Your expertise will support critical business processes and compliance across multiple SAP systems.

**Key Responsibilities:*

Define and implement role and authorization concepts across SAP systems Create roles and custom authorization objects aligned with business needs Support and advise customers on authorization tools beyond SAP solutions Build and execute roles based on defined authorization concepts Validate roles with basic Segregation of Duties (SoD) checks Collaborate closely with functional consultants during authorization activities

**Qualifications:*

Bachelor’s or Master’s Degree in Business Administration, Economics, Engineering, Information Systems or equivalent education +7 years of professional experience with SAP Basis and authorization concepts Hands-on experience across different SAP systems in private and public cloud Ability to design and implement scalable solutions for large organisations Familiarity with Segregation of Duties (SoD) principles Excellent communication and collaboration skills Professional demeanour with a strong customer focus Analytical and structured working attitude

**Good to know:*

Location: Remote across Mexico or hybrid when based in Guadalajara Type of contract: Unlimited Language: Fluent in English and Spanish Start: Flexible Working time: Full-time Consulting experience: Beneficial Valid US Visa and Mexican passport and availability to travel

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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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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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Your responsibilities will include:

• Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentoring software engineers ranging from new grads to experienced engineers.
• Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• A track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

This role may be eligible for additional benefits such as a commuter stipend.

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Key responsibilities include engineering, securing and optimizing cloud infrastructure, Identity and Access Management, Endpoints, Collaboration tools, and ensuring compliance with SOX, PCI DSS, and FedRAMP compliance. The Head of Corporate Engineering will work closely with R&D on managing engineering tools like Jira, Confluence, and GitHub, driving efficient adoption and integration.

Strong technical and influencing leadership principles coupled with the ability to manage a complex, scaling, and fast-moving enterprise environment are essential. This role reports directly to the Vice President, Infrastructure and Operations

Responsibilities:

In this influential role, you will be responsible for:

Securing the Enterprise: Working closely with Enterprise Security organization to harden and secure our cloud environments, secret management, collaboration tools, endpoints, SaaS environments, IAM tools, and more. Success measured in continuous improvement of our enterprise security hardening standards

Building and Scaling our Cloud Infrastructure: Your team will be responsible for establishing and implementing enterprise cloud infrastructure including establishing Infrastructure Provisioning, SRE services, 24/7 on-call support, Infra as Code, observability, and more. In addition, you will be responsible for managing cloud budgets, vendor management, and establishing cost optimization initiatives. Success is measured in increased developer velocity while securing & scaling the cloud infrastructure

Engineering Tooling: Partner closely with R&D teams to establish policies, configurations, run-books, SLAs, hardening, scalability and availability of engineering tools like Github, Jira, Atlassian, and more

Endpoint Engineering: Enable extreme automation for endpoint management with zero-touch deployment, observability (synthetic and real-time), provisioning/de-provisioning, and establishing standards / SLAs. Enforce security policies, configure & manage security settings and ensure compliance across all endpoints and mobile devices. Success is measured in terms of end-user satisfaction and % of manual touch

Collaboration Management: Ensure we provide world class tools to our employees to be extremely productive and collaborative. This would include but not be limited to managing and scaling internal workplace products like Gmail, Slack, Atlassian, Moveworks, Glean, and more. Success is measured by user satisfaction

Identity & Access Management: Manage the IAM team from IAM implementation, access standards enforcement, SLA management, and compliance to various standards like FedRAMP, IL5, PCI, and more. Included are both internal and external identity providers to be managed. Success is measured by compliance, Identity governance, and availability

Desired Success Outcomes

A high-performing enterprise engineering team capable of handling complex technical projects with agility and high quality

Well defined cloud strategy ensuring the stability, scalability, and security of cloud infrastructure. Overhaul of current processes and workflows to address inefficiencies and increase team velocity

Robust endpoint security with Implementation of comprehensive security measures for all endpoints, including Mac, Windows, and mobile devices

Deliver high-quality employee experience with productivity tools (Gmail, Slack, Atlassian tools, Moveworks, GitHub) with a robust forward-looking roadmap

Efficient operational support for Tier 3 IT services with minimized production incidents. Implementation of robust incident and change management processes with mature operational practice

Efficient and mature processes for system integrations related to Mergers and Acquisitions (M&As), ensuring timely smooth transitions during M&A integrations

Development and implementation of automation tools and frameworks, Identification of automation opportunities to reduce manual toil and improve accuracy

Qualifications:

10 years of experience managing Cloud infrastructure at large enterprises. Extensive experience managing public cloud implementations in AWS. Experience with GCP and Azure will be a plus

In-depth understanding of Cloud native technologies to lead and guide the team. Must have hands-on experience in troubleshooting and debugging issues in production environments

Working experience in managing DevOps/SRE practices OKRs (Objective and Key Results), Agile development, Infra-as-code, SRE (Site Reliability Engineering), DevOps measurement such as DORA KPIs,

In-depth understanding of each collaboration tool's features, functionalities, and configurations (e.g., Gmail for email, Slack for messaging). Ability to identify and integrate and optimize the use of various tools for seamless collaboration (e.g., connecting Jira with GitHub for Dev metrics)

Experience leading a team of senior professionals working asynchronously in a remote, distributed team. Strong communication skills, with clear verbal communication and written communication skills

Collaborative style: partners well with cross-functional teams to solve hard problems and to complete complex deliverables with quality and business outcomes

Provide mentorship and guidance to team members to ensure that their skills and knowledge are kept up-to-date

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $265,000-$364,300 USD

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You are passionate about data and AI, love getting hands-on with technology, and enjoy communicating its value to both technical and non-technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof-of-concept phases, and act as a trusted advisor to our customers on their data and AI strategy.

You will help customers realize tangible, data-driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars, and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Fluent coding experience in Python or Scala implementing Apache Spark, Java, and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here.

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You will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You'll collaborate with cross-functional teams to define, design, and deliver new features. You'll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.

Ideally, you'd have 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. You should have extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). You should show a track record of independent ownership of successful engineering projects. You should possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

You should have experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. You should have experience with orchestration platforms, such as Temporal and AWS Step Functions. You should have experience with NoSQL document databases (MongoDB) and structured databases (Postgres). You should have strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice to haves include experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. Excitement to work with AI technologies is a must.

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Your primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.

Key responsibilities include:

• Providing meaningful input to technical designs and direct hands-on contributions to projects in the cloud networking space
• Growing, leading, and managing a small team of talented engineers
• Supporting your team's professional growth and maintaining high performance through mentorship and coaching
• Working with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb's cloud network infrastructure and related components
• Working with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services
• Building cross-region gateways and load balancers for global Airbnb services
• Working with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services
• Nurturing a culture of technical quality from design, through code review, to production
• Building strong partnership and alignment with teams across engineering
• Nurturing relationships with open source communities and external service partners

As a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).

Additionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.

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You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

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You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.

In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.

You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

• Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

• Big data engineering (Ex: Spark, Hadoop, Kafka)

• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

• Fluent in SQL and database technology.

• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

• Desired: Built solutions with public cloud providers such as AWS, Azure, or GCP

• Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

• Travel to customers in your region up to 30% of the time.

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You will collaborate cross-functionally with Product, Sales, Marketing, and Finance to drive alignment around our strategies and own the ongoing refinement and optimization of those strategies to support short- and long-term business objectives.

As an individual contributor, you will work with teams across the organization to troubleshoot pricing inconsistencies and identify opportunities for operational improvement.

This position reports to our VP of Product Management and has the opportunity to be based in our San Ramon Office with a hybrid schedule.

Key Responsibilities:

• Lead the development of pricing and packaging strategies, incorporating willingness to pay, product strategy, competitive differentiation, and financial analysis to ensure our pricing models maximize customer value and optimize revenue.

• Drive alignment and lead the operationalization of your strategies across Product, Sales, Marketing, and Finance.

• Analyze sales, customer, product, and financial data to identify opportunities, design and test those hypotheses, and foster a culture of fact-based decision-making.

• Partner with Product to understand product strategy and roadmap, supporting the product requirements process with market research and pricing and packaging considerations.

• Partner with Sales to understand the sales motion, customer feedback, and value-based buying decisions to reduce friction in the sales process.

• Monitor and measure pricing strategies to evaluate growth, uncover friction, and refine strategies over time, identifying opportunities to improve current processes and infrastructure.

• Create and manage systems and processes that enable analytics of list, discounting, and “street” pricing trends, including the expected mix of direct and channel (sell-with and sell-through) sales.

• Determine pricing in the company’s sell currencies, including policy for how these international prices are adjusted for local market dynamics and foreign exchange fluctuations.

• Study potential price elasticity, including cross-price elasticity within the company’s product portfolio and versus the company’s competitors.

• Perform periodic deep analysis of competitive pricing and determine how to best optimize the company’s pricing programs to maximize street price and gross margin for Dialpad.

• Develop strategies and agreement constructs that help us address customers’ unique requirements and win agreements at the right price and at scale.

• Work with various cross-functional teams to assess, define, optimize, and scale pricing opportunities for existing and new markets.

Requirements:

• 10+ years of experience as a pricing leader at a cloud software company or top-tier consulting firm with a focus on pricing engagements.

• Experience at a fast-growth, emerging cloud software company where you were responsible for creating and maintaining pricing optimization programs.

• Deep understanding of pricing governance, sales negotiation, and monetization strategies.

• Experience at a large, public cloud software company.

• An entrepreneurial mindset to guide best-in-class pricing practices across the company.

• A proactive influencer who can seek out new opportunities, drive projects, navigate ambiguity, and develop creative solutions with minimal guidance.

• Ability to collaborate and influence across different teams in the organization.

• Bachelor of Science, Bachelor of Administration, or equivalent. An advanced degree (e.g., MBA) is a plus, but not required.

Why Join Dialpad:

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

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We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect in the UAE Pre-Sales team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Create impactful and successful relationships with customer accounts in the United Arab Emirates, providing technical and business value to Databricks customers in collaboration with the extended team.

• Become the trusted advisor of your customer on the Data and AI landscape by successfully driving and delivering the adoption of the Databricks Data Intelligence Platform.

• Enabling Partners and support internal events in the MEA region.

• Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.

• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Experienced in customer interactions in a technical pre-sales capacity and adept in managing complex sales lifecycles.

• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.

• Ability to provide technical solutions for specialised customer needs, navigate a competitive landscape and effectively develop relationships to achieve long-term customer success.

• Hands-on expertise with complex Big Data architecture design for public cloud platform(s) solutions, focusing on use cases in Data Warehousing and Data Engineering architecture and implementation.

Data Science and Machine Learning skills will be advantageous.

• Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™.

• Experience and skills on the Databricks platform will be highly advantageous for the role!

• Excellent communication skills in English required as a minimum. Fluency in Arabic will be highly preferable for the position.

Key Notes:

• Location for the role will be in Paris (i.e. within a commutable distance for a hybrid schedule).

• You will need to be flexible and willing to travel to the United Arab Emirates for customer visits on a regular basis (i.e. up to ~2 weeks per month).

• We are seeking a candidate that will be interested in a future relocation to the region (Dubai) when an office is opened.

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Responsibilities:

• Develop and maintain software, tooling, and automations to ensure the reliability and scalability of our global infrastructure.

• Lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure.

• Collaborate with engineers to identify, implement, and deliver solutions that meet the needs of our customers.

• Champion an environment focused on collaboration, operational excellence, and uplifting others.

• Respond to and prevent repeated customer impact in response to major incidents and prioritized problem management.

Requirements:

• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability.

• Background in software engineering to collaborate with engineers to expertly identify, implement, and deliver solutions.

• Experience in public cloud and managed Kubernetes services is advantageous.

• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Preferred Qualifications:

• Operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.

• Built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

• Written non-trivial programs in Golang or other programming languages.

• Worked with containerized services (such as Docker).

• Proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying levels of the organization.

• Experienced in system administration with professional skills in Linux on distributed systems at scale.

• Diagnosed or designed, implemented, and created solutions with the Elastic Stack.

• Thrived in a self-organizing and sharing in a globally distributed team environment.

• Strengthened team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation:

• This role is eligible to participate in Elastic's stock program.

• Total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

• Typical starting salary range for this role is $154,800-$195,600 USD.

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Every day as a Solution Architect is different. You will utilize both technical and business skills to advise customers and sales teams, support strategic opportunities, architect innovative solutions, and develop proofs of concept / demonstrations.

Your technical knowledge of Cloudflare's products and system design will be vital to designing solutions that meet our customers' needs and expectations. Serving as a trusted technical advisor, Solution Architects guide and enable clients, partners, and teams within Cloudflare on product capabilities, positioning and competitive intelligence.

You will form a tight feedback loop with product, product marketing, and technical pre-sales to refine and evolve our products.

The ideal candidate possesses a consultative mindset, demonstrable success working with customers, and deep, practical knowledge of modern web technologies, cloud architecture, and experience building on a distributed serverless platform.

No matter your background, you have natural curiosity and desire to solve problems, achieve goals, and design the most elegant and efficient solutions to address client needs.

A successful Solution Architect at Cloudflare is able to act as a trusted advisor for our customers, while balancing the technical and business needs of the role – actively building and regularly presenting technical solutions to varied audiences.

Responsibilities:

• Partner with the sales organization to drive revenue, new customers and pipeline of AI and Developer Platform solutions.

• Lead technical discovery with customers and jointly architect best practice solutions to meet customer needs.

• Collaborate with cross-functional teams including product management, sales, and marketing to drive developer platform revenue and customer adoption.

• Present to strategic customers as an expert of our Developer Platform solutions.

• Align Director and C-Level perceived business and technical value with Cloudflare developer solutions.

• Provide succinct feedback to cross-functional teams to deliver relevant Developer content, use cases, customer stories, and data driven value propositions.

Skill Requirements:

• 5+ years of experience selling or supporting technical sales in the cloud computing industry.

• Deep technical expertise across cloud infrastructure and AI/ML , you have built production systems that combine both as a solutions engineer, entrepreneur, or solution architect.

• In-depth knowledge of at least one major public cloud provider (e.g., AWS, GCP, Azure).

• Practical knowledge and experience designing systems. You have built and deployed a production web application either professionally or as a hobbyist and are able to clearly articulate the design and explain the considerations / trade-offs.

• Software development experience delivering full-stack applications, preferably using modern JavaScript frameworks, a variety of databases, and Serverless tooling.

• Strong understanding of developer workflows (branching, versioning, CI/CD practices, system integrations).

• Knowledge of key market players/competitors in the cloud computing, AI and storage spaces.

Other desirable skills areas include:

• You’ve built something on Cloudflare Workers.

• AWS Solutions Architect or GCP Cloud Architect certifications

• Providing structured customer feedback to influence product direction.

• Actively stay up-to-date with industry trends and advancements in cloud computing to inform product strategy and roadmap.

Compensation:

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

For Bay Area based hires: Estimated annual salary of $212,000.00 - $292,000.00

Equity:

This role is eligible to participate in Cloudflare’s equity plan.

Benefits:

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits:

• Medical/Rx Insurance

• Dental Insurance

• Vision Insurance

• Flexible Spending Accounts

• Commuter Spending Accounts

• Fertility & Family Forming Benefits

• On-demand mental health support and Employee Assistance Program

• Global Travel Medical Insurance

Financial Benefits:

• Short and Long Term Disability Insurance

• Life & Accident Insurance

• 401(k) Retirement Savings Plan

• Employee Stock Participation Plan

Time Off:

• Flexible paid time off covering vacation and sick leave

• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo:

Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project:

In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration.

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The Ads Foundations organization is responsible for the technical backbone powering Ads Monetization at scale. Within this ecosystem, efficient resource utilization is critical.

We are seeking a Senior Staff Engineer to serve as the Cloud Resources Technical Owner for the Ads Domain. You will be the primary engineering point of contact for the Senior Director in Ads and Cloud Operations/Resources (COR & Opex) stakeholders.

Responsibilities

Technical Vision & Strategy

• Define and drive the technical strategy for Cloud Resource management within Ad first, ensuring that cost accountability is built into the architecture of our systems.
• High-Fidelity Investment Modeling: Elevate cloud estimation from guesswork to a rigorous engineering discipline. You will lead the high-quality forecasting of new cloud investments and efficiency projects, designing data-driven models to validate technical ROI before builds happen
• Design and implement a roadmap for Cost Observability 2.0, moving beyond simple reporting to real-time, service/team-level spend attribution and automated anomaly detection.

Engineering & Tooling Leadership

• Design and build internal platforms that programmatically enforce PnL accountability. You will engineer (or collaborate with Core Infrastructure partners) to deliver the dashboards, alerts, and governance tools that every Ads team relies on to manage their cloud footprint.
• Architect automated frameworks for validating cost estimates and forecasting, replacing manual spreadsheets with data-driven software solutions.

Scale & Optimization

• Fight for observability by instrumenting deep telemetry into our cloud infrastructure. You will be hands-on in identifying inefficiencies (e.g., underutilized clusters, uncompressed data flows) and re-architecting critical paths for cost reduction.
• Lead the technical validation of vendor and 3rd-party tool integration, ensuring we extract maximum engineering value from every dollar spent.

Cultural & Technical Stewardship

• Act as a role model for the Ads domain and the wider company. You will set the standard for how engineering teams think about Cost as a Non Functional Requirement, eventually scaling these patterns to other domains.
• Partner with Finance and Engineering leadership to translate Cloud Spend into actionable engineering tasks (e.g., refactor Service X to use Spot instances).

Requirements

• 10+ years of software engineering experience, with a strong focus on public cloud infrastructure (AWS/GCP/Azure) and large-scale distributed systems.
• Engineer-First Mindset: You are comfortable writing code (Go, Python, Java) to solve infrastructure problems. You don't just ask for a report; you build the API that generates it.
• Deep Cloud Expertise: You have mastery over Kubernetes, container orchestration, and cloud-native storage, understanding exactly how architectural choices impact the bottom line.
• Operational Excellence: Proven track record of building observability pipelines (Prometheus, Grafana, Datadog) that drive operational and financial alerts.
• Influential Leader: Skilled at driving clarity in ambiguous spaces. You can convince a Principal Engineer to refactor their service for cost efficiency because you can prove the technical and business value.

Bonus Points

• Experience building custom FinOps tooling or internal developer platforms.
• Background in performance engineering or capacity planning for high-traffic ad tech environments.
• Contributions to open-source projects related to cloud efficiency or observability.

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You will have the chance to define and influence large infrastructure initiatives such as global traffic load balancing and disaster recovery, next-gen service mesh, cross-region gateways, and edge security. Airbnb is a member of the Cloud Native Computing Foundation (CNCF) end-user community, and we work closely with the open-source community (e.g., k8s, istio) and peer companies to tackle cloud-native engineering challenges at scale.

In this role, you will:

• Work with open-source communities (e.g., istio) to build the next-generation service mesh for all Airbnb back-end services;
• Build cross-region gateways and load balancers for global Airbnb services;
• Work with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services;
• Design the multi-region network architecture on public clouds and build software and operation tools to manage Airbnb's production network;
• Work with product and engineering teams to optimize the network performance for Airbnb services;

You will be a full-cycle developer with strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle. You will have excellent communication skills and the ability to work well within a team and with teams across the engineering teams.

You will be passionate about efficiency, availability, technical quality, and system quality. You will have led a team that is on-call for production infrastructure before.

If you are passionate about building scalable and reliable systems, and you want to make an impact on the industry and open-source communities, then we want to hear from you!

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Descript is on a mission to make audio and video content creation and editing fast, easy, and accessible to all. We are building a cutting-edge media editor incorporating real time collaboration, ground-breaking UX, and cutting-edge AI.

Job Description

As a Senior Infrastructure Engineer, you will drive projects that let engineers better understand and improve the performance, availability, and quality of what they ship. You will be owning and improving the core production infrastructure and building blocks upon which other engineers depend.

Responsibilities

• Develop technical and business solutions that enable engineers to improve the quality and reliability of product features and systems that they build.
• Drive improvements to the reliability of our core infrastructure, such as production clusters, networking, databases, and observability systems.
• Champion best practices during reviews of code, technical designs, and launch plans.
• Own our incident management and fire drill processes.
• Work with engineering leadership to set goals and prioritize production reliability.

Requirements

• 5+ years experience in production/site-reliability engineering OR 5+ years of server-side software engineering with an interest in working on core infrastructure
• A solid understanding of at least two of: public cloud infrastructure, Linux systems administration, and DevOps tooling.
• Basic coding skills to work on automation and technical guardrails.
• Strong written and verbal communication skills, and the ability to collaborate with other functions
• Experience mentoring engineers, including code reviews, architecture discussions, and leadership skills

Nice to Have’s

• Experience with:

+ TypeScript + Kubernetes + Google Cloud Platform + Terraform

The base salary range for this role is $191K-$250K.

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Collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

You will take an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. You will grow our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.

You will collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer-first approach in solving operational problems for both today and the future.

Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform

You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

You have written product features or functions in Golang or other programming languages.

You have worked with containerized services (such as Docker).

You have proven results in leading and improving cross-team engineering initiatives.

You have experience in system administration with professional skills in Linux on distributed systems at scale.

You have diagnosed or designed, implemented and created solutions with the Elastic Stack.

You are experienced in a self-organizing and sharing in a globally distributed team environment.

You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $189,800-$232,900 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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The company's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control centre.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion and networking technology to the military in months, not years.

We are seeking a mission-driven Cloud Infrastructure Engineer to take a leading role in designing and implementing world-class defensive controls. This is a high-impact role with the autonomy to shape security architecture and protect the technology that is changing the future of defence.

Key Responsibilities:

• Design and Own Security Architecture: Architect, build and deploy robust, scalable security controls for our corporate, development and production cloud environments (AWS, Azure, GCP).

• Automate Everything: Develop and automate infrastructure-as-code (IaC) to manage and scale our cloud deployments securely and efficiently.

• Proactively Defend: Continuously monitor, identify and remediate security weaknesses and configuration drift across our entire cloud footprint.

• Be a Force Multiplier: Partner with infrastructure, application and product teams to embed security best practices into their workflows and secure environments holding mission-critical data.

• Enable Scale and Reliability: Engineer systems and processes that ensure our platforms are highly available, resilient and prepared for rapid growth.

• Serve as a Cloud Security Expert: Act as the go-to subject matter expert for teams across Anduril, providing guidance, mentorship and paved-road solutions for building securely in the cloud.

Requirements:

• Proven experience building and securing complex cloud environments, typically gained through 3+ years in a Cloud Security, DevOps or SRE role.

• Deep proficiency in at least one major cloud provider (AWS, Azure or GCP).

• Strong hands-on experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Bicep).

• Solid programming/scripting ability in one or more languages (e.g., Python, Go, Rust).

• Firm understanding of public cloud networking principles (e.g., VPCs, subnets, routing, security groups).

• Must be a U.S. Person and eligible to obtain and maintain a U.S. Top Secret security clearance.

Preferred Qualifications:

• Experience hardening and monitoring Kubernetes clusters (EKS, GKE, AKS).

• Experience with cloud security posture management (CSPM) or threat detection tooling.

• Familiarity with CI/CD pipelines and securing the software supply chain.

• Knowledge of compliance frameworks such as FedRAMP, MRL, SOC 2 or CMMC.

• On-premises network engineering experience.

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Key responsibilities include:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure.
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling, and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritized problem management.

Requirements include:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions.
• Experience in public cloud, Go, and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Bonus points include:

• Designing and building a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.
• Building Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• Writing product features or functions in Golang or other programming languages.
• Working with containerized services (such as Docker).
• Proven results in leading and improving cross-team engineering initiatives.
• Experience in system administration with professional skills in Linux on distributed systems at scale.
• Diagnosing or designing, implementing, and creating solutions with the Elastic Stack.
• Experienced in a self-organizing and sharing in a globally distributed team environment.
• Strengthening team members in bringing out the best of each other by uplifting others with coaching and mentoring.

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You'll lead and develop a high-performing team focused on securing GitLab's internal cloud infrastructure (e.g. internal tooling and Sandbox) and our FedRAMP-authorized SaaS offering, GitLab Dedicated for Government.

You'll redefine the benchmark for Infrastructure Security through relentless advocacy of our Core Values and Dogfooding.

You'll maintain strong partnerships with peers across GitLab (e.g. Infrastructure, Finance, Product, and Legal) to ensure that the team can contribute effectively to cross-functional initiatives, building security in from the foundation upward.

When required, you'll leverage your extensive infrastructure experience and conflict resolution skills to unblock decisions.

You'll collaborate with the Product Security Leadership to develop and refine the Infrastructure Security vision and strategic roadmap.

Key Responsibilities:

Contribute to the Infrastructure Security team's vision and strategic roadmap Serve as a stable counterpart to teams such as Public Sector SRE, providing infrastructure security guidance and partnership Provide professional guidance and input on infrastructure security within and outside of your team Collaborate with other security teams in support of cross-team security efforts, process improvements, and driving down risk across the organization Build collaborative cross-functional partnerships with teams across Infrastructure Engineering, Engineering and Development, Product Management, and Legal Manage an existing high-performing team of infrastructure security professionals and hire new members as appropriate Lead and mentor your team by helping grow their skills and experience, fostering a culture of continuous improvement, holding regular 1:1s, and being your team's role model in exemplifying GitLab company values Establish and implement security policies, procedures, standards, and guidelines in support of infrastructure security Fulfill the Product Security Division Mission of securing GitLab Infrastructure with our own product ('dogfooding')

Requirements:

Hands-on public cloud security experience (GCP or AWS), ideally with SRE background Practitioner-level CI/CD, Docker, Kubernetes, cloud-native, and serverless experience Track record of leading and implementing infrastructure automation in service of security (e.g. Chef, Ansible, Terraform) Experience managing infrastructure security in regulated environments (e.g. FedRAMP, PCI) Solid grasp of the current threat landscape, distributed architectures, infrastructure-level systems design, and threat modeling Strong written, verbal, and presentation skills across a range of stakeholders Comfortable operating in a remote, async, distributed environment with ambiguity and shifting priorities Experience managing and developing teams of 5+ Alignment with GitLab's values and Leadership at GitLab manager responsibilities

Due to government requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to fill this position. The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

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We’re looking for an Intermediate Infrastructure Security Engineer to further our automation efforts in support of our GitLab Dedicated for Government product offering. You’ll have the opportunity to contribute to tooling that operates our FedRAMP environment, identify and develop remediations for infrastructure vulnerabilities, and partner with more senior engineers to review upcoming project architectures to ensure that they are built to the rigorous standards we hold.

Support the Public Sector SRE team as a stable counterpart, identify and help mitigate security issues, misconfigurations, and vulnerabilities related to GitLab’s cloud, container and Kubernetes infrastructure, build tooling to increase our visibility into environments to expedite vulnerability detection, own efforts securing GitLab's FedRAMP environment, support other security teams as an Infrastructure SME, document best practices and remediations to help engineers learn from common vulnerability types, partner with senior engineers to review new architectures and projects and provide feedback cross-functionally, fulfill the Product Security Division Mission of securing GitLab Infrastructure with our own product (“dogfooding”).

To be successful in this role, you will need to have hands-on experience with public cloud providers (ex. AWS, GCP, Azure), development experience with Ruby, Python, Go, experience with Infrastructure-as-Code (IaC) tools (ex. Terraform, Ansible, Chef), knowledge of the Linux operating system, familiarity with containers (Docker) and orchestration platforms (Kubernetes), an interest in Information Security, demonstrated experience working collaboratively with cross-functional teams, proficiency to communicate over a text-based medium (Slack, GitLab Issues, Email) and can succinctly document technical details, share our values, and work in accordance with those values.

Due to government requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to fill this position.

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Your impact will be significant, ensuring new customers have an excellent experience by providing technical assistance early in their journey. You will become an expert on the Databricks Platform and guide customers in making the best technical decisions. You will also work directly with multiple customers concurrently to provide technical solutions.

To succeed in this role, you will need:

• An undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• 1+ years experience in a technical role, preferably in the data or cloud field
• Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP
• Knowledge of a programming language such as Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following: Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow), Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication

Bonus: Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

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Your expertise will be crucial in defining and influencing large infrastructure initiatives such as global traffic load balancing and disaster recovery, next-gen service mesh, cross-region gateways, and edge security. You will have the opportunity to make an impact on the industry and open-source communities.

In this role, you will:

• Work with open-source communities to build the next-generation service mesh for all Airbnb back-end services
• Build cross-region gateways and load balancers for global Airbnb services
• Work with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services
• Design multi-region network architecture on public clouds and build software and operation tools to manage Airbnb's production network
• Work with product and engineering teams to optimize network performance for Airbnb services

To be successful in this role, you will need:

• 5+ years of relevant software development industry experience in a fast-paced, high-growth tech environment
• Expertise with network architecture on public cloud providers (e.g., AWS, GCP, Azure) and their network service offerings (e.g., VPC, Security Group, PrivateLink, and related products)
• Experience running large-scale networking systems and software (e.g., edge proxies, DNS, CDN, network gateways), experience working with Istio, Envoy is a plus
• Strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle
• Excellent communication skills and the ability to work well within a team and with teams across the engineering teams
• Strong problem-solving skills and the ability to lead a team that is on-call for production infrastructure
• Passion for efficiency, availability, technical quality, and system quality

This position is US-Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.

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You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem

• Engage with the partner technical community by leading workshops, seminars, and meet-ups

• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network

• Show expertise by producing creative technical solutions and blog posts

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets

• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Coding experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

• Native-level fluency in Korean and professional working proficiency in English (both written and verbal)

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In this role, you will lead the architecture and development of performance profiling and instrumentation infrastructure, covering CPU, GPU, memory, request hot paths, utilization, and deployment events, making these capabilities available to all backend teams.

You will partner with infrastructure teams across compute, reliability, backend frameworks, and AI Infra to ensure the fleet operates at optimal utilization.

You will connect performance outcomes to business objectives and company-wide SLOs, and guide engineering teams in keeping the stack scalable and efficient.

You will evaluate emerging hardware and software technologies, engage with the external solutions ecosystem, and advise on build vs. buy decisions in areas of strategic importance.

As a mentor and technical leader, you will uplevel engineers across the organization through design reviews, architectural guidance, and performance best practices.

To be successful in this role, you will need to have 12+ years of performance engineering experience in high-scale, high-growth production environments.

You will need to have a deep understanding of how software and hardware systems interact at scale, including architectural patterns for performance-critical stacks.

You will need to have strong familiarity with public cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).

You will need to have experience with profiling and instrumentation tooling across CPU, GPU, memory, and distributed request tracing.

You will need to have demonstrated ability to define performance objectives and drive delivery against company-wide SLOs across multiple organizations.

You will need to have strong communication and influence skills; comfortable driving technical direction with senior engineering and product leadership.

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As a Senior Security Engineer, you will be a hands-on practitioner responsible for detecting, investigating, and responding to security threats across our cloud-native platform. You'll play a critical role in our day-to-day security operations triaging alerts, leading incident investigations, managing vulnerabilities, and continuously improving our detection capabilities.

This role is ideal for someone with strong security analyst fundamentals who is eager to grow their engineering skills and contribute to building and improving security tooling over time. You will collaborate closely with engineering, infrastructure, and product teams to ensure security is woven into everything we build.

Responsibilities

• Serve as a frontline responder for security incidents , triage alerts, lead investigations, coordinate cross-functional response efforts, and drive post-incident reviews and remediation
• Monitor and tune security tooling and detection rules to identify threats across our cloud infrastructure and applications; reduce false positives and improve signal quality
• Perform proactive threat hunting to identify attack patterns, anomalous behavior, and gaps in detection coverage
• Support and maintain security controls across our AWS environment, including monitoring for misconfigurations, access issues, and infrastructure risks
• Contribute to building and improving security automation, scripts, and internal tooling to reduce manual overhead and enhance operational efficiency; grow into deeper engineering contributions over time
• Own the enterprise vulnerability management program, establishing risk-based prioritization frameworks and driving organization-wide remediation strategies
• Spearhead AI/ML integration and automation initiatives to transform security operations, reduce manual overhead, and enhance detection capabilities
• Assist with and contribute to AI-driven security initiatives and automation efforts within the team
• Support ongoing security compliance, audit, and certification programs (e.g., PCI, SOC2)
• Work closely with engineering, infrastructure, and product teams to provide security guidance and support security-by-design practices
• Participate in team knowledge sharing, document runbooks and playbooks, and contribute to continuous improvement of SecOps processes
• Participate in on-call rotation and serve as a first responder to security event escalations

Requirements

• 6+ years of experience in security operations, incident response, or a security analyst role, preferably in cloud-centric environments
• Strong hands-on experience with incident response and investigation alert triage, forensic analysis, root cause determination, and remediation
• Solid understanding of common attack vectors, threat intelligence fundamentals, and attacker tactics, techniques, and procedures (TTPs)
• Working knowledge of cloud security fundamentals (AWS) IAM, VPC, CloudTrail, GuardDuty, Security Hub, or equivalent services
• Familiarity with TCP/IP protocols, network analysis, and common network/security tooling (SIEM, EDR, IDS/IPS)
• Demonstrated ability to identify exploits, vulnerabilities, and misconfigurations and drive remediation in cloud and server environments
• Growth mindset genuine interest in developing engineering skills (scripting, automation, tooling) and growing beyond a pure analyst role
• Ability to participate in an on-call rotation and respond to security event escalations
• Team player comfortable collaborating across India and US teams (primarily PST timezone)

Nice to Have

• Experience with scripting languages (Python, PowerShell, etc.)
• Experience with public cloud security (AWS, Azure, GCP)
• Red/Blue team experience
• Security certifications (e.g., CISSP, Security+, CEH, GIAC)

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Privy is a developer tooling company that empowers users to take control of their online presence. We're looking for an experienced Engineering Manager to lead and grow a team of Infrastructure engineers.

Responsibilities

• Lead and grow a high-performing team of Infrastructure engineers
• Drive the future vision of infrastructure alongside talented infrastructure engineers
• Hold the team accountable to excellence in quality, throughput, and performance
• Ensure the team is working on the right scope of work and projects, align decisions with business impact
• Fill gaps as a player-coach; review PRs, write and review design docs, investigate incidents
• Coach engineers towards growth and their career goals

Benefits

• Competitive salary and benefits package
• Opportunity to work with a talented team of engineers
• Collaborative and dynamic work environment

Requirements

• Deep ownership and a high-level perspective on driving overall business impact
• Performance-oriented mindset, with a high bar for quality and excellence
• Technical excellence to be able to independently evaluate quality and technical feedback
• High emotional maturity, insightfulness, and care
• Strong past experience as a manager and leader

Preferred Qualifications

• Experience with designing and operating systems supporting hundreds of millions of users
• Secure enclave platforms, like AWS Nitro Enclaves
• Observability, incident response, capacity planning, performance tuning, and infrastructure automation (IaC, CI/CD for infra)
• Background in building low-latency, high-throughput systems for trading or payment processing
• Any blend of public cloud/BYOC architectures

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What we're all about.

Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future. At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

We're heading in one direction, the future. We'd love you to join us.

At Quantexa we believe that people and organisations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence. Contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organisations - all in one place - so you gain the context you need to make more accurate decisions, faster.

What will you be doing?

You'll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions. The platform is comprised of a landscape of low-maintenance, on-demand, and highly secure environments. Our environments host our software for our customers and partners to use, they also service a variety of internal use cases including underpinning the work of our R&D teams to develop Quantexa Platform software.

You'll be heavily involved with our cloud-based technical infrastructure, with responsibilities surrounding improving the availability and resilience of our platform, improving its usability and security, ensuring we stay at the forefront of technical innovation, and reducing toil across our estate.

You will also work alongside our software engineering teams to leverage DevOps techniques to support our software release activities and work on unique cloud-based product offerings for our customers to use in their own DevOps processes on their own Cloud estate.

Our tech stack

• A strong focus on Kubernetes & GitOps, utilising tools like ArgoCD and Istio
• Infrastructure Management - CasC, IasC (Terraform, Docker, Ansible, Packer)
• Hybrid public Cloud, primarily GCP & Azure, but also some AWS
• DevOps tooling/automation with the best tool for the job, commonly Bash, Python, Groovy, Golang
• Provisioning stack includes Elasticsearch, Spark, PostgreSQL, Valkey, Airflow, Kafka, etcd
• Log and metric aggregation with Fluentd, Prometheus, Grafana, Alertmanager

Requirements

We are looking for candidates who:

• Take pride in designing, building and delivering high quality well engineered solutions to complex problems
• Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
• Commercial or non-commercial experience with programming/scripting/automation
• Good appreciation for information security principals

Experience in the following would be beneficial:

• Experience with infrastructure management and general Linux administration
• Experience with software build and release engineering
• Exposure to a handful of the key parts of our tech stack listed above

Benefits

Why join Quantexa?

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

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Job Responsibilities

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engage with Product and various partner teams for business and technical requirements.
• Drive the review of the technical design and implementation of the team.
• Leverage latest AI technology and LLM to tackle challenging technical issues.
• Research on how to leverage AI for driving the automation transformation.
• Set an example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Work with the team to migrate the existing system to a new tech stack.

Pre-Requisites

• Bachelor's or Master's degree in Computer Science, Math, Physics, or other technical fields.
• Experience in E-Commerce Java based core system design and implementation.
• Experience in leveraging AI and various LLM for driving automation transformation and adoption.
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test.
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in .Net system is a plus.
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS.

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We're looking for a Senior MLE to join our Machine Learning Recall team. As a Senior MLE, you will help us build and optimize ML/DL models to improve customer experience by providing the best results in terms of relevancy and marginality.

Role Overview

In the second part of 2025, we plan to focus our attention on three key areas:

• Recall: we don't want to lose good results
• Visual solutions: we would like to deliver end-to-end visual solutions for our customer, including (but not limited to) image search, shop the look, visual recommendations, etc
• Technical platform: we have many different technologies/models inside a team, and we would like to allow other teams to use them widely and integrate in their pipelines

Challenges You Will Tackle

• Build and deploy robust ML systems for search (including text/image & multimodal approaches, etc)
• Tune LLMs to improve our system in different aspects, not limited to what we already have
• Improve business KPIs by using new techniques/models and validating hypotheses
• Collaborate with other technical teams to exchange experiences to improve the overall Constructor.io system
• Be responsible for what you and your team do

Requirements

• 3+ years of professional experience in applied machine learning
• Excellent NLP knowledge (especially transformer-based approaches)
• Comprehensive knowledge of classical machine learning
• Extensive Python knowledge
• Experience with any DL framework (we’re using torch)
• Experience with any SQL dialect (we’re using SparkSQL, MySQL and a couple more dialects)
• You have delivered production ML systems
• Proficiency with big data stack for end-to-end ML product development (we’re using Pyspark for most of our pipelines)
• You are able to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
• Proactivity: you can't close your eyes to problems, but are ready to solve them
• You are friendly and willing to help your teammates & others
• Nice to have:

+ Experience designing, conducting, and analyzing A/B tests + Experience with Rust (or C/C++) + Experience with a public cloud like AWS, Azure, or GCP + Strong knowledge of data structures, algorithms and their trade-off + Empathy + Ability to explain difficult concepts + You love to work on performance optimization, such as increasing result quality and improving code performance

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary
• Regular team offsites to connect and collaborate

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Your key responsibilities will include:

• Proactively driving the design and implementation of the Razer Gold core backend system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Leading the team to tackle challenging technical issues.
• Helping the team to grow and prepare for foreseeable technical challenges.
• Setting an example by building high-quality code with unit tests and automation tests.
• Staying on top of any critical issues and driving to the finish line.
• Leading the team to migrate the existing system to a new tech stack.

Razer offers a unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.

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At Microsoft AI, we deliver exceptional products and services that empower users to be more productive and efficient.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation.

You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation.

Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile.

You will collaborate closely with teams across Microsoft AI to assess Copilot’s relevance, performance, trustworthiness, and visual appeal.

Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps.

The possibilities are endless.

Responsibilities:

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.

• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.

• Designing pipeline architecture to ensure rapid iteration and scalability.

• Conducting post-analysis of labeled data and developing dashboards to visualize insights.

• Collaborating closely with the product team to enhance quality and address gaps.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python OR equivalent experience.

• 2+ years’ experience with SQL, PostgreSQL or MySQL

• 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

• Extensive use datastores like RDBMS, key-value stores, etc.

• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code

• HTML, CSS, JavaScript, ASP.NET, REST, jQuery

• Familiarity with browser automation tools like Selenium, Puppeteer or Playwright

• Familiarity with mobile automation tools like Appium

• Familiarity with LLMs and AI ChatBots Prompt Engineering

• Azure DevOps, GIT

• Azure Open AI, Azure Foundry

• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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You will work closely with Product Managers, Designers, and Engineers to ship end to end features, influence architecture decisions, and raise the quality bar across the team.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures.
• Apply solid JavaScript expertise to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites.
• Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints.
• Implement AI-forward product features and use AI-assisted engineering tools within the SDLC, applying solid engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability.
• Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact.
• Collaborate closely with product team to ship end-to-end features, contribute to architectural discussions, and uphold a high quality bar.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• 2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP
• Solid expertise in JavaScript / TypeScript, HTML, CSS and browser internals
• Solid understanding of web performance, accessibility, and cross-browser compatibility
• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code
• Familiarity with LLMs and AI ChatBots Prompt Engineering, Azure DevOps, GIT
• Solid problem-solving skills and ability to work independently
• Experience in leading technical projects and supporting architectural decisions with data.

#MicrosoftAI Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

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Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

Responsibilities Reliability & Availability : Ensure uptime, resiliency, and fault tolerance of HPC clusters powering MAI model training and inference. Observability : Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into all aspects of HPC systems including GPU, clusters, storage and networking. Automation & Tooling : Build automation for deployments, incident response, scaling, and failover in CPU+GPU environments. Incident Management : Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements. Security & Compliance : Ensure data privacy, compliance, and secure operations across model training and serving environments. Collaboration : Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Qualifications Required Qualifications Master’s Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering OR Bachelor’s Degree in Computer Science, Information Technology, or related field AND 4+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering OR equivalent experience

Preferred Qualifications Strong proficiency in Kubernetes, Docker, and container orchestration. Knowledge of CI/CD pipelines for Inference and ML model deployment. Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code. Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.). Strong programming/scripting skills in Python, Go, or Bash. Solid knowledge of distributed systems, networking, and storage. Experience running large-scale GPU clusters for ML/AI workloads (preferred). Familiarity with ML training/inference pipelines. Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators). Background in capacity planning & cost optimization for GPU-heavy environments.

Work on cutting-edge infrastructure that powers the future of Generative AI. Collaborate with world-class researchers and engineers. Impact millions of users through reliable and responsible AI deployments. Competitive compensation, equity options, and comprehensive benefits.

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About the Team

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

This role is open to remote employees, or relocation assistance is available to Seattle.

In this role, you will:

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

You might thrive in this role if you have:

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of human

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Enterprise Security Engineer

Location

San Francisco

Employment Type

Full time

Department

IT

Compensation

• San Francisco $325K • Offers Equity
• Remote $260K – $292.5K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance related bonus for eligible employees and benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

In this role, you will:

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Designing and operating security controls aligned to compliance frameworks, such as: SOX (Sarbanes-Oxley), SOC 2 Type II, ISO 27001, NIST CSF.

• Creating, optimizing, and delivering audit artifacts to security auditors.

• Contribute to and enforce OpenAI’s IT and Security policies and procedures.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

You might thrive in this role if you have:

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and security in mind.

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Enterprise Security Engineer

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

IT

Compensation

• San Francisco$230K – $325K • Offers Equity
• Remote$260K – $292.5K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance related bonus for eligible employees and benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

This role is open to remote employees, or relocation assistance is available to San Francisco.

In this role, you will:

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

You might thrive in this role if you have:

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

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About the Team

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

Responsibilities

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

Requirements

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Salary

• San Francisco: $325K

• Remote: $260K – $292.5K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws.

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Software Engineer, Fleet Infrastructure

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Job Description

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from

• Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems

• Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades

• Supporting research workflows with service frameworks and deployment systems

• Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching

• Much more!

About the Role

As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.

• Interface with researchers and product teams to understand workload requirements

• Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service

You might thrive in this role if you:

• Have experience with hyperscale compute systems

• Possess strong programming skills

• Have experience working in public clouds (especially Azure)

• Have experience working in Kubernetes

• Execution focused mentality paired with a rigorous focus on user requirements

• As a bonus, have an understanding of AI/ML workloads

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Software Engineer, Compute - Storage

Location

San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Storage Infrastructure provides APIs for data access, placement, and lifecycle management, while ensuring that the storage systems’ capacity, throughput, and IOPs satisfy the needs of our AI researchers. Scalability, reliability, security, and usability are the core concerns of the team.

About the Role

As an engineer on the Storage Infrastructure team, you will design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.

We’re looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.

In this role, you will:

• Develop software to manage exascale data, and make it accessible to researchers

• Drive the reliability, predictability, and cost effectiveness of our storage systems

• Interface with researchers to understand and accommodate data use-cases

• Ensure the security of our critical datasets

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.

• Possess strong programming skills

• Have experience working in public clouds (especially Azure)

• Are familiar with AI/ML data access patterns

• Bias for action and comfort building in a fast paced, dynamic environment

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft AI are looking for a talented Member of Technical Staff, HPC Operations Engineering Manager to join their MAI SuperIntelligence Team. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising haptic entertainment technology. You'll work directly with leadership to shape the company's direction in the cinema and simulation markets.

About the Role

In this role, you'll lead a team of Site Reliability Engineers who blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You'll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of AI model training and inference systems

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with Site Reliability Engineering, DevOps, or Infrastructure Engineering Leadership roles

Technical skills:

• Kubernetes, Docker, and container orchestration
• Public cloud platforms like Azure/AWS/GCP and infrastructure-as-code

Personal attributes:

• Low ego individual

Benefits

• Competitive salary
• Benefits and other compensation

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What you'll do

As Senior Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At least 5 year of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in .Net system is a plus
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS.

XML job scraping automation by YubHub

What you'll do

As Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At Least 1 year Experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in DB system, especially Microsoft SQL Server and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS

XML job scraping automation by YubHub

What you'll do

As Senior Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At least 5 year of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS

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What you'll do

As Principal Java Engineer in Razer Gold, you will lead the overall backend system development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to lead system modernization efforts.

• Proactively drive the design and implementation of the Razer Gold core backend system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Leading the team to tackle challenging technical issues.
• Helping the team to grow and prepare for the foreseeable technical challenges.
• Setting example by building high-quality code with unit test and automation test
• Stay on top of any critical issues and drive to the finish line.
• Leading the team to migrate the existing system to a new tech stack

What you need

• BA/BS in Computer Science, Math, Physics, or other technical fields.
• 8+ years of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Solid hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling.
• Experience in .Net system is a huge plus
• Experience in DB system, especially Microsoft SQL Server, PostgreSQL and MySQL DB.
• Experience with at least one of major public cloud services, especially AWS

XML job scraping automation by YubHub

What you'll do

As Senior Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At least 5 year of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS

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