You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy.
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience with Kubernetes backed services
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

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.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is: $205,700-$257,400 USD

The base salary range for this full-time position in the location of St. Louis/Suffolk is: $171,600-$214,500 USD

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Key Responsibilities:

• Establish a vision and plan to guide your long-term approach to net new logo pipeline generation.
• Consistently deliver ARR revenue targets to support 40% YOY growth – dedication to the number and to deadlines.
• Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings.
• Land, adopt, expand, and deepen sales opportunities with Enterprise accounts in your Region.
• Explore the full spectrum of relationships and business possibilities across the client’s entire org chart.
• Become known as a thought-leader in Okta’s platform.
• Expand relationships and orchestrate complex deals across more diverse business stakeholders.
• Holistically embrace, access, and utilize the channel/alliances to identify and open new, uncharted opportunities.
• Work as a team for the most efficient use and deployment of resources. Provide timely and insightful input back to other corporate functions.
• Position Okta at both the functional and “business value” level with target stakeholders.
• Champion Okta to prospective clients at sales presentations, site visits and product demonstrations
• Build effective working partnerships with your Okta colleagues (channel partners, sales engineering, business value management, customer first and many more globally) with humility and enthusiasm.

Requirements:

• 8+ years of a consistent track record of employment with direct field sales experience developing net new logos selling enterprise cloud software to enterprise companies.
• Previous experience utilizing partners, channels, and alliances to sell more successfully and overachieve your quota.
• Sold a similar complex solution software and have experience in any of the following: enterprise cloud software or infrastructure management, application development and management, security, business applications, and/or analytics.
• Measurable track record in new business development and over achieving sales targets.
• Experience in selling complex enterprise software solutions and ability to adapt in high growth, fast-growing, and changing environments and can adapt quickly.
• Experience in successfully selling during market creation phase.
• Proven track record of successfully closing six figure software cloud deals with prospects and customers in the defined territory.
• Experience in the “C” suite, strong executive presence and polish, and excellent listening skills.
• Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of MEDDIC and Challenger methodologies is a plus.
• Bachelor's degree; MBA a plus or equivalent experience.

The OTE range for this position for candidates located in the San Francisco Bay area is between $260,000-$390,000 USD.

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Design and develop cybersecurity tools for real-time embedded, embedded Linux, and Android systems.

Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.

Develop thorough testing and qualification procedures for security-critical components.

Collaborate with cross-functional teams to identify specific security needs and implement solutions.

Conduct code reviews and ensure adherence to security best practices.

Stay updated on the latest security threats and technologies.

The salary range for this role is $146,000-$220,000 USD.

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The Money team's mission at Databricks is to maximise the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies and cutting-edge engineering.

As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost centre and budgeting.

Your role is crucial in democratising data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialisation experts, data scientists, IT, and customer support, you will standardise billing experiences across major cloud providers, offering our customers a unified 'sky computation' experience.

This role involves utilising the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercialising all Databricks products and offerings.

• Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.

• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.

• Collaborate with commercialisation experts to develop and implement innovative pricing strategies and plans.

• Use AI and LLMs to innovate in cost insight, prediction, and optimisation across various cloud providers.

• You will become an expert at using the Databricks Data + AI tools

• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

• Represent Databricks at academic and industrial conferences & events.

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Key Responsibilities:

• Establish a vision and plan to guide your long-term approach to net new logo pipeline generation.
• Consistently deliver ARR revenue targets to support 40% YOY growth – dedication to the number and to deadlines.
• Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings.
• Land, adopt, expand, and deepen sales opportunities with Enterprise accounts in your Region.
• Explore the full spectrum of relationships and business possibilities across the client’s entire org chart.
• Become known as a thought-leader in Okta’s platform.
• Expand relationships and orchestrate complex deals across more diverse business stakeholders.
• Holistically embrace, access, and utilize the channel/alliances to identify and open new, uncharted opportunities.
• Work as a team for the most efficient use and deployment of resources. Provide timely and insightful input back to other corporate functions.
• Position Okta at both the functional and “business value” level with target stakeholders.
• Champion Okta to prospective clients at sales presentations, site visits and product demonstrations
• Build effective working partnerships with your Okta colleagues (channel partners, sales engineering, business value management, customer first and many more globally) with humility and enthusiasm.

Requirements:

• 8+ years of a consistent track record of employment with direct field sales experience developing net new logos selling enterprise cloud software to enterprise companies.
• Previous experience utilizing partners, channels, and alliances to sell more successfully and overachieve your quota.
• Sold a similar complex solution software and have experience in any of the following: enterprise cloud software or infrastructure management, application development and management, security, business applications, and/or analytics.
• Measurable track record in new business development and over achieving sales targets.
• Experience in selling complex enterprise software solutions and ability to adapt in high growth, fast-growing, and changing environments and can adapt quickly.
• Experience in successfully selling during market creation phase.
• Proven track record of successfully closing six figure software cloud deals with prospects and customers in the defined territory.
• Experience in the “C” suite, strong executive presence and polish, and excellent listening skills.
• Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of MEDDIC and Challenger methodologies is a plus.
• Bachelor's degree; MBA a plus or equivalent experience.

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We're seeking a Security Software Engineer with a specialization in crypto services and key management to develop novel security tooling for securing our suite of products. The ideal candidate can develop, test, and debug embedded software with mission-critical security responsibilities.

What You'll Do

• Design and develop cybersecurity tools for real-time embedded, embedded Linux, and Android systems.
• Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.
• Develop thorough testing and qualification procedures for security-critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

Required Qualifications

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience selecting and utilizing embedded HSMs and Secure Elements.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Experience debugging embedded systems using common test equipment - logic analyzers, oscilloscopes, etc.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

Preferred Qualifications

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience implementing solutions compliant with US Government key handling requirements.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Compensation and Benefits

The salary range for this role is $126,000-$191,000 USD. Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

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This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI , training frontier models and serving millions of users interacting with Claude.

Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought.

You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Responsibilities:

• Lead the build-out of automation to support datacenters containing tens of thousands of servers.

• Own and define the end-to-end machine lifecycle strategy , from provisioning and deployment through operation, maintenance, refresh, and decommissioning , and maintain automation and operational procedures for common lifecycle events (e.g. hardware failures, firmware upgrades, fleet rotations).

• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the machine lifecycle.

• Work closely with our Networking team to ensure end-to-end connectivity across all sites.

• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

You May Be a Good Fit If You:

• Have 5+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.

• Have deep, hands-on experience with server hardware , including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.

• Understand hardware lifecycle management end-to-end: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.

• Have strong proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).

• Are comfortable navigating ambiguity and working independently to drive progress on complex, cross-functional problems.

• Communicate clearly and can build consensus with a wide range of stakeholders.

• Have working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.

• Are comfortable with occasional travel to datacenter sites across North America.

Strong Candidates May Also Have:

• Hands-on experience with GPU or AI accelerator hardware (e.g. NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.

• Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.

• Experience building or contributing to datacenter automation or fleet management platforms.

• Experience building and deploying server operating system distributions across thousands of hosts.

• A background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.

• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification , or a strong desire to develop deep expertise in this area.

The annual compensation range for this role is £255,000-£325,000 GBP.

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As a Senior Software Engineer working on the Data Platform team, you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.

• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.

• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.

• Design the base ETL framework used by all pipelines developed at the company.

• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.

• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.

• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.

• Represent Databricks at academic and industrial conferences & events.

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Design and develop cybersecurity tools for real-time embedded, embedded Linux, and Android systems.

Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.

Develop thorough testing and qualification procedures for security-critical components.

Collaborate with cross-functional teams to identify specific security needs and implement solutions.

Conduct code reviews and ensure adherence to security best practices.

Stay updated on the latest security threats and technologies.

US Salary Range $166,000-$253,000 USD

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The impact you will have includes designing and running the Databricks metrics store, cross-company Data Intelligence Platform, and developing tooling and infrastructure to efficiently manage and run Databricks at scale. You will also design the base ETL framework used by all pipelines developed at the company, partner with engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product, and establish conventions and create new APIs for telemetry, debug, feature, and audit event log data.

To be successful in this role, you will need 12+ years of industry experience, 4+ years of experience building large-scale distributed systems, and 5+ years of providing technical leadership on large projects similar to the ones described above. You will also need experience with ETL frameworks, metrics stores, infrastructure management, data security, and experience building, shipping, and operating reliable multi-geo data pipelines at scale.

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This role focuses on building, deploying, and managing internal Windows and Linux infrastructure while collaborating with other teams to develop scalable solutions.

Responsibilities:

• Building, managing, and supporting complex application stacks on Windows and Linux Servers.
• Providing Windows and Linux troubleshooting and technical support.
• Deploy, configure and support VMware technologies, including vCenter, ESX and Horizon.
• Use Puppet Enterprise to automate and manage configurations.
• Working with other engineering teams and third-party vendors to implement scalable solutions.
• Ensuring compliance by collaborating with internal audit and compliance teams.
• Developing and maintaining standard operating procedures.
• Participating in a 24/7 on-call support rotation.
• Managing and monitoring all installed Windows and Linux systems and infrastructure.
• Installing, configuring, testing, and maintaining operating systems and system management tools.
• Proactively ensuring high levels of system availability and reliability.
• Monitoring and optimizing application performance, identifying bottlenecks, and collaborating with developers to implement solutions.
• Writing and maintaining custom scripts to improve system efficiency and automation.

Required Qualifications:

• Deep understanding of infrastructure management and automation
• 3 to 5 years of experience in the following:
• Systems Engineering for Corporate Infrastructure.
• Managing large-scale Windows and Linux server environments.
• Virtualization at scale.
• Configuration Management.
• Managing scalable storage solutions, preferably NetApp.
• Developing and maintaining performance metrics for systems.
• Strong understanding of Puppet Enterprise and Puppet Open Source.
• Strong understanding of basic networking concepts.
• Proficient with using Puppet to automate and manage configurations.
• Ability to translate business needs into technical solutions.
• Outstanding analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Experience writing technical design documents and maintaining documentation.
• Familiarity with working in a source-controlled environment.
• Proficiency in scripting languages such as Bash, Python, or Perl.
• Experience with VMware services, including VMware data center virtualization and VMware Horizon.

Basic Qualifications:

• Familiarity with DevOps practices and CI/CD tools.
• Knowledge of orchestration tools.

Compensation and Benefits:

$162,000 - $226,000

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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As an Engineering Manager, you will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe.

Responsibilities:

• Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.
• Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving
• Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes
• Create clarity for the team and stakeholders in an ambiguous and evolving environment
• Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team
• Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

Requirements:

• 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management
• 5+ years of engineering management experience
• Experience recruiting, scaling, and retaining engineering talent in a high growth environment
• Have experience scaling products, resources and operations to accommodate rapid growth
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales
• Have experience working with external partners to align goals and deliver impact
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
• Have excellent written and verbal communication skills
• Demonstrated success building a culture of belonging and engineering excellence
• Are motivated by developing AI responsibly and safely
• Are willing and able to travel frequently between Seattle and the SF Bay Area

Strong candidates may also have experience with:

• Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
• Experience as a Product Manager
• Experience with deployment and capacity management automation
• Security and privacy best practice expertise

Annual compensation range for this role is $405,000-$485,000 USD.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a company with a diverse workforce and teams distributed between France, USA, UK, Germany and Singapore. We are looking for passionate and skilled software engineers to join our team.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

System Architecture

• Design and implement efficient, secure and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

Code Quality

• Write clean, maintainable and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.

Cross-functional Collaboration

• Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

Problem-Solving & Innovation

• Tackle complex engineering challenges, from distributed systems to AI product integration.
• Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Experience Level

This role is suitable for entry-level, mid-level, senior-level, and staff-level engineers.

Employment Type

This is a full-time position.

Workplace Type

This role is based in one of our European offices (Paris, France and London, UK).

Category

This role falls under the category of Engineering.

Industry

This role is in the Technology industry.

Salary Range

The salary range for this position is competitive and will be discussed during the hiring process.

Required Skills

• Python
• Backend development
• APIs
• Databases
• Caching
• Messaging systems
• Distributed architectures

Preferred Skills

• Front-end development
• Infrastructure management
• AI/ML engineering
• Observability and monitoring tools
• UX and product-centric mindset

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking experienced backend software engineers to join our Deployment team. You'll help deploy and integrate our products (models, APIs, AI Studio...) across multiple infrastructure configurations, from leading cloud service providers to self-hosted (private cloud and on-premises) solutions. You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology.

Responsibilities

• New releases – you will ensure fast and reliable launch of new products (from models to APIs) to customers
• Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
• Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
• Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
• Build automation to increase deployment performance (velocity, scalability)
• Foster architecture improvements to make our products deployable on all configurations (including on-premise)
• Drive cross-functional feature improvements with other product engineering teams (Le Chat, API/SDK, Mistral Code...)
• Contribute to key technology and architecture trade-offs to break our deployment stack down into small, maintainable and testable pieces

About you

• 5+ years of relevant professional work experience
• Master’s degree in Computer Science, Information Technology or a related field
• Excellent proficiency in backend software development (Python, Golang)
• Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
• Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
• Autonomous and self-starter profile
• Ability to communicate with influence

Hiring Process

• Introduction call - 30 min
• Hiring Manager Interview - 30 min
• Live-coding Interview (Python) - 45 min
• System Design Interview - 45 min
• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min
• Culture-fit discussion - 30 min
• References

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Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• System Architecture: Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Code Quality: Write clean, maintainable, and well-documented code.
• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration.

You will be working closely with our team to design, develop, and deploy scalable and reliable systems that meet the needs of our users.

We are looking for someone with a strong background in software engineering, a passion for building scalable systems, and excellent communication skills.

Responsibilities:

• Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
• Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.
• Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
• Tackle complex engineering challenges, from distributed systems to AI product integration.

Requirements:

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years of relevant work experience.
• Proficiency in Golang or another backend language (Python, Rust…).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Nice to have:

• Front-end development (Typescript, React, NextJS…)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform…)
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. We are a low-ego and team-spirited organisation.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimisation.

• Code Quality: Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 minutes
• Live-coding interview - 45 minutes
• System Design interview - 45 minutes
• Hiring Manager interview - 30 minutes
• Deep Dive Interview (only for leads & staff engineers) - 60 minutes
• Culture-fit discussion - 30 minutes
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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Reporting line: VP of Engineering

Location: Paris (France) or London (UK)

Key Responsibilities: The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.

Your responsibilities include (but may not be limited to):

• Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)

• Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval

• Owning our information retrieval systems serving both our internal needs as well as our enterprise customers

• Ensuring that our search capabilities meet the increasing demands of our customers

• Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.

About you:

• 7+ years of relevant professional work experience

• Master’s degree in Computer Science, Information Technology or a related field

• Experience building and scaling distributed search engine systems

• Excellent proficiency in backend software development (Python, Go, C++, Rust...)

• Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)

• Good knowledge of cloud-native ecosystems

• Autonomous and self-starter

• Ability to communicate with influence

Now, it would be ideal if you had experience with:

• AI/ML engineering

Hiring Process:

Here is what you should expect:

• Introduction call - 30 min

• Hiring Manager Interview - 30 min

• Live-coding Interview (Python) - 45 min

• System Design Interview - 45 min

• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min

• Culture-fit discussion - 30 min

• References

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About you:

• 5+ years of relevant professional work experience
• Master's degree in Computer Science, Information Technology or a related field
• Excellent proficiency in backend software development (Python, Golang)
• Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
• Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
• Autonomous and self-starter profile
• Ability to communicate with influence

Hiring Process:

• Introduction call - 30 min
• Hiring Manager Interview - 30 min
• Live-coding Interview (Python) - 45 min
• System Design Interview - 45 min
• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min
• Culture-fit discussion - 30 min
• References

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a pioneering company shaping the future of AI. Our comprehensive AI platform meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

• Code Quality: Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 min
• Live-coding interview - 45 min
• System Design interview - 45 min
• Hiring Manager interview - 30 min
• Deep Dive Interview (only for leads & staff engineers) - 60 min
• Culture-fit discussion - 30 min
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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Key responsibilities include:

• Ensuring fast and reliable launch of new models and new features to customers
• Building systems, APIs, and interfaces to interact with large language models
• Improving and extending the infrastructure needed to package, deploy, and integrate our core technology within first-party systems and third-party platforms
• Maintaining AI safety on third-party platforms
• Collaborating with internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users

In addition to these responsibilities, the successful candidate will also focus on security aspects, including:

• Acting as a security advocate within the team, sharing best practices and raising awareness about secure coding principles
• Designing and implementing robust, secure systems, ensuring that all development adheres to the highest security standards
• Conducting in-depth reviews of code and architectural designs, focusing on identifying and mitigating security vulnerabilities
• Identifying, addressing, and mitigating vulnerabilities in applications and systems, ensuring proactive measures are in place

The ideal candidate will have a Master's degree in Engineering or Computer Science, proven experience as a Software Engineer with a focus on backend or full-stack development, and hands-on experience working on security projects, integrating security considerations into software products or a past experience as SRE (Site Reliability Engineering).

Familiarity with industry standards for secure software development (e.g., OWASP, ISO 27001), experience with vulnerability scanning tools, and secure development lifecycle (SDLC) practices are also desirable.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global organisation with a diverse workforce distributed between France, USA, UK, Germany, and Singapore. Our teams are passionate about AI and its potential to transform society.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you'll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure, and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimisation.

• Code Quality: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 minutes
• Live-coding interview - 45 minutes
• System Design interview - 45 minutes
• Hiring Manager interview - 30 minutes
• Deep Dive Interview (only for leads & staff engineers) - 60 minutes
• Culture-fit discussion - 30 minutes
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

XML job scraping automation by YubHub

The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.

Key Responsibilities:

• Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)
• Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval
• Owning our information retrieval systems serving both our internal needs as well as our enterprise customers
• Ensuring that our search capabilities meet the increasing demands of our customers
• Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.

About you:

• 7+ years of relevant professional work experience
• Master’s degree in Computer Science, Information Technology or a related field
• Experience building and scaling distributed search engine systems
• Excellent proficiency in backend software development (Python, Go, C++, Rust...)
• Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)
• Good knowledge of cloud-native ecosystems
• Autonomous and self-starter
• Ability to communicate with influence

Now, it would be ideal if you had experience with:

• AI/ML engineering

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As a DevOps/Platform Engineer, your responsibilities will include designing and implementing complex systems, building flexible yet solid and accessible development environment for researchers, designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines, optimizing a variety of builds, building strong relationships with researchers, communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build.

About you:

• 5+ years of successful experience in a similar DX / DevOps / SRE role.
• Proficiency in software development (Python, Go...) and programming best practices.
• Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...
• Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...
• Technical product mindset (e.g. understanding how to debug poor adoption).
• Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions).
• Ownership, high agency and constantly seeking to learn and improving things for others.
• Autonomous, self-driven and able to work well in a fast-paced startup environment.
• Low ego and team spirit mindset.

Your application will be all the more interesting if you also have:

• First hand Bazel (or equivalent) experience.
• Strong knowledge of Python's ecosystem.
• Familiarity with GPU based workloads and ecosystems.
• Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).

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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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Anthropic is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Senior Engineer on the Datacenter Machine Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Responsibilities

• Lead the build-out of automation to support datacenters containing tens of thousands of servers.
• Own and define the end-to-end machine lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g. hardware failures, firmware upgrades, fleet rotations).
• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the machine lifecycle.
• Work closely with our Networking team to ensure end-to-end connectivity across all sites.
• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

You May Be a Good Fit If You

• Have 5+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.
• Have deep, hands-on experience with server hardware — including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
• Understand hardware lifecycle management end-to-end: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
• Have strong proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Are comfortable navigating ambiguity and working independently to drive progress on complex, cross-functional problems.
• Communicate clearly and can build consensus with a wide range of stakeholders.
• Have working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.
• Are comfortable with occasional travel to datacenter sites across North America.

Strong Candidates May Also Have

• Hands-on experience with GPU or AI accelerator hardware (e.g. NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
• Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.
• Experience building or contributing to datacenter automation or fleet management platforms.
• Experience building and deploying server operating system distributions across thousands of hosts.
• A background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

IT

Compensation

• $230K – $325K • 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.

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.

About the Team

OpenAI’s Applications Engineering team engineers, owns, and evolves OpenAI’s core productivity ecosystem—not simply as custodians of SaaS solutions, but by building custom tools, integrations, and automation that solve problems off-the-shelf software cannot. With a company-wide lens and deep technical expertise, we bridge gaps between teams, operationalize applications for scale, and deliver secure, seamless, and innovative employee experiences. We proactively design and develop custom solutions where required, creating paved paths that reduce friction, improve productivity, and enable other teams to focus on their core missions.

About the Role

As a Software Engineer: Internal Applications, Enterprise, you are tasked with enhancing employee technology services through automation, Infrastructure-as-Code (IaC), and the development of workforce tooling. You will leverage OpenAI's models to optimize identity and access management (IAM) systems, build applications and dashboards for internal users, and streamline complex workflows through automation. This role involves designing and implementing efficient, secure, and scalable solutions, including intelligent Slack bots and integrations to improve operational efficiency and user experience.

Responsibilities

• Design, build, implement, and maintain secure, scalable, and performant workforce technology infrastructure, automation workflows, and bespoke tooling that improves the OpenAI employee experience.

• Deliver critical IT efficiencies and automation through both bespoke software development and first-party tooling to enhance technology service delivery.

• Employ modern Infrastructure-as-Code (IaC) methodologies, developing GitOps-driven solutions to manage technology workflows at scale.

• Build and maintain CI/CD pipelines for corporate infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).

• Create scalable internal tools and dashboards to optimize workflows and improve visibility into engineering operations.

• Design and manage internal integrations, including Slack bots and workflow automation solutions.

• Support IAM processes by automating access provisioning and lifecycle management for internal applications.

• Collaborate with the IAM team to manage cloud-based identity and access controls, ensuring compliance with security policies and standards for internal applications.

• Collaborate with security teams to align technology automation initiatives with Zero Trust principles and compliance frameworks.

• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.

• Work cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.

• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Requirements

• Proficiency in a modern programming language, ideally Python.

• Strong knowledge of and experience with cloud platforms (Azure, AWS, GCP) and infrastructure management.

• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.) as well as cloud automation best practices.

• Experience integrating corporate infrastructure with CI/CD pipelines and

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The WRT Workshop Chief will manage the daily operations in the workshop including logistics, stores, and infrastructure. They have a technical background and experience and knowledge of facility management. Strong communication skills are needed and the ability to set priorities in function of the workload and the race programs; The Chief Workshop is motivated to reach goals and objectives and promote high-standards, quality of service and team spirit in the workforce.

Responsibilities

• Technical support:
• Coordinate with the program managers to support requirements of the different WRT business lines and activities.
• Logistic support:
• Manage the maintenance and legal compliance of WRT service vehicle and truck fleet.
• Manage and schedules the use of WRT service vehicles and trucks for the different WRT business lines and activities to ensure saturation and efficiency.
• Collaborate the truck drivers or work together with the chief trucky.
• Management of race shop work-force:
• Work in close collaboration with the program managers to efficiently employ the workforce to ensure productivity.
• Supply chain
• Responsible for the supply chain management in collaboration with the individual program managers of the different WRT business lines and activities.
• Infrastructure:
• Manage the maintenance and space utilization, execute repaire.
• Ensure compliance with health and safety requirements interfacing with the WRT Health and Safety Responsible.
• Knowledge of the construction sector for the coordination of the relocation of the workshop, monitoring the execution of the work and reporting to the management.

Desired Skillset

• Knowledge of safety at work, facility management and the technical aspects of buildings.
• Hands on approach with a flexible “Can Do” & “Will Do” attitude.
• Flexible with workload and tight deadline.
• Knowledge of French and English required, notions of German and Dutch considered as a bonus.
• Pro-active problem solver & strong communicator.
• Strong organisation and planning capacities.
• Truck driving licence is a plus.
• Promote our values (People, Passion, Performance) and commit to personal investment into the WRT ESG strategy.

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What you'll do

• Developing and executing strategic IT infrastructure plans, policies, and procedures that align with Synopsys' global and regional objectives.
• Overseeing the design, implementation, and maintenance of HPC Engineering infrastructure, including Compute, Citrix, Storage, Networks, and Data Centers to ensure seamless operations.

What you need

• Extensive experience (20+ years) in managing large-scale, 24x7 IT infrastructure delivery programs for global organizations.
• Deep technical expertise in HPC Engineering infrastructure—Compute, Citrix, Storage, Networks, and Data Centers.

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Beratung von Kunden bei der Organisation und Steuerung von komplexen Infrastrukturprojekten Kommunikation und fachlicher Ansprechpartner für externe und interne Schnittstellen auf Führungsebene (z.B. PMO Disziplinen) Aktives Mitwirken an vertraglichen Dokumenten zur Steuerung von Dienstleistern im Auftrag des Kunden Ansprechpartner:in gemäß Eskalationsprozessen Verantwortung von Fachthemen oder Abschnitten innerhalb des Projektes Konzeptionierung von Vorgehensweisen unter Berücksichtigung von Lessons Learned und Identifizierung von Optimierungspotential Strukturierung und Leitung von Projekten Unterstützung Deines Projektteams bei Analysen und der Entwicklung von Projektergebnissen Führung und Koordination von Mitarbeitenden und Dienstleistern

Anforderungen

Praktische Erfahrung im Projektmanagement idealerweise in der Steuerung von großen Infrastrukturprojekte im Energieumfeld, einschließlich Zielsetzung, Personalplanung, Aufgabenverteilung und erfolgreicher Projektabwicklung Projektmanagement Zertifizierung nach IPMA oder PMI ist ein Plus Erfahrung in Verhandlungen mit Eigentümern und Bewirtschafter, insbesondere im Zusammenhang mit Infrastrukturprojekt sowie Kommunikation mit externen Dienstleistern Nachweisbare Kenntnisse im Bereich Infrastrukturmanagement, Wegerecht oder Kreuzungsmanagement Sehr guter fachbezogener und erfolgreicher Studienabschluss Mehrjährige relevante Berufserfahrung im Consulting und/oder in der Infrastrukturprojekt, bevorzugt im Energiebereich Erfahrungen in der Führung von internen und externen Teams sowie ausgeprägte Kommunikations- und Verhandlungskompetenz Sehr gute analytische Fähigkeiten und eine konzeptionelle strukturierte sowie kundenorientierte Arbeitsweise Unternehmerisches Denken, Beitrag zur Unternehmensentwicklung und vertriebliche Affinität, idealerweise mit einem bestehenden Netzwerk im relevanten Fachbereich

Unternehmensprofil

Als Intelligent Energy System Services GmbH wissen wir, dass die Mobilitäts- und Energiewende nur mit geballter Kraft gelingen kann – mit der Bündelung der richtigen Kompetenzen und Skills. Genau so, wie wir diese im Joint Venture der MHP Management- und IT-Beratung (MHP) und des Übertragungsnetzbetreibers TransnetBW vereint haben. IE2S ist der Partner für alle, die sich dieser Aufgabe annehmen: In den Bereichen Energiemanagement, Mobilität oder Infrastruktur packen wir die Zukunft gemeinsam an!

Exklusive Einblicke hinter die Kulissen

Ein junges Team mit flachen Hierarchien und echte Kommunikation auf Augenhöhe Standortunabhängiges, hybrides Arbeiten bei flexiblen Arbeitszeiten Attraktive und leistungsorientierte Vergütung Flexibles und nachhaltiges Mobilitätsangebot wie zum Beispiel CompanyCar, Mobility Budget & Dienstrad Individualisiertes Mentoring-, Coaching- & Learningprogramm Lockere, kreative und moderne Atmosphäre in unserem barrierefreien Office in Stuttgart Mitte Tätigkeit mit gesamtgesellschaftlicher Relevanz Möglichkeit zu unternehmerischer Verantwortung

Hinweise zur Bewerbung

Du möchtest genau das und damit Mehrwert für Gesellschaft und Umwelt schaffen? Du denkst voraus, treibst innovative Themen an und ergänzt unser interdisziplinäres Team als einzigartiges Talent? Dann bewirb Dich jetzt! Ob Berufseinstieg, nächster Karrieresprung oder neuer Verantwortungsbereich – wir freuen uns, Deine neue berufliche Heimat zu werden. Für unsere vielfältigen Projekte suchen wir ganzjährig nach motivierten Kolleg:innen im Consulting und Management.

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