar, consistent UX across disparate screens and business areas.

• Perform gap analyses to identify missing or underutilized components and drive their design, prioritization, and implementation.

• Develop and maintain strong, trust-based relationships with internal users so they are comfortable bringing pain points and ideas to you.

• Evangelize the UI platform and component library within the firm, ensuring stakeholders are aware of new capabilities and best practices.

• Translate business and workflow needs into clear, actionable product requirements with an emphasis on usability, performance, and workflow efficiency.

• Balance and negotiate competing priorities across stakeholders and work with teams across Trading Technology and other internal platforms to deliver new tools and features.

• Collaborate with product managers and UX/design partners supporting other areas to enable a unified UI strategy and seamless workflows across all internal tools

Skills Required:

• 8–10+ years of experience as a Product Manager or Technical Product Manager building complex internal or enterprise applications; experience with trading technology UIs is strongly preferred.

• Professional work experience with Figma in an enterprise level environment with respect to workflows and information layout, prototyping complex interactions, defining information hierarchy, standardizing components, and similar.

• Experience working in or closely with front-office or high-intensity operational environments (for example, trading, risk, analytics, operations, or analogous environments in other industries such as fintech, SaaS, or data-heavy platforms).

• Demonstrated experience defining and delivering UI platforms or component libraries/design systems in partnership with engineering (and ideally UX/design).

• Strong technical fluency and the ability to work closely with UI engineers and backend/platform teams on data, performance, and integration considerations

• Proven ability to translate complex business workflows into intuitive, cohesive user experiences and detailed product requirements.

• Entrepreneurial mindset; able to operate autonomously, drive structure in ambiguous environments, and influence without direct authority.

• Comfortable navigating ambiguity and thriving in a lean, fast-paced environment with many stakeholders and competing priorities.

Meaningful Differentiators:

• Experience with latest CSS styling libraries/capabilities

• Typescript/React

• HTML5 technologies

Salary Range: $175,000 to $250,000

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The successful candidate will play a key role in evolving our data platform, services, and tools to meet new customer requirements. The platform is built on a modern tech stack, including Java, Kafka, and AWS (EKS), Angular, offering scalable and streaming capabilities.

Key Responsibilities:

• Develop and maintain full-stack solution using Java (Spring Framework, GraphQL, Rest API, Kafka) and Angular.
• Ensure proper ingestion, curation, storage, and management of data to meet business needs.
• Write and execute unit, performance, and integration tests.
• Collaborate with cross-functional teams to solve complex data challenges.
• Closely work with users to gather the requirements and convert them into an actionable plan.

Qualifications:

• Minimum of 5-7 years' of professional Java development experience, focusing on API-and Kafka based architectures.
• Minimum 4-5 years of strong Angular development skills with backend integration expertise.
• Hands-on experience with automated testing (unit, performance, integration).
• 5+ years of database development experience (any RDBMS)
• Analytical and problem-solving skills with the ability to work independently in a fast-paced environment.
• Excellent communication skills to effectively collaborate with users and other teams across different regions.
• Self-motivated and capable of working under pressure.
• Experience working in Financial Services or a Front Office Environment is highly preferred.
• Experience working in Reference Data domain a plus
• Familiarity with AI developer tools

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Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

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Key Responsibilities:

Datacentre & Tech Room Operation

• Own the physical operation of the datacentres (power, cooling, space, cabling, security) and office technology rooms.
• Perform racking/stacking, structured cabling (copper/fibre), labelling, patching, and cable hygiene.
• Manage hardware lifecycle: installation, upgrades, moves/adds/changes, and decommissioning of servers, storage, and network gear.
• Coordinate and perform hardware replacements including RMAs with local and international vendors.
• Conduct regular inspections and capacity checks (power, cooling, space, ports) and proactively flag risks.

Infrastructure Monitoring, Incident & Change Management

• Monitor infrastructure and environmental alerts, respond to incidents, and perform first-line troubleshooting.
• Work within established ITIL/ITSM processes for incident, request, and change management (ServiceNow and Jira).
• Participate in maintenance windows and on-call/extended-hours work as needed for a 24x7 environment.
• Maintain accurate records (rack elevations, patch maps, serials, locations) in CMDB/asset inventory (ServiceNow and Nlyte).

Network Operations Support (CCNA-Level)

• Support deployment and basic configuration of network devices (switches, routers, firewalls, load balancers) under direction of Network Engineering.
• Perform physical connectivity tasks: patching, validating links, assigning and validating VLANs, and basic Layer 2/3 troubleshooting.
• Assist with basic configuration changes (e.g., access ports, trunks, simple routing changes) following strict change control.

Tooling, Automation & Integration

• Use and help enhance DCIM, monitoring, logging, and ITSM ecosystem for visibility and control of the datacentre estate.
• Contribute to the development of light automation to reduce manual tasks (inventory updates, checks, reporting).
• Contribute to the integration of the datacentre-related dataset with central platforms (CMDB, monitoring, capacity tools) via APIs and CLI tools.
• Contribute to and improve runbooks, SOPs, and documentation to standardize and automate recurring activities.

Risk, Compliance & Best Practice

• Adhere to security, compliance, and governance in accordance with the regulatory requirements for structured cabling and infrastructure.
• Follow strict access control, audit, and change procedures in line with local building management and colocation facility requirements applicable to datacentre facilities.
• Ensure all activities are performed with safety, resilience, and high availability in mind to support Millennium operations.

Essential Qualifications & Experience

• 5+ years in a datacentre or large-scale infrastructure environment (financial services or other mission-critical environments a plus).
• Proven experience managing racks, cabling, hardware installation, and decommissioning in multi-cabinet environments.
• Experience supporting office technology rooms / comms rooms (IDF/MDF) in addition to core datacentres.
• Prior experience working within carrier-neutral datacentre environments is highly desirable.

Datacentre & Hardware Skills

• Strong hands-on skills in racking/stacking, structured cabling (copper and fibre), and patch management.
• Understanding of datacentre power and cooling (PDUs, UPS, dual feeds, capacity management, hot/cold aisle concepts).
• Experience with remote management technologies (IPMI, iDRAC, iLO, console servers, OOB management).

Networking Skills (CCNA-Level)

• Solid understanding of TCP/IP, VLANs, trunking, basic routing, subnetting, and access control concepts.
• Ability to perform basic configuration and CLI-based troubleshooting on enterprise switches and routers.
• CCNA certification (or equivalent knowledge/experience) strongly preferred.

Tooling, Automation & Integration

• Comfortable working with ITSM and CMDB tools (e.g., ServiceNow, Jira Service Management) for tickets and asset management.
• Basic scripting ability (Python, PowerShell, or Bash) for task automation and data manipulation.

Desired Skills & Attributes

• Experience with DCIM tools and visual rack/patch management (e.g., Nlyte, NetBox or similar).
• Strong documentation skills (rack diagrams, patching schematics, runbooks, standard operating procedures).
• High attention to detail, strong sense of ownership, and ability to work independently.
• Clear and concise communication skills; able to coordinate with local facility management, vendors, and global teams across time zones.
• Ability to liaise with local vendors, building management, and colocation facility staff.

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As a Senior Data Scientist, you will work on various topics such as rankings, recommendations, user segmentation, user lifetime value, business forecasts, etc. You will have access to our huge dataset and work in collaboration with stakeholders from various departments.

Your objective is to build the best internal and external products for our customers. Holidu highly values a diverse and open environment with people from all over the world.

This role is based in Munich with a hybrid setup.

Our Tech Stack

• Flexible data science environment (Python, Sagemaker)
• Database: AWS Stack (Redshift, Athena, Glue, S3).
• Data Pipelines: Airflow, DBT.
• Data Visualization: Looker.
• Data Analytics: SQL, Python.
• Collaboration: Git.

Your role in this journey

You will play a pivotal role in the Business Intelligence team alongside data scientists, analysts, and engineers. Together, you will lead the development and enhancement of our company-wide machine learning strategy.

• Collaborate across various business departments to identify opportunities and solve critical business challenges using data science solutions.
• Build and optimize predictive models such as booking cancellation forecasts, churn predictions, pricing optimization, revenue forecasting and marketing channel allocation.
• Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.
• Interface with diverse business stakeholders, ensuring alignment between data science initiatives and company goals.
• Demonstrate leadership in data science projects, leveraging your expertise to drive measurable business impact.

Your backpack is filled with

• 3+ years of experience as a Data Scientist, with a proven track record of applying data science methodologies to solve complex business problems.
• A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.
• Expertise in statistics, predictive analytics, machine learning techniques, and proficiency in tools like Python and SQL.
• Experience with Airflow and dbt is a plus.
• Strong understanding of business operations and experience collaborating with diverse stakeholders.
• Enthusiasm for data science and a drive to deliver world-class products that make a difference.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.

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About AstraZeneca

At AstraZeneca, we're not afraid to do things differently. We're building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening up innovative ways of working, pioneering groundbreaking methods, and bringing cross-functional teams together.

Early Oncology is focused on attacking cancer from multiple angles through innovative modalities, realizing the potential of combinations, and building treatment regimens with depth, durability, and precision. This senior leadership position – within the Oncology Targeted Discovery Department – will be accountable for the generation of bioscience data packages to support candidate drug selection and clinical positioning of assets, including prioritization of cross-portfolio combinations.

We are seeking a dynamic and experienced leader to lead the drug discovery efforts in small molecule portfolios in Oncology R&D. In this role, you will report to VP, Small Molecule Bioscience and lead a bioscience department based in Kendall Square.

Key accountabilities include:

• Providing strategic leadership and direction for the Bioscience function and partnering with the Oncology Targeted Discovery senior leadership team in the vision and execution of the small molecule bioscience strategy.

• Evolving the capabilities and fostering a collaborative and high-performing culture, ensuring resources are used appropriately to satisfy current and anticipated needs of the organization, and that the function drives performance and delivers business value.

• Driving portfolio prioritization, staying abreast of the latest external developments and innovations, and being able to identify future strategic opportunities.

• Collaborating cross-functionally with colleagues across the discovery, translational, and clinical organizations.

Education, Qualifications, Skills, and Experience

• PhD in Biological science discipline

• Minimum of 10 years' experience in biotechnology or pharmaceutical industry with deep drug discovery experience and ability to manage cross-functional stakeholders

• Proven track record of delivering portfolio success in both pre-clinical and clinical phase

• Experience of driving innovation and delivering strategic/operational change across the business

• Oversight of in vivo pharmacology with awareness of local regulations

• Proven leadership experience promoting, motivating, and empowering others to accomplish individual, team, and organizational objectives

• Effective interpersonal and relationship management skills with consultative approach and ability to interact and build trust

• Strong leadership and communication skills – ability to convey scientifically complex data and concepts in a simple, straightforward manner

• Ability to influence strategically and persuade tactfully, to obtain desired outcomes while maintaining effective, positive organizational relationships

• Expert reputation within the business and externally across the industry

Why AstraZeneca?

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.

Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, groundbreaking pioneering methods, and bringing unexpected teams together.

Interested? Come and join our journey!

So, what's next? If you are passionate about the possibilities, don't hesitate in submitting an application today!

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In this role, you will work collaboratively with brokers, exchanges, ECNs, and third-party platforms across all asset classes and regions. You will be responsible for troubleshooting production issues in a Level 3 support environment and have excellent written and verbal communication skills.

To be successful in this role, you will need strong experience in financial markets technology, including Java development, FIX protocol, and Linux development. You will also need a strong understanding of object-oriented programming, networking protocols, and market structure across equities, futures, options, and FX.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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Key Responsibilities

scorerate scalable and efficient solutions using iOS SDK and Xcode. Develop applications using Swift or Objective-C. Implement intuitive and engaging UI/UX designs. Debug and troubleshoot to resolve any application issues. Optimize code for performance and scalability. Collaborate with cross-functional teams to achieve project goals.

Required Skills and Experience

Proficiency with iOS SDK and Xcode. Experience in Swift or Objective-C programming. Solid understanding of UI/UX design principles. Strong troubleshooting and debugging skills. Experience with code optimization techniques.

Benefits

Competitive salary and substantial benefits package. Opportunities to work on cutting-edge technologies and projects. Flexible work hours, with options for remote work. Continuous professional development and career growth opportunities.

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Introduction to role

Cybersecurity sits at the heart of our IT strategy. As we move towards ambitious objectives, we are looking for individuals who focus on innovation to maintain a sustainable risk position against an evolving threat landscape, who recognise that adversaries may include organised crime syndicates or state-sponsored attackers, and who understand attackers' motivations and ways of working.

In this role, you will operate within AstraZeneca's global cybersecurity organisation, collaborating with and influencing multiple functions across China, India, Mexico, Sweden, the US and the UK. Ready to help defend a global enterprise where technology directly supports life-changing medicines?

Accountabilities

In this role, you will engineer cybersecurity solutions across cloud, on-premises and third-party collaboration environments, with a predominant focus on cloud and data. You will collaborate with other teams to perform, assess and evolve IT processes that intersect our cybersecurity priorities, ensuring security is embedded into how work gets done. You will map governance and compliance frameworks and their controls to technical implementation, shifting hardening processes as far left as possible in the lifecycle. You will leverage deep understanding of threats, weaknesses and vulnerabilities around cloud and data to help other areas respond promptly and effectively to contain breaches or address areas of concern. You will also contribute to continuous improvement by analysing incidents, refining standards and influencing architectural decisions that balance risk, performance and usability.

How will you use your expertise to raise the bar?

Essential Skills/Experience

• Minimum 10 years of experience
• Bachelor's Degree
• Must have broad enterprise IT experience with significant cloud and data exposure.
• Must have in-depth understanding of security and networking protocols, cryptography, and modern authentication and authorization protocols.
• Must have experience designing, deploying, and operating secure networks, systems, application and security architectures at scale.
• Must have experience configuring and managing cloud security services in an AWS, Azure and GCP at organisation at scale.
• Must have experience researching, designing, and implementing security policies, standards, and procedures, including those in cybersecurity frameworks such as MITRE ATT&CK, NIST CSF, NIST SP.800- 53, and NIST SP.800-61, as well as implementing cloud security reference architectures.
• Should have experience working in a software development and systems administration organisation, implementing DevSecOps and process automation.
• Should have the ability to conduct post-mortem on security incidents and take post-mortem data to drive uplift in policies, procedures, standards.
• Familiarity with CSPM, CNAPP, and Cloud EDR platforms
• Expertise with Microsoft Defender, Sentinel and Splunk

Desirable Skills/Experience

• Identify and articulate architectural trade-offs.
• Embed process, governance and security into workflow and technology.
• Design and implement software tools and services using modern programming languages.
• Manage and lead projects delivering prioritised initiatives at challenging deadlines.
• Exert positive influence in a matrixed organisation to drive technology evolution.
• Drive efforts to achieve process and technology improvement at scale.

The annual base pay for this position ranges from 136,044.00 - 204,066.00 USD Annual (80% - 120%). Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualised factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive programme (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).

Benefits offered included a qualified retirement programme [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an 'at-will position' and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca offers an environment where cybersecurity work has real-world impact on patients' lives, not just systems and data. Here, technology experts collaborate with scientists and business teams to unlock the potential of data, analytics, AI and machine learning, constantly experimenting with new approaches while keeping critical platforms secure. There is strong investment in digital capabilities, room to explore modern tools through initiatives like hackathons, and a culture that values curiosity, coaching and continuous learning so that every day brings opportunities to grow skills and shape both personal development and the future of healthcare technology.

If this role matches your skills and ambitions, apply now and help protect the digital foundations that enable life-changing medicines!

Date Posted 17-Apr-2026 Closing Date 03-May-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

• Refine and iterate training content based on feedback to ensure continuous improvement and relevance.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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The ideal candidate should have a proven track record in developing and maintaining Java-based front-end applications in the finance sector. Exceptional team collaboration skills and the ability to work effectively with colleagues across global time zones are crucial.

Millennium strongly prioritizes our synergistic culture, which revolves around teamwork and low egos. You should possess the ability to work in a fast-paced environment both collaboratively and individually while managing multiple projects simultaneously.

The successful individual will have a strong sense of urgency, emotional intelligence, and prioritize a high-caliber end-user experience.

Qualifications:

• Bachelor’s degree in computer science or comparable
• 7+ years of professional experience with Core Java and Java Swing, electronic trading systems and/or trader workstations environment strongly preferred.
• 5+ years of experience working with HTML, JavaScript, CSS, and JQuery
• Deep understanding of multithreading and distributed systems within a high performance, latency-sensitive environment
• Strong knowledge of unit testing frameworks and continuous test-driven development practices
• Enterprise level experience with design patterns such as MVC, MV, MVP
• Enterprise level experience with RESTful web services
• Previous experience liaising with non-technology stakeholders, polished and proactive communication skills

Beneficial/Ideal Technology Experience:

• EXT-JS, AngularJS, AJAX, JSON experience is very beneficial
• Knowledge of equities, futures, options and other asset classes is preferred
• Enterprise level experience with OMS architecture and design is preferred
• Experience with messaging middleware, Solace preferred
• Experience with relational and NoSQL databases. MongoDB preferred
• Experience working with financial data, including reference data, market data, order/execution and positions data.
• Experience working with Cloud: AWS (preferred), GCP or Azure

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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Responsibilities:

• Collaborate with cross-functional teams to develop and implement real-time algorithmic trading systems and execution platforms.
• Design, build, and maintain high-quality software to meet product performance and quality expectations.
• Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments, and academic research.
• Troubleshoot and resolve complex issues with our critical trading infrastructure.

Requirements:

• Strong server-side Java knowledge, including Spring Boot framework.
• Experience with financial order/execution data, positions data, and market data.
• Knowledge of equities, options, SOR, VWAP, algorithmic trading platforms, or market microstructure.
• High focus on testability of programs (TDD/XP-based development preferred).
• Experience with proprietary Java frameworks and design patterns.
• Good DevOps understanding to drive testing automation.

Preferred Qualifications:

• 5+ years of development experience in Algos or order management systems.
• Good understanding of Asia equities markets, including auctions, microstructure, and regulatory constraints.
• Experience with inventory optimization in developing markets in Asia (non-give up) highly desirable.
• Good team player with excellent written and oral communication skills.
• Quick thinker and problem solver, able to think on their feet and make informed decisions.

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Communicating Between Technical and Non-Technical Colleagues

As a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.

Data Analysis and Synthesis

You will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.

Data Development Process

You will design, build and test data products that are complex or large scale, build teams to complete data integration services.

Data Innovation

You will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.

Data Integration Design

You will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.

Data Modeling

You will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.

Metadata Management

You will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.

Problem Resolution

You will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.

Programming and Build

You will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.

Technical Understanding

You will understand the core technical concepts related to the role, and apply them with guidance.

Testing

You will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.

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Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.

Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

As a Senior Clinical Data Manager II, you will be responsible for coordination of the Clinical Data Management (CDM) deliverables on assigned clinical studies and may be an expert on CDM processes, standards, and technology.

You will coordinate the Clinical Data Management deliverables on assigned studies depending on the relevant model and DM Vendor. Takes accountability and serves as the first line of contact at the study level.

Demonstrates leadership and operational knowledge in the planning and delivery of CDM deliverables at a study level potentially under mentorship from a Project Data Manager.

Communicates and collaborates effectively with all study team members. Primary point of contact for DM vendor and provides guidance and supervision to Lead Data Manager/DM Team Lead working on the study (CRO or in-house).

Oversight of day-to-day operational aspects of CDM for assigned studies; Responsible to identify risks and collaborate with the DM Vendor to mitigate the risk. Escalates issues/risks when necessary.

Understands corporate, therapeutic/indication or program specific data capture AZ standards.

Provide input into CDM related activities associated with regulatory inspections/audits for assigned studies.

Responsible for compliance to Trial Master File requirements relating to DM Vendor - Support Senior Leaders to oversee CDM Vendor performance, depending on relevant model. Review, assess and manage DM Vendor delivery against KPIs, budget and overall performance.

Oversees vendor timelines and milestone deliverables for the assigned studies. Ensures DM Vendor billing is accurate and gives recommendations for payment of invoices.

Drive adherence to AZ CDM standards and processes for data quality and consistency of data capturing for assigned studies.

Demonstrates willingness to take on ad-hoc activities consistent with current CDM work experience.

Ensures relevant training is completed prior to performing tasks.

Mentoring junior Clinical Data Management colleagues - Performs CDM related ad-hoc requests from Line Manager.

Essential Skills/Experience:

Minimum of university or college degree in the life sciences or related subject, pharmacy, nursing or equivalent relevant degree

Minimum of 5 years of Clinical Data Management and experience in the Biotech/Pharma/CRO industry

Demonstrated current understanding of Good Clinical Data Management Practices (GCDMP) and relevant regulatory requirements

Demonstrated experience of clinical databases, different clinical data management systems and electronic data capture (EDC)

Demonstrate understanding and experience in query management process and reconciliation activities

Ability to work flexibly on simultaneous projects and proactively manage time to meet own deadlines.

Excellent written and verbal communication skills

Ability to work in a global team environment

Excellent organizational analytical skills and high attention to detail

Desirable Skills/Experience:

Demonstrated knowledge of clinical and pharmaceutical drug development process

Demonstrated understanding of clinical data system design / development / validation and system interoperability.

Demonstrated ability to work effectively with external partners

Understanding of database structures, programming languages, data standards (CDISC) and practices as they apply to CRF design, database development, data handling and reporting

Knowledge of SQL or SAS software

Experience leading clinical studies as Data Management Lead

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This integration will enable seamless collaboration between teams and provide reliable, scalable data for analytics and reporting. We are looking for a Cloud Platform Engineer to design, build, and operate our AWS-based infrastructure and data platforms, using modern DevOps practices, infrastructure as code, and secure, well-engineered services in Python and C#.

The successful candidate will collaborate with global technology and business teams to design cloud-native solutions that support business development and onboarding workflows. They will partner with global stakeholders to understand requirements and translate them into secure, scalable AWS architectures and platform capabilities.

Key responsibilities include leading the end-to-end delivery of cloud and platform features, including design, implementation (Python/C#), infrastructure as code, testing, and deployment using DevOps practices.

We are looking for a highly skilled engineer with 6+ years of experience in software or platform engineering, with significant time spent building and operating solutions in cloud environments (AWS preferred).

The ideal candidate will have strong hands-on programming experience in Python and C#, with solid understanding of object-oriented design, design patterns, service-oriented / microservices architectures, concurrency, and SOLID principles.

They will also have proven experience designing and operating AWS-based platforms (e.g., EC2, ECS/EKS, Lambda, S3, RDS, IAM) using infrastructure as code (Terraform, CloudFormation, or CDK).

In addition, the successful candidate will have practical experience implementing DevOps practices and CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps), including automated testing, security scanning, and deployment.

Experience supporting data science and analytics platforms, including orchestration tools such as Airflow, distributed processing engines such as Spark, and cloud-native data pipelines is also required.

Good understanding of SQL and core database concepts; familiarity with AWS analytics services (e.g., Glue, EMR, Redshift, Athena) is a plus.

Awareness of cloud security best practices, including IAM, network security, data encryption, and secure configuration management is also necessary.

Strong problem-solving and analytical skills; demonstrated ability to take ownership, deliver in a fast-paced environment, and collaborate effectively with global teams is essential.

Excellent communication skills, with ability to work closely with both technical and non-technical stakeholders is also required.

Experience estimating, monitoring, and optimizing AWS infrastructure costs, including use of tools such as AWS Cost Explorer, AWS Budgets, and cost-allocation tagging strategies is desirable.

Experience designing and operating workloads across multiple cloud environments and on-premises, using centralized policies, governance, and controls to support business-aligned teams is also beneficial.

Working knowledge of networking across on-premises and cloud environments, including VPC design, subnets, routing, VPNs/Direct Connect, load balancing, DNS, and network security controls is necessary.

Nice to have experience with additional big data tools or platforms (e.g., Kafka, Databricks, Snowflake, Flink).

Familiarity with Capital Markets concepts and operating models is also beneficial.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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Shape Testing Strategy for AI-Native Products

• Design and own end-to-end test strategies,automated and manual,for products that integrate LLMs, generative AI, and complex data pipelines.
• Develop novel evaluation frameworks for LLM output quality, prompt regression testing, and RAG retrieval accuracy.
• Select, implement, and continuously improve testing tools and frameworks in collaboration with engineering leadership and platform excellence teams.
• Drive a measurable shift from manual to automated testing, with clear metrics to track progress.

Own Quality and Release Readiness

• Be the single point of accountability for testing across all releases of your two products.
• Build and maintain automation frameworks and scripts that keep pace with rapid release cycles.
• Analyse test results, spot trends, and turn data into actionable improvements,not just reports.
• Prepare release-readiness documentation and quality artifacts that satisfy both internal stakeholders and GxP compliance requirements.

Lead, Coach, and Build Culture

• Partner with engineering managers, scrum masters, and delivery leads across squads and geographies to establish a shared quality vision.
• Lead external contract test engineering squads by influence,setting standards, mentoring team members, and modelling engineering excellence.
• Champion a quality-engineering mindset: everyone ships quality, not just the test team.
• Stay hands-on,write test cases, debug failures, and pair with engineers when the situation calls for it.

Essential Skills and Experience

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field (or equivalent practical experience).
• 10+ years of hands-on software test engineering experience across the full stack (UI, API, data).
• Proven ability to lead test strategy and mentor other test engineers,whether through formal management or technical leadership.
• Strong automation skills with modern frameworks such as Playwright, Selenium, or Cypress, plus scripting fluency in Python or a comparable language.
• Solid experience with REST API testing, database validation (PostgreSQL, MongoDB, or similar), and CI/CD-integrated test pipelines.
• A data-driven approach to quality: you define metrics, instrument dashboards, and use evidence to drive decisions.

Highly Preferred

• Experience testing AI/ML-powered products,especially LLM evaluation, prompt testing, RAG validation, or output-quality benchmarking.
• Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
• Background in life sciences, health-tech, or clinical-trial technology.
• Experience working with geographically distributed teams and external vendor squads.

If you're looking for a role where deep test engineering craft meets the frontier of AI,and where your work genuinely improves patient outcomes,this is it.

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The systematic data group is looking for a Quantitative Developer to join our growing team. The team consists of content specialists, data scientists, engineers, and quant developers who are responsible for discovering, maintaining, and analysing sources of alpha for our portfolio managers.

The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities:

• Use finance knowledge and statistical knowledge to analyse potential alpha sources and present findings to portfolio managers and quantitative analysts.
• Build quant tools to help portfolio managers research, evaluate, combine alphas, and understand risks.
• Design and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources.
• Engage with vendors, brokers, and perform analytics to understand characteristics of datasets.
• Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximise their profitability.

Skills Required:

• 3+ years of work experience as a financial engineer, data scientist, or quant developer.
• Strong knowledge of Python and/or C++, Java, C#.
• Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow.
• Strong SQL and database experience including PL-SQL or T-SQL.
• Understanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD.
• Ph.D. or Masters in computer science, mathematics, statistics, or other field requiring quantitative analysis.

Beneficial Skills and Experience:

• Understanding of risk models and performance attribution.
• Experience with financial markets such as equities and futures.
• Knowledge of statistical techniques and their usage.

The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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The Senior Director, Oncology Cell and Gene Therapy Regulatory Affairs, leads the development and implementation of the global regulatory strategy for CGT products of high complexity and visibility and may serve as Franchise GRL on complex programs with multiple indications.

In addition to GRL responsibilities, the Sr RAD has the ability to function in dual capacity by also serving as a regional lead based on their location.

The Sr RAD ensures that the regulatory strategy is designed to deliver efficient approval with competitive labelling in keeping with the properties of the product(s) and the needs identified by the business, markets and patients.

The Sr RAD provides team leadership and participates in coaching and mentorship to members of the relevant CGT Global Regulatory Strategy Team and is responsible for leading the global regulatory deliverables in line with GPT goals.

The Sr RAD establishes external relationships with key Regulatory stakeholders, leveraging these to maintain competitive advantage.

They are viewed as a Senior Leader within the Regulatory Community.

Key Responsibilities:

• Lead and own the development and implementation of the global regulatory strategy for a CGT product of high complexity, from current stage through BLA submission.

• May serve in dual-role as GRL and regional RAD.

• As a core member of the global product team, ensure that regulatory strategies are designed to deliver an efficient path to approval with competitive labeling in keeping with the properties of the product(s) and the needs identified by the business, markets and patients, and contribute to governance presentations.

• Lead regulatory strategy for all health authority meetings, responses to information requests, BLA development and submission, expedited pathway designations.

• Maintain a strong working knowledge of the relevant disease areas: early- and late-stage multiple myeloma.

• Lead a Global Regulatory Strategy Team (GRST) responsible for specific indications/programs within the franchise, key contributing members from the regions, emerging markets, RA CMC, Labeling and members of the submission and execution team.

• Participate in coaching and performance feedback to members of your GRST.

• Lead the objective assessment of emerging data against aspirations and update senior management on project risks/mitigation activities.

• Represent Regulatory Affairs on Global Product Teams (GPTs) providing strategic Regulatory advice and accountable for all Regulatory activities

• Accountable for the delivery of all project-related regulatory milestones, including assessment of the probability of regulatory success and mitigations.

• You will lead preparation of the regulatory strategy document and target product labeling.

• Demonstrate strategic, leadership, and collaboration skills, contributing to effective cross-functional teamwork in product development.

• Lead, participate, and promote non-project functional or cross-functional initiatives and engage externally on the corresponding topics as needed.

• Lead the development of novel regulatory tools and technology.

• Ensure appropriate planning and construction of the global dossier and core prescribing information led by the respective teams.

• Accountable for product maintenance and compliance activities associated with marketed brands.

• Partner with marketing companies (countries) and regional regulatory affairs staff to influence developing views/guidance.

• May have line management responsibilities in addition to matrixed supervisory, leadership, and mentoring roles.

Education, Qualifications, Skills and Experience

Essential:

• An advanced degree in a science related field and seven-ten years of experience and/or appropriate knowledge/experience.

• Demonstrated success in cell and/or gene therapy regulatory strategy.

• Deep understanding of global regulatory science and integration with program strategy.

• Long standing experience of overall drug/biologic development processes and strategies for high profile, complex or novel development programs.

• Experience with product development for multiple myeloma.

• Broad background of experience working in pharmaceutical business and prior experience in several areas within regulatory affairs.

• Experience in Oncology (small molecules & biologics) is preferred.

• Proven experience leading regulatory and cross-functional teams, and stakeholder management.

• Ability to think strategically and critically and evaluate risks to regulatory activities.

• Previous experience in leading major Health Authority interactions.

• Excellent oral, written, and presentation skills.

• Strong organizational skills.

• Ability to work in a fast-paced environment in a hands-on fashion.

• Flexible and proactive, with the ability to manage multiple projects and successfully adapt to changing business needs and priorities.

Desirable:

• Successful leadership of at least one global regulatory approval including leading response team and labeling negotiations

• Experience with FDA advisory committee and EMA oral explanation .

• Experience developing products for the treatment of autoimmune conditions.

• Experience working on due diligence activities and in a business alliance environment.

• Experience in leading and growing people through coaching or mentorship.

• Contribution to non-project business initiatives (e.g. at a portfolio or cross functional level)

About AstraZeneca

At AstraZeneca, Regulatory professionals help turn breakthrough science into real solutions for patients with serious diseases by shaping innovative pathways through complex global requirements.

Working with colleagues across locations, therapy areas and external partners, this role offers the chance to influence strategy end-to-end, from early development through rapid global approvals, while learning from leading experts, sharing best practices and using data, technology and modern approaches to reduce barriers for patients worldwide.

If this opportunity to drive transformative cell and gene therapies towards approval resonates, apply now to join us in bringing life-changing medicines to those who need them most.

Competitive salary and benefits package on offer:

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.

The annual base salary for this position ranges from $218,058.40 - 327,087.60. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles) or to receive a retirement contribution (hourly roles).

Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Date Posted 10-Apr-2026 Closing Date 29-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, marital status, citizenship, national origin, or veteran status.

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Responsibilities:

• Collaborate with cross-functional teams to gather requirements and user feedback
• Design, build, and refactor robust software applications with clean and concise code following Agile and continuous delivery practices
• Automate system maintenance tasks, end-of-day processing jobs, data integrity checks, and bulk data loads/extracts
• Stay up-to-date with industry trends, new platforms, and tools, and develop a business case to adopt new technologies
• Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)
• Support users and operational flows for quantitative risk, senior management, and portfolio management teams using the tools developed

Qualifications:

• Advanced degree in computer science or any other scientific field
• 3+ years of experience in CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD
• AWS Cloud infrastructure design, implementation, and support
• Experience with multiple AWS services
• Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation
• Knowledge of Python (Flask/FastAPI/Django)
• Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments
• Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana)
• Strong knowledge of Unix or Linux
• Strong communication skills to collaborate with various stakeholders
• Able to work independently in a fast-paced environment
• Detail-oriented, organized, demonstrating thoroughness and strong ownership of work
• Experience working in a production environment
• Some experience with relational and non-relational databases

Nice to have:

• Experience with a messaging middleware platform like Solace, Kafka, or RabbitMQ
• Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)

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As a Senior Trait Definition Scientist, you will work with a diverse set of teams and data inputs to develop roadmaps that deliver meaningful impact of gene editing for crop improvement, leveraging some of the industry's most extensive and global agriculture and genetic datasets.

Your primary responsibilities will include:

• Developing and documenting recommendations for trait targets for gene editing that are guided by business impact and aligned with product and portfolio needs.
• Guiding connectivity between germplasm development targets and gene editing priorities to ensure that editing strategies translate into improved seeds and traits.
• Developing robust workflows that enable cross-team communication, decision making, and iterative prioritization to shape research direction and resource allocation.
• Identifying novel opportunities to utilize gene editing to impact the development of new seeds and traits products, leveraging emerging science and data-driven insights.
• Leading or assisting in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams.
• Actively building and expanding networks within the Crop Genome Editing team and across functions, serving as a consultant to leadership and partners in your area of expertise.
• Contributing to the Biology and Genome Design community by continuously developing your own capabilities and sharing best practices, tools, and learnings with colleagues.

To be successful in this role, you will need to possess a PhD in Biological Sciences, Plant Breeding, Plant Sciences, Genetics, Developmental Biology, or a related field, and at least 4 years of post-PhD experience working in gene editing, germplasm improvement, or closely related fields.

You will also need to have excellent communication skills with fluency in English, both written and verbal, and experience defining the collection, organization, analysis, and use of complex biological datasets and translating them into testable hypotheses.

Additional compensation may include a bonus or incentive compensation (if relevant).

This posting will be available for application until at least April 20, 2026.

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Your key responsibilities will include:

• Maintaining and troubleshooting packaging equipment to prevent downtime and ensure optimal performance
• Conducting systematic error analyses to identify and resolve issues
• Performing technical optimizations and maintenance tasks on packaging equipment
• Collaborating with cross-functional teams to improve packaging processes and eliminate bottlenecks
• Ensuring compliance with Good Manufacturing Practices (GMP) and safety regulations

To succeed in this role, you will need:

• A degree in mechatronics, industrial electronics, or a related field
• Several years of experience in mechanical engineering, preferably in the packaging industry
• Strong technical knowledge and problem-solving skills
• Ability to work independently and as part of a team
• Excellent communication and documentation skills

If you are a motivated and detail-oriented individual with a passion for technical problem-solving, we encourage you to apply for this exciting opportunity.

Bayer offers a competitive salary and benefits package,-envelope training and development opportunities, and a dynamic work environment that values diversity and inclusion.

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We are looking for a highly motivated and detail-oriented individual with a strong background in biotechnology, bioengineering, or a related field. You should have a good understanding of aseptic techniques, cell culture, and bioanalysis. Additionally, you should be familiar with technical equipment and have experience with data analysis and interpretation.

As a member of our team, you will have the opportunity to work on exciting projects, collaborate with experienced professionals, and contribute to the development of new products and technologies. We offer a dynamic and inclusive work environment, competitive compensation, and opportunities for professional growth and development.

If you are interested in this opportunity, please submit your application, including your resume, cover letter, and transcript.

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Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

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You will coordinate and prioritize workload within a large team, provide on-the-job support to contingent staff, and communicate run performance, KPIs, and operational updates to stakeholders. You will work closely with hub specialists and scientists as well as supporting functional spaces within the Precision Genomics program.

To be successful in this role, you will possess a Bachelor's degree and knowledge of next-generation sequencing (NGS) technologies, platforms, and associated workflows. You will also have strong molecular biology foundation with the ability to troubleshoot workflows, interpret data, and apply sound scientific judgment. Additionally, you will have demonstrated good laboratory technique, including accurate pipetting, contamination control, and consistent execution of SOPs.

Preferred qualifications include a Master's degree in Biology, Chemistry, or a related field with 1+ year of relevant experience, or a Bachelor's degree with 4+ years of related experience in academia or industry. Experience operating NGS instruments (Illumina preferred) in research or production settings, high-throughput automation experience, and proficiency with digital lab systems such as LIMS, sample-tracking tools, and data analysis or visualization software are also desirable.

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You will be expected to serve as Oncology biology lead for one or more pipeline programs, working collaboratively with cross-functional teams to ensure the timely generation and dissemination of critical program data to enable milestone progression decisions. You will help set program strategy, and will be responsible for the delivery of key pre-clinical data that support a strong biological rationale for program progression.

As a highly organized, self-motivated individual with a strong background in cancer biology, you will stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling, particularly as it relates to antibody drug conjugates, and have a genuine passion for this field of research.

Main duties and responsibilities:

• Serve as Oncology biology lead for one or more pipeline programs
• Work collaboratively with cross-functional teams to ensure timely generation and dissemination of critical program data
• Help set program strategy and deliver key pre-clinical data
• Manage and mentor a team of direct reports

Essential requirements:

• Ph.D. with 5-10 years of research experience or Master’s degree with 8+ years within the pharmaceutical industry
• Demonstrated ability to lead cross-functional project teams
• Demonstrated management and leadership skills and a passion for mentorship
• Strong knowledge of solid tumor cancers, in-vitro and in-vivo pre-clinical models of cancer, cell biology, molecular biology, and/or biochemistry in the context of cancer biology
• Excellent verbal and written communication, presentation, and interpersonal skills

Desirable requirements:

• Prior experience in the biopharmaceutical industry
• Prior experience with antibody-drug conjugates

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This individual will lead critical franchise wide initiatives working closely with the brand and cross functional members when appropriate. This individual will work across neurology indications to prepare monthly and quarterly business reviews both within the business unit and for presentation to US and Alexion executive teams.

Key responsibilities include:

• Leading the development of US insights and “must dos” for neurology in-line assets, translating market dynamics into clear strategic direction.
• Representing US Neurology on global asset teams where plans exist to launch in the US, ensuring US needs and perspectives are embedded in global strategies.
• Shaping the US market research plan in partnership with the market research lead and US Business Unit lead for pipeline assets destined for US launch.
• Developing robust US forecasts and KPI projections in partnership with finance, analytics and global colleagues as part of mid- and long-range planning.
• Working collaboratively across the US commercial team and key cross-functional partners (including global teams, medical affairs, market access, patient advocacy, legal and compliance) to drive flawless execution of the annual operational plan.
• Leading critical cross-therapeutic, cross-functional projects that impact all neurology indications (e.g. GMG and NMOSD), identifying synergies and performance opportunities.
• Leading US Neurology business review sessions at Neurology Leadership Team level, including tracking and driving follow-up actions across both therapeutic areas.
• In collaboration with the BU lead and marketing heads, developing strategy and key tactical updates for in-line assets for monthly and quarterly executive leadership review.
• Representing US Neurology on new global pipeline assets, shaping launch readiness and commercial strategy from an early stage.
• Developing agendas and track follow-up for key franchise cross-functional meetings and townhalls, enabling clear communication and alignment.
• Partnering with finance and competitive intelligence to deliver quarterly competitive share reporting and insights that inform strategic choices.
• Working with Analytics and Finance to develop and maintain neurology dashboards that clearly communicate performance trends and opportunities.
• Creating executive-level presentations that communicate performance, strategic initiatives and recommendations with compelling storytelling.
• Leading several cross-functional franchise projects aimed at enhancing US performance, unlocking efficiencies and strengthening franchise integration.
• Leading the cross-functional franchise leadership team to align on priorities, resolve issues and accelerate decision-making.
• Leading US Neurology franchise meetings and key franchise communications, including Neurology Leadership meetings and Neurology Townhalls.
• Overseeing the development and publishing of US Neurology dashboards and key reporting in partnership with analytics and finance, ensuring timely, accurate insights.

Essential skills and experience include:

• Minimum 8 years of experience within biotech/pharma.
• Previous enterprise/franchise experience.
• Demonstrated ability to think innovatively and drive best in class customer experience.
• Strong strategic mindset and business acumen with significant experience with MS Office, enabling strong storytelling for executive audiences.
• Ability to travel as required to meet business needs; ~30-40%

Desirable skills and experience include:

• MBA
• Previous consulting/Chief of Staff experience preferred
• Previous launch planning in the U.S.

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Your tasks will include:

• Working with a team of product managers, agronomists, and developers to integrate and adapt models into existing applications
• Conducting data analyses and visualizing results
• Supporting the development of innovative solutions for precision agriculture

We offer a dynamic and inclusive work environment where you can bring your ideas and perspectives to the table. Our team is committed to making a positive impact on the world through our work.

As a practicum student, you will have the opportunity to gain hands-on experience and develop new skills in a real-world setting. You will be supported by experienced colleagues and have access to a range of resources and training opportunities.

If you are passionate about AI, data science, and precision agriculture, we encourage you to apply for this exciting opportunity.

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Your 12-Month Journey

During the first 3 months, you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt), core business data models, and understand the current pain points in our data flow. You will deliver and optimize your first high-priority models for product usage and financial reporting. You will partner with the Data Engineer to align on the new infrastructure roadmap.

Within 6 months, you will implement a robust semantic layer to standardize KPIs across the company and enable AI-readiness and advanced natural language querying.

After 1 year, you will fully own the company's data modeling architecture, ensuring it is prepared for AI and machine learning applications. You will act as a strategic advisor to department heads, using data to help shape the company's long-term growth and forecasting strategies.

What You'll Be Doing

Strategic Data Product Ownership: Manage the end-to-end lifecycle of our internal data products. You will partner with stakeholders to translate complex business questions into technical requirements, selecting the right tools to ensure our reporting is scalable, accessible, and high-impact.

Advanced Analytics Engineering: Design, build, and maintain our core data models using dbt Labs. You will own the logic for mission-critical datasets, including financial reporting, churn forecasting, and reverse-ETL flows that sync warehouse data back into our business tools (e.g., Planhat, HubSpot).

Data Governance & Semantic Layering: Act as the guardian of 'The Truth.' You will implement data governance standards and build our semantic layer to ensure metrics are consistent across the company.

Data Democratization & Enablement: In collaboration with RevOps, you will design and deliver training programs and documentation. Your goal is to empower users across Finance, Product, and GTM to independently navigate data products and derive their own insights.

Collaboration: You will be the central hub of our data organization. You will work daily with the Data Engineer to align on the roadmap, while frequently consulting with Finance, GTM, and Product leaders to ensure our data products solve their most pressing problems.

What You Bring

Solid experience in Analytics Engineering, Data Analysis, or Data Engineering, with a track record of independently delivering data products that enable reporting, decision-making, and CDP use cases.

You are an expert in SQL and understand how to write performant, modular code. Familiarity with Python and Git for optimizing and versioning data transformations is a significant advantage.

Deep, hands-on experience with dbt and BigQuery is a must. You should also be comfortable navigating ELT tools like Airbyte or Fivetran.

Commercially savvy: you understand the business. You can spot opportunities where data can improve ARR, reduce churn, or optimize spend.

You thrive in fast-paced environments and are comfortable creating structure out of the uncertainty of a scaling company.

Strong project management and stakeholder management skills. You are a 'bilingual' communicator who can discuss warehouse schemas with an engineer and ARR growth with a CFO.

Fluency in English, both written and spoken, at a minimum C1 level

What We Offer

Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam

A chance to be part of and shape one of the most ambitious scale-ups in Europe

Work in a diverse and multicultural team

€1,500 annual training budget plus internal training

Pension plan, travel reimbursement, and wellness perks

28 paid holiday days + 2 additional days to relax in 2026

Work from anywhere for 4 weeks/year

An inclusive and international work environment with a whole lot of fun thrown in!

Apple MacBook and tools

€200 Home Office budget

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This position involves active participation in the daily project and operational tasks within the CGT manufacturing facilities. Primarily focused on on-the-floor Quality Operations, the SME is responsible for enhancing the team's understanding of Cell and Gene Therapy quality requirements.

The individual in this role must possess the ability to work independently, demonstrating excellent judgment and the capability to effectively engage with a diverse range of key stakeholders.

Responsibilities:

• Fully own the Quality Operational tasks required to ensure compliant and safe execution of CGT operational activities in the CGT MOD facility.
• Oversee quality assurance processes for CGT products from development to commercial launch.
• Engage with cross-functional teams to ensure compliance with Global Processes and Regulatory standards.
• Manage risks associated with CGT product development and manufacturing, including finding risk-based and phase-appropriate solutions when issues arise.
• Foster a culture of open communication and collaboration among team members and stakeholders, with an aptitude to being able to have tough conversations when Quality decisions may not be favored across stakeholder groups.
• Provide coaching and mentorship to team members, promoting their professional growth and ensuring alignment to the Quality decisions made.
• Develop and implement strategies to improve quality assurance practices.

Quality Assurance Oversight:

• Ensure compliance with regulatory requirements (GxP, ATMP) and internal quality standards throughout the product lifecycle.
• Act as a quality advocate between development, manufacturing, supply chain, and regulatory affairs.
• Provide risk-based solutions to issues that arise to ensure compliance to phase-appropriate Quality requirements, while also ensuring the flexibility to continue with process knowledge and development.
• Implement advanced risk management strategies, including conducting investigations (e.g., FMEA) and managing risk profiles associated with CGT products.
• Identify and mitigate potential risks related to quality assurance processes.
• Implement global CGT program elements into local procedures to ensure compliance to CGT program expectations.
• Analyze past performance to prevent recurrence of issues and improve future outcomes.
• Promote a culture of continuous learning and improvement within the quality assurance team.
• Engage directly in daily quality assurance activities and provide hands-on support to team members as needed.
• Maintain a practical mindset when addressing unforeseen problems and developing solutions.

Regulatory Knowledge and Support:

• Ensure all documentation and processes are aligned with regulatory standards and best practices.
• Collaborate with Regulatory stakeholders to support the Regulatory filing and documentation needs.

Communication and Collaboration:

• Actively participate as the Quality point of contact for projects by ensuring timely completion of tasks and deliverables.
• Coordinate cross-functional teams to address quality-related challenges and ensure alignment with project goals.
• Ensure timely communication of project milestone deliverables when at risk.
• Foster open communication and collaboration among team members and stakeholders, encouraging discussion and input during meetings.
• Communicate effectively with regulatory agencies and internal teams to ensure clarity on quality expectations.

Requirements:

• Experience with CGT Products: Trackable experience in CGT Quality Assurance and familiarity with manufacturing processes and release criteria for CGT products.
• Practical Mindset in ATMP Advancement: The candidate should have a hands-on approach to advancing Advanced Therapy Medicinal Products (ATMPs) with a focus on practical solutions.
• Project Management Skills: Strong project management capabilities to handle both tactical and strategic elements of the role.
• Flexibility and Agility: The ability to adapt to changing environments and pivot strategies as necessary.

Preferred Qualifications:

• Degree in Life Sciences, Engineering, or a related field is preferred.
• Advanced degrees (Master's or PhD).
• Proven track record in Quality Assurance specifically within Cell and Gene Therapy (CGT) or Advanced Therapy Medicinal Products (ATMP).
• Experience with both late-stage development and marketed CGT products.
• Strong background in Quality Management Systems (QMS) and experience with quality audits.
• Knowledge of critical quality attributes and process parameters relevant to CGT products.
• Experience with advanced risk management techniques, including FMEA (Failure Mode and Effects Analysis).
• Ability to manage risk effectively throughout the product lifecycle.
• Experience in managing timelines and deliverables related to quality assurance.
• Excellent verbal and written communication skills to interact with various stakeholders, including regulatory agencies.
• Ability to communicate complex information clearly and effectively across different teams and cultures.
• Strong interpersonal skills to foster collaboration and act as a quality advocate among development, manufacturing, and regulatory teams.
• Ability to build relationships and work cross-functionally within an organization.
• Ability to adapt to changing regulatory and operational environments.
• Flexibility in adjusting strategies and approaches based on evolving needs and priorities.

This is an Onsite position at our site in Berkeley, CA. Employees can expect to be paid a salary between $123,760.00 - $185,640.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc.

This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 04/23/2026.

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This role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products.

Your primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.

Your 12-Month Journey During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.

Within 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.

After 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.

What You’ll Be Doing Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.

Deploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.

Champion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.

Technical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.

Collaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.

What You Bring Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments. The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem. Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform). Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug. DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments). Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code. Comfortable in a fast-paced environment Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management. Fluency in English, both written and spoken, at a minimum C1 level

What We Offer Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam A chance to be part of and shape one of the most ambitious scale-ups in Europe Work in a diverse and multicultural team €1,500 annual training budget plus internal training Pension plan, travel reimbursement, and wellness perks 28 paid holiday days + 2 additional days to relax in 2026 Work from anywhere for 4 weeks/year An inclusive and international work environment with a whole lot of fun thrown in! Apple MacBook and tools €200 Home Office budget

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Requirements include a Master's degree in Chemical Engineering or a closely-related field and 6 years of experience in agricultural chemical manufacturing facility process engineering roles. You should have a strong background in developing and presenting project scope, cost estimates, budget, and schedule for capital manufacturing projects, as well as reviewing R&D technology research reports to provide input related to manufacturing scale-up.

Additional responsibilities include adhering to RCRA hazardous waste regulations, determinations, storage, and codes, including communicating spills and leaks, investigating and identifying corrective actions, and implementing preventative procedures to prevent future occurrences. You will also create and maintain plant operation SOPs, including process descriptions, material and energy balances, P&IDs, operating data collection and retrieval, and PSIs.

As a Principal Production Engineer, you will develop and implement asset reliability and process improvements in collaboration with cross-functional teams across manufacturing sites, track and manage manufacturing yield and TPRs using heat and material balances to find solutions to manage cost within budget, and lead environmental reporting, digital control system development, and safety management.

You will also apply Six Sigma methodologies for manufacturing process analysis to provide appropriate engineering solutions, use Aspen Plus, Minitab, and Pipe-FLO process modeling software to perform equipment design for instance pump sizing, heat exchanger, and reactor design calculations, and utilize DeltaV to support manufacturing facility design and optimization.

Up to 10% U.S. and/or international travel is required.

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In addition to your technical expertise, you will interface with various engineering disciplines, customers, and vendors/suppliers, train operations, maintenance, and other personnel as required, and participate in check-out, commissioning, testing, start-up, and field support. You will also contribute to modification of existing procedures, standards, and practices to stay current with technology and assist with the implementation of improved methods.

As an Automation Tech III, you will identify safety risks, participate in safety reviews, and understand safety strategies, including interlocks, alarms, procedures, safety systems, etc. You will also provide direction and mentoring to other technicians in the execution of tasks as appropriate, perform complex system start-up, troubleshooting, and repairs in remote environments, and troubleshoot with end-users to advise repairs in-person and via phone, email, etc.

If you have a strong background in electrical, mechanical, agricultural, computer/information, or industrial technologies, and significant experience in automation, systems testing, automation support, field service, complex equipment repairs, etc., we encourage you to apply for this exciting opportunity.

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About tonies: tonies is the globally leading interactive audio platform for children with more than 10 million Tonieboxes and 125 million Tonies sold. The intuitive and award-winning audio system has changed the way young children play and learn independently with its child-safe, wireless, and screen-free approach. Tonieboxes have been activated in over 100 countries, the content portfolio includes around 1,400 Tonies in several languages.

Joining our tonies team means being part of an inspiring mission to create innovative and meaningful experiences for children around the world. Together, we’re shaping the future of play, learning, and imagination.

You as part of tonies: We are currently on a journey to transform our digital backbone, replacing a fragmented legacy landscape with a unified S/4HANA Public Cloud digital core. As our Solution Architect, you will be the guardian of this transformation. You will take a cross-application and cross-process perspective, owning the end-to-end solution design and system integrity across all enterprise domains. You will bridge the gap between business strategy and technical excellence, ensuring our systems can scale as fast as we do.

Your tasks and responsibilities will include:

• Own Solution Integrity: Lead the end-to-end solution design across our entire ecosystem, ensuring technical standards and system integrity are maintained.
• Architect for Scale: Translate business demands and requirements into robust, scalable technical configurations within SAP S/4HANA Public Cloud.
• Drive Integration Excellence: Design and optimize complex integrations between SAP and other platforms, including CRM, PLM, and e-commerce (e.g., Shopify, Commercetools).
• Technical Design Authority: Act as the “technical veto” in our Template Advisory Board, protecting the “Clean Core” and ensuring long-term maintainability.
• Bridge the Gaps: Work closely with our Enterprise Integration Team to leverage AWS Eventbridge and define modern, event-driven data flows.
• Collaborate and Innovate: Support alignment with Enterprise Architecture and help assess the technical feasibility of new business initiatives.
• Guide the Implementation: Partner with functional consultants and engineers to provide technical direction and guide them in realizing complex solutions.

What we are looking for:

• Deep SAP Expertise: You have significant exposure to SAP S/4HANA Public Cloud.
• BTP Mastery: Extensive hands-on experience with SAP BTP
• Integration Expert: You possess deep knowledge of APIs and modern integration patterns.
• Scale-up Mindset: You have a proven track record of architecting solutions in fast-growing, multi-entity organizations.
• Hands-on Approach: You are not just a high-level strategist; you are comfortable getting “hands-on” with the system to solve complex problems.
• Analytical Power: You can interpret abstract business needs and transform them into detailed, high-quality solution designs.
• E-commerce & 3PL Knowledge: Familiarity with platforms like Shopify or Commercetools and 3PL logistics integrations is highly desirable.
• Communication Skills: You are an expert at facilitating workshops and guiding stakeholders through complex technical decisions.
• Bonus Skills: Previous experience or knowledge of coding is considered a strong advantage.

Why tonies?

• Global Teamwork: We collaborate across departmental and country borders on our vision to bring the Toniebox into every child’s room in the world.
• Come as you are: This applies not only to the dress code but also to everything else. Because only where you truly feel comfortable can you give your best.
• Mobility: Choose the option that suits you best - a Deutschlandticket (public transport ticket) for unlimited mobility, a monthly contribution for an office parking space, a leasing bicycle, or a remote work subsidy.
• Enhanced Security: Benefit from subsidies for company pension plans, occupational pension schemes, and occupational disability insurance.
• Rest & Time Off: Enjoy 30 days of paid annual leave as well as three additional days off such as Rosenmontag, Christmas Eve, and New Year’s Eve. After one year of employment, you can also use up to 10 “toniecation days” (unpaid leave days).
• Continuous Learning: Benefit from our internal and external training opportunities as well as an individual learning budget to continuously expand your knowledge.
• Language Learning & Relaxation: Improve your communication skills with the language learning app Babbel and find relaxation through our access to the meditation app Calm.
• Discounts: Benefit from attractive discounts on our entire range of tonies products.

Good to know:

As part of our principles, we are committed to supporting inclusion and diversity at tonies. We actively celebrate our colleagues’ different abilities, ethnicities, faith and gender. Everyone is welcome and supported in their development at all stages in their journey with us.

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The successful candidate will have a strong background in privacy, data protection, security, risk management, compliance, or related fields, with a minimum of 12 years of experience. You will be responsible for leading the DFS Data Governance Program in alignment with Bayer and BCS global policies, overseeing the integrity, classification, usability, and security of governed data assets, and holding decision rights for FieldView data governance.

In addition to your technical expertise, you will possess strong communication skills across organizational levels, foundational project/program management experience, and the ability to influence senior stakeholders. You will also be responsible for defining and tracking KPIs and governance metrics to evaluate and improve program maturity.

If you're a motivated and experienced professional looking to join a dynamic team, please submit your application.

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In this role, you will drive an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impact, working with a diverse set of data inputs to develop genotype-to-phenotype predictions using some of the industry's most extensive and global agriculture and genetic datasets.

As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while modeling best practices for others and partnering closely with cross-functional scientific, engineering, and IT teams across the company.

Responsibilities

• Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies
• Develop and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets
• Develop robust workflows and analysis pipelines that enable cross-team communication, data sharing, and decision-making, supporting iterative learning from key experiments to shape research direction
• Identify and refine methods for capturing complex genetic interactions and the influence of genetic variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines
• Lead or assist in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams
• Collaborate closely with cross-functional and cross-cultural scientific, engineering, and IT partners to align gene editing and data science approaches with pipeline and business needs
• Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems

Requirements

• PhD in Biological Sciences, Computational Biology, or a related field
• At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields
• Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses
• Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry
• Distinct communication skills with fluency in English, both written and verbal

Preferred Qualifications

• Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other closely related discipline
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals
• Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges
• Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level

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At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.

Our Gaithersburg, Maryland facility creates life-changing medicines for people around the world. This campus employs more than 3,500 experts in our field and is only a short drive from Washington, DC.

Join our dynamic Site Validation team as a Sr Validation Engineer. The department supports all areas of clinical manufacturing including support laboratories. The areas of accountability include equipment, utilities and facilities validation, CVS and daily operational support.

Main Duties & Responsibilities:

• Execute system validations for Manufacturing, Analytical and CTUs for all functions supporting the Gaithersburg Pilot Facility including Manufacturing, Analytical Sciences, Quality Control, Facilities, and Device functions.

• Manage validation lifecycle including execution of revalidations and periodic system review.

• Manage the CVS program and execute routine CVS

• Author validation protocols, reports, SOPs and other technical documents in support of the validation program at AstraZeneca.

• Executes data integrity assessments to ensure proper data generation and security for cGMP systems.

• Assists in performing project management activities.

• Support AstraZeneca’s Audit and Inspection Program.

Education & Experience Requirements:

• Bachelor's degree in engineering or sciences with 3+ years of experience, master's degree in engineering or science with 2+ years' experience, PhD Degree in Engineering or Science with 1+ years' experience or HS Diploma with 8+ years' experience.

Why AstraZeneca?

At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential.

Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together.

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Your tasks and learning areas will include:

• Digitalization of building permit documents and creation of a structured digital archive
• Identification and categorization of relevant documents to ensure efficient storage and retrieval
• Support in developing standards and processes for digital document management
• Collaboration with various departments to ensure all required documents are captured and digitized

What you bring:

• Ongoing studies in architecture, civil engineering
• Basic knowledge of building permit management and familiarity with the fundamental documents of a building permit
• Ability to read and understand technical drawings
• Experience with common software applications for document management and digitization
• Self-motivated and structured working style, as well as teamwork skills
• Interest in digital solutions and optimizing workflows
• Fluent German language skills in writing and speaking

What we offer:

• Our performance package is flexible, value-oriented, and tailored to your lifestyle
• With a full-time employment, you can expect an attractive gross monthly salary of €2,280
• Depending on the type of work and in consultation with your supervisor, various flexible working time models are possible
• We support your further development through access to learning opportunities such as LinkedIn Learning and our language learning platform Education First
• We confirm sustainable mobility by offering climate-friendly mobility options such as job ticket and bike sharing
• You will receive exciting benefits and access to discounts from over 150 brands with our Corporate Benefits Program
• We celebrate diversity with an inclusive work environment where you will be welcomed, supported, and encouraged to bring your whole personality

If you're feeling burned out by bureaucracy, we are too. That's why we're changing the way we work - for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO).

Our mission and strategy: With Dynamic Shared Ownership, we're ending the hierarchical model and giving more power to the innovators and creatives at Bayer. We're offering you a challenging internship for up to 6 months or according to your study schedule, starting immediately. The time as a Praktikant*in will serve to gain experiences and new knowledge and to get professionally oriented. During the practical work, you will be extensively accompanied by experienced colleagues and can thus deepen your theoretical knowledge.

We look forward to receiving your complete application!

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Responsibilities:

• Perform preventive maintenance, repairs, and installations at end-user customer sites using approved Bayer documentation.
• Schedule and organize own work activities, ensuring efficient operations.
• Organize and re-order inventory valued at $20K to ensure quality work and low incident of defective or incomplete on-site customer visits.
• Responsible for proper return of all defective inventory for replenishment.
• Price service calls, offering discounts or converting to full contracts when needed.
• Generate service revenue of up to $500K in given work group (Individual revenue responsibilities may vary).
• Prepare and develop sales quotes and follow through to close the sale.
• Call end-user customers, purchasing agents, and Bayer dealers to finalize and ask for the order.
• Interface heavily with Service Admin/MSRC billing processors to ensure proper and timely invoicing.
• Responsible to assist in collection activities within a given territory.
• In some cases, generate customer interest and communicate to Service Marketing Rep.
• Generate and communicate sales leads to respective sales rep for new product or disposable opportunities.
• Maintain company car, oil changes, tire rotation, etc., and tools in good working order valued at $35-$45K.
• Ensure all proprietary info is safe-guarded from non-Bayer personnel, including Service & Training Manuals, Diagnostic and Calibration software, BIT keys, etc.

Requirements:

• Associate's Degree in Electronics, IT Networking, Computer Science, or relevant discipline required with 2 years of applicable experience or Bachelor's Degree in relevant discipline.
• Equivalent Military Experience/Training in areas such as Electronics, Aviation, IT, Computer Science, or relevant training with 2 years of applicable experience can be considered in lieu of degree.
• Technical trade skills in areas such as soldering, electrical installation & troubleshooting.
• Prior experience in a customer-facing role.
• Demonstrated ability to work in a fast-paced self-directed environment.
• Good verbal and written competencies, along with flexibility and good judgment.
• Ability to prioritize workload and tasks to maximize revenue.
• Proficient in Microsoft Office product suite & comfortability in using company-specific databases and CRM systems.
• Ability to travel within assigned territory and nationally, at times overnight and extended time periods.
• Must hold a valid driver's license.

Preferred Qualifications:

• Demonstrated knowledge of Medical Device & Radiology business.
• Prior experience in a Field Service Role and/or regulated industry.

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We are currently seeking an experienced professional to join our team in the role of Head of PB CLM and Client Reporting.

As a senior technology leader, you will be responsible for overseeing the delivery of technology solutions that enable faster and safer delivery, with clear VSIP delivery priorities, roadmaps, and capacity plans.

Key responsibilities include:

• Ensuring resilient and quality engineering, driving engineering best practices and automation, cloud adoption and optimisation, and service resilience across your domain.
• Empowering delivery teams to be efficient, driving Agile Ways of Operating and managing Technology financials and resources within approved budgets.
• Driving convergence towards FSA and global scalable solutions.
• Focusing on the improvement of customer experience, whilst clarifying and prioritising demand across all markets.

You will partner with the business to define a coherent vision and supporting technology roadmap, aligned to the GPB Future State Architecture in line with business Target Operating models and Enterprise Technology architecture principles.

All aspects of change delivered in S/VS, including adherence to global HSBC principles and frameworks.

Input into S/VS backlog prioritisation and decision making, via transparent communication with key stakeholders including Domain Heads and Market CIOs.

Defining and shaping technology components of the Capabilities, Features and Customer Journeys.

Supporting other GPB domains, by providing a common framework for the delivery of consistent and complementary data and reporting solutions.

Reducing RTB costs through minimising solution variation across Markets, demising legacy solutions and driving alignment to Future State Architecture.

Developing Country Technology delivery roadmap in partnership with Business and ensuring Country demand is clearly articulated and prioritised within global portfolios.

Engineering & Technical Service Management

• Delivery of Technology specific development of new and existing solutions required to enable realisation of OKRs in line with the Technology resilience standards.
• Enabling customisation/configuration of technology solutions to factor technology-specific local market requirements and regulations.
• Ensuring effective service management for GPB CLM & Client Reporting services and incidents, constantly aiming for high levels of customer satisfaction.
• Ensuring adherence to security and compliance standards, including data privacy regulations.

Collaborating with cybersecurity and compliance teams to implement best practices, conduct audits, and mitigate risks.

Leadership & Teamwork

• Managing a globally dispersed Technology team, developing talent and instilling a culture of high-performance and cross-functional collaboration.
• Maintaining strong relationships with Business stakeholders, partnering to deliver world-class solutions within your domains.
• Guiding Technology teams in clarification of needs and possible solution paths, together with Business, Transformation and Flow-to-Work teams.

Knowledge & Experience/Qualifications

• Domain Knowledge – Experience in a global Private Banking technology organisation, a global and multi-divisional setting being a significant advantage.
• Cross-Functional Collaboration – Unifying cross-functional Business and Technology teams to drive and optimise achievement of common objectives and customer outcomes.
• Technology & Resilience – Understanding of relevant platforms, tools, and processes to drive delivery efficiency, resilience, and engineering excellence (e.g. Mode2, TRMF, SonarQube), as well as experience with high availability, high-scale, and performant systems.
• Lean-Agile Practices – Proven experience with Lean-Agile ways of working (DevSecOps, sprints, Jira/Kanban workflows etc.), to increase efficiency and optimise value delivery.
• Financial – VSIP budget and resource allocation, value-based decision making, cost optimisation and business case development.
• Stakeholder Management & Communication Skills – Conveying complex concepts, facilitating discussions, and driving consensus among stakeholders at all levels, with the ability to balance conflicting and changing demands through prioritisation and a pragmatic approach.

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Your tasks and responsibilities will include: Participating as a project team member for large complexity field testing projects; Assisting in project team planning, preparation, site coordination, close-out documentation, and equipment clean-up as part of the regulatory and customer deliverables per the Emissions Testing Group (ETG) checklists and Standard Operating Procedures (SOP); Performing field tests in accordance with USEPA and other regulatory and laboratory methods and requirements; Maintaining, repairing, and calibrating testing equipment per procedures; Ensuring field testing projects are performed safely and in accordance with ETG and Bayer policies; Consulting with outside labs for methods and analysis, assisting customers on site sampling set up and preparation for field projects and teams; Traveling up to 75% is required.

We seek an incumbent who possesses the following: High School Diploma or GED; 1+ years of experience in environmental, emissions, or engineering; Valid Driver's License; Good analytical and problem-solving skills; Collaborative team player capable of working well with people across all hierarchies internally and externally; Good organizational and presentation skills; Strong interpersonal skills, including communication, listening, verbal, and assertiveness; Results-driven with the ability to manage ambiguity.

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Key responsibilities include:

• Performing routine analytical testing as directed by protocols and work instructions
• Working a variety of shifts (including weekends and holidays)
• Requesting additional work to increase team productivity
• Preparing solutions, cleaning glassware, disposing of solid/liquid waste and other duties to help in the overall operations of the laboratory
• Training others on waste management
• Alerting lab leadership of issues or discrepancies involving sample integrity, supply inventory, safety concerns, or analysis irregularities
• Communicating troubleshooting opportunities in testing processes
• Conducting basic (operational) preventative maintenance according to work instructions

You will identify and communicate operational issues of laboratory instruments and equipment KPIs. You will understand and operate the Laboratory Information Management System (LIMS), Chromatography Data System (CDS) system, and other instrument specific computer systems. You will search various databases for test methods, specifications, and standards to locate information required to complete analyses. You will promptly and accurately record, calculate, and report analytical results. You will review analytical data and various LIMS reports. You will communicate and discuss any issues with team members and the supervisor. You will complete data entry for metrics and KPIs. You will identify process improvement ideas and communicate opportunities. You will assist in improving established procedures and implementing continuous improvement projects. You will communicate testing results to customers as required. You will act with customers in mind.

You will notify leads when supplies/consumables are at critical levels. You will observe good safety and housekeeping practices. You will participate in lab/site safety programs and cross-site initiatives. You will maintain knowledge of RCRA hazardous waste regulations, waste determinations, waste codes, and how to immediately communicate the discovery of spills and leaks.

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As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

In this role, you'll:

Work on the operation and maintenance of complex engineering systems, ensuring that work is completed to the acceptable standards within the agreed timescales and with no disruption to IT Services along with resolving operational issues ensuring the integrity of the infrastructure is maintained in support of IT Services.

Implement effective emergency operating procedures to ensure system recovery is achieved with minimum impact to services, escalating and raising awareness as appropriate.

Schedule and manage the planned, preventative, and reactive maintenance of engineering systems and infrastructure, whilst ensuring work is completed within agreed timescales and to expected quality.

Support the other dimensions of the role include the scheduling and execution of all required infrastructure installations required to support IT Hardware and Equipment.

Improve service quality, by continuously reviewing and enhancing methods of operation and maintenance, effectively utilising tools and system employed with the Group Data Centre.

Ensure current Health & Safety legislation and statutory requirements are met by implementing and developing safe working standards and procedures within the department.

To be successful in this role, you should meet the following requirements:

Acquired a range of technical skills and experience within an engineering Data Centre environment.

A track record of gaining an understanding of customers' needs and delivering excellent customer service with a flexible and adaptable approach to change and will support others to respond in a similar way.

Experience of supporting others performance, enabling them to achieve by providing clear direction, motivation and support.

Experience of making prompt and practical business decision, even in times of ambiguity, considering various perspectives and taking responsibility for outcome.

Experience of working complex systems.

Experience of Power (HV & LV systems) Drups and UPS Systems, Air Conditioning & water systems.

NVQ IV BTEC HNC or equivalent qualification in Electrical / Mechanical Engineering would be ideal.

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Key Responsibilities:

• Develop and implement system test solutions for complex electromechanical assemblies and combination products
• Stay ahead of emerging technologies and methodologies to enhance our manufacturing capabilities
• Review and analyze system specifications
• Spearhead the development of next-generation test equipment fixtures and processes
• Collaborate with cross-functional teams, external partners, and manufacturing sites to deliver projects on time and within budget
• Mentor junior engineers and promote Design for Excellence (DfX) initiatives
• Create and maintain comprehensive technical documentation, ensuring compliance with safety, quality, and regulatory standards

Requirements:

• Minimum of a Bachelor's Degree or an equivalent combination of education and experience
• Industry experience in the medical device sector (or other heavily regulated industry)
• Knowledge of best practices in software development lifecycle with proven ability in multiple languages
• Familiarity with MCAD and ECAD tools
• Proficient in statistical analysis and the use of statistical tools to interpret data, identify trends, and implement solutions that enhance accuracy and efficiency in systems testing
• Proven track record of leading and mentoring teams

Preferred Qualifications:

• At least 4 years of relevant industry experience in the medical device sector (or other heavily regulated industry)
• Experience developing dashboards in an informatics tool such as Power BI or Tableau

This position will be available for application until at least 4/27/2026. Employees can expect to be paid a salary between $112,400.00 - $168,600.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

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Key responsibilities include creating short-range mine plans, working closely with on-site mining contractors and plant staff, identifying and implementing projects to reduce production costs and enhance safety, and developing digital designs and schedules incorporating best practices and cost control.

The successful candidate will possess a Bachelor's degree in Mining Engineering or a closely related field, expertise in hydraulic analysis and pump system design, and proficiency with computerized mine applications, including industry-standard mine planning software, AutoCAD, and Microsoft Office Suite.

We offer a competitive salary range of $90,400.00 - $135,600.00, additional compensation may include a bonus or commission, and a range of benefits including health care, vision, dental, retirement, PTO, and sick leave.

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We're building an enterprise-grade Infrastructure Operations Platform named VOPs to support the facilitation of most complex IT infrastructure operations for all IT teams at Bayer globally. Your responsibilities will include:

Planning and Design: Join the team responsible for planning and running our VOPs platform. Leadership: Mentor a team of engineers, providing guidance and support in the implementation of cloud solutions. Collaboration with Stakeholders: Work closely with Squad Leads and other stakeholders to understand requirements and align integration strategies with business goals. Technical Oversight: Ensure that solutions are scalable, reliable, maintainable, and secure, adhering to best practices in IT architecture and in-line with Bayer's strategy. Documentation and Standards: Create, maintain, and review comprehensive documentation for processes, standards, and best practices. Intercultural Communication: Foster an environment of open communication and collaboration among diverse teams across different geographical locations.

Our requirements include: Degree in Computer Science, Information Technology, or related field, or equivalent practical experience as an IT engineer. At least 6 years of experience in Azure (other clouds will be a plus). Proficiency in IT Architecture & design, specifically in infrastructure automation, provisioning, and maintenance. Strong analytical skills with the ability to troubleshoot and resolve technical issues effectively, even under pressure. Familiarity with IaC (e.g., Terraform) and strong proficiency in Python. Linux command line tools and shell scripting. Experience with building IT systems in regulated environments. Integration and Automation Expertise: Knowledge of CI/CD processes and experience in building and deploying integration solutions (Azure DevOps, GitHub Repos, and GitHub Actions). Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders. Experience with API management and/or design will be appreciated. Intercultural Competence: Ability to work collaboratively in a multicultural environment, respecting diverse perspectives and fostering teamwork, establishing and maintaining a robust professional network. Language Proficiency: Fluent in English, both spoken and written.

What we offer includes: A flexible, hybrid work model. Great workplace in a new modern office in Warsaw. Career development, 360° Feedback & Mentoring programme. Wide access to professional development tools, trainings, & conferences. Company Bonus & Reward Structure. VIP Medical Care Package (including Dental & Mental health). Holiday allowance ('Wczasy pod gruszą'). Life & Travel Insurance. Pension plan. Co-financed sport card. FitProfit. Meals Subsidy in Office. Additional days off. Budget for Home Office Setup & Maintenance. Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5, and Xbox Series X consoles setup with premium game passes, and massage chairs. Tailored-made support in relocation to Warsaw when needed.

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Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

In this role, you will be an approachable and supportive team member with a collaborative attitude within a demanding, maturing Agile environment.

You will have great communication skills, conveying your thoughts, ideas, and opinions clearly and concisely face-to-face or virtually to all levels up and down stream.

Regularly, you will demonstrate qualities such as drive, motivation, determination, dedication, resiliency, honesty, and enthusiasm.

You will be culturally aware and sensitive, and be flexible under pressure.

Strong analytical and problem-solving skills are required, along with excellent verbal and written communication skills.

To be successful in this role, you will need:

• 8+ years of hands-on expertise in RPG400/IV, RPG Free, CL, SQL, Embedded SQL, Query & ILE

• Recent and advanced experience with RPG (ILE/FREE) using Procedures, Service Programs, and Functions

• A strong understanding and working experience with CI/CD and available tools, such as Jenkins, Sonar, RDI

• Working experience in an agile environment

• The ability to quickly acquire new skills and tools

• The ability to resolve critical issues in a timely manner

• Experience releasing to production what you developed and then supporting it

• Hands-on experience of Application Design & Development in BFSI/Banking domain is desirable

• Change management experience and familiarity with a change management tool

• Understanding of DevOps concepts and techniques

You’ll achieve more when you join HSBC.

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As a Consultant Specialist, you will be responsible for understanding release cycles within GPE and aligned testing associated with it. You will also manage the release deployment on various environments, manage automation initiatives required for the stable functioning of the environments like healthchecks / monitoring, triage and escalate High priority Incidents to get focused resolutions, reduce overall downtime for end-to-end testing by identifying opportunities in environment upgrades, communicate with regional/country project teams, technical leads and Asset teams, drive root cause analysis with involved teams, analyse issues monthly and run continuous improvement cycles for incidents, raise engagement with partner application / other teams to facilitate the issue resolution, engage and drive resolution where necessary; aiding support to SME's from application teams to facilitate resolution, report updates for ongoing issues to stakeholders, including exec level management.

You will also be responsible for infrastructure management activities which comprise of critical vulnerability fixing, OS/DB/MQ patching, certificate renewals etc. Additionally, you will lead and mentor team to achieve above responsibilities successfully.

Knowledge & Experience / Qualifications:

• Must have strong UNIX and shell scripting experience.
• Basic knowledge on middleware products like WAS/MQ.
• Experience of DevOps tools like Jenkins, GITHUB etc.
• Experience of Control-M, Connect Direct (C:D).
• Experience of deployment / change pipelines like CI / CD.
• Flexible to work in shifts, on weekends, after work hours and on call support as per the need of the project.
• Good understanding of the Payment schemes and e2e flows for US scheme payments.
• Strong communication skills (verbal, written, and presentation of complex information and data).
• Stakeholder Management and working in dynamic environment

Time management - Ability to prioritize project criticality based on requirements and business needs. Strong analytical skills supported by good decision making and problem solving skills & attitude. Ability to work independently with a hands-on approach. Good project management skills. Knowledge of programming language such Java or Python. Knowledge Automation tools. Knowledge of multiple clearing systems. Hands on experience of CI/D pipelines /51/LP/WX

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This role involves delivering targets under tight deadlines, identifying opportunities for system or process improvements, operating large-scale bioprocess equipment, and performing experiments.

Key responsibilities include:

• Operating, monitoring, and maintaining fermentation equipment at laboratory and pilot scales up to 300 L
• Working in various areas and mission teams throughout R&D and Production Supply enabling key pipeline projects and business objectives of early phase to late phase projects
• Maintaining organisational capabilities as needed while intensifying the relationships between Bioprocess Design, R&D, Product Supply or other cross-divisional functions, bridging technology needs from process development through manufacture
• Coordinating Pilot Plant activities with key stakeholders throughout R&D and Product Supply to enable key project and business objectives of Bayer pipeline projects as well as already launched products
• Managing tech transfers from R&D to Product Supply and vice versa with special attention given to improvements in digitalisation and data access
• Conducting research and contributing to product and technical teams, technologies, publications, intellectual property, or trade secrets

The ideal candidate will possess a Bachelor's degree in a relevant field, strong biology/biotechnology/fundamental engineering acumen, and long-term experience in Bioprocess development.

Preferred qualifications include a Ph.D. with 6+ years of relevant experience or a Master's degree with a minimum of 10 years of relevant experience.

This role is available for application until at least April 17, 2026, and relocation may be offered.

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Your primary responsibilities will include performing assigned tasks, repairs, and services in a timely, efficient, and professional manner. You will also perform assigned preventative maintenance, maintain accurate and timely service records in a Computerized Maintenance Management System (CMMS), and read, understand, and follow technical service manuals.

In addition, you will adhere to company's HSE and QA/QC standards including all OSHA requirements, participate in DDS (Daily Direction setting) meetings, and alert senior technicians and leadership as needed when nonconformities in product or process variance occur.

You will engage in continuous improvement programs, identify opportunities to improve performance in accordance with production site and company goals, and maintain a clean and safe working environment.

This position entails driving a company vehicle (pooled or assigned to the individual), which may include being required to drive greater than 5,000 business miles annually in a personal, pooled, or rented vehicle OR being expected to frequently drive a pooled car as part of your job duties – regardless of mileage.

The ideal candidate will possess a high school diploma or GED, a valid driver's license, and the ability to obtain and maintain a Hazmat Certification within 90 days of hire. They will also have a CDL license (Class A or B) or the ability to obtain one within 1 year from date of hire.

Additional qualifications include the ability to lift, push, pull up to 60 pounds, work in and outdoors, and walk on uneven surfaces. The successful candidate will also have good verbal and written communication skills, results-oriented and good time management skills, and the ability to work effectively alone, with people individually, or in a team to achieve results.

If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now.

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