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

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

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

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

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

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

Principal Responsibilities

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

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

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

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

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

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

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

Qualifications & Skills

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

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

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

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

• Experience with distributed caching and replication technologies.

• Solid knowledge of Unix/Linux environments is required.

• Experience with Agile/Scrum development methodologies is required.

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

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

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

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

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

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

• Proven ability to write clear, concise documentation.

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

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

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

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

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

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

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

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

Principal Responsibilities:

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

Qualifications/Skills Required:

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

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The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is £225,000-£325,000 GBP.

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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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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Annual compensation range for this role is €235,000-€295,000 EUR.

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

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. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different:

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Your responsibilities will include:

• Designing extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
• Building and operating distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
• Integrating with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
• Designing and maintaining data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
• Partnering closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
• Leading multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
• Applying strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
• Raising the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.

Ideal Experience:

• 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
• Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
• Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.

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.

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Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for both the customer-facing Model Serving product and its foundational infrastructure.
• Defining and owning the product and technical roadmap for Model Serving, balancing customer experience, functionality, and foundational investments across deployment, inference, monitoring, and scaling.
• Collaborating closely with product, research, platform, and infrastructure teams to drive end-to-end delivery from ideation and prioritization to launch and operation.
• Ensuring Model Serving meets stringent SLAs, SLOs, and performance and reliability goals, continuously improving operational efficiency and customer experience.
• Driving architectural decisions and product design around latency, throughput, autoscaling, GPU/CPU placement, and cost optimization.
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
• Promoting best practices in code quality, testing, observability, and operational readiness.
• Fostering a culture of excellence, inclusion, and continuous improvement across the team.
• Partnering with recruiting to attract, hire, and develop top-tier engineering talent.

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At Cloudflare, we are on a mission to help build a better Internet. As a Customer Solutions Engineer (CSE), you will be the trusted technical advisor throughout a customer's lifecycle. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Cloudflare platform to its fullest extent.

Responsibilities:

As a critical member of the Account Team, you will serve as a trusted technical advisor, help expand existing business, and ensure the success of our customers. You will be part of a regional team and will work closely with Customer Success Managers (CSMs) working with the regional customers of Cloudflare.

From a technical perspective, as part of the account team, your primary responsibilities will be to deliver a timely and organized onboarding for customers, ensure customers see the full value in Cloudflare's products, and advise on technical best practices.

Ensure customer retention and expansion through relationship building and participation in periodic account reviews to contribute your expertise on technical topics.

Provide customers with clear proactive technical guidance and expertise across all our products.

Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations.

Proactively identify opportunities for expansion for existing customers.

Promote retention by capturing and communicating gaps in product or features.

Contribute towards the success of the CSE role through knowledge-sharing activities such as contributing to internal and external documentation, answering technical Q&A, and helping iterate on best practices.

The role requires 15-30% travel to attend meetings with customers, attend conferences, and other industry events, and to collaborate with your Cloudflare teammates.

Experiences might include a combination of the skills below:

Deep understanding of how the internet works and the desire to expand that knowledge.

Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP.

Reverse and forward proxies and the applications of both.

Security aspects of an internet property, such as Firewalls, WAFs, Bot Management, Rate Limiting, (M)TLS, Zero Trust.

Performance aspects of an internet property, such as Speed, Latency, Caching, HTTP/2, TLSv1.3.

Enjoying the adventure of troubleshooting and solving technical problems.

Understanding why Cloudflare plays an increasingly important role on today's internet.

Demonstrated experience with a coding language (e.g. JavaScript, Python, etc) and a desire to expand those skills.

Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our CSEs are viewed as subject-matter experts.

It's incumbent on us to stay up to date not only with Cloudflare's specific products, but with industry trends.

Ability to proactively identify and solve problems then build sustainable solutions to prevent recurrence.

Ability to manage a project, work to deadlines, and prioritize between competing demands.

Great communication skills & stakeholder management skills.

Ability to read and write in an additional APAC language.

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.

Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver.

This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever.

We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations.

Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.

We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.

All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities and encourages applicants with disabilities to apply.

If you need assistance or an accommodation due to a disability, please let us know.

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Your responsibilities will include:

• Building out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contributing to and leading each step of the product development process, from ideation to implementation to release
• Partnering with design, product, and backend teams to build end-to-end functionality
• Employing automated testing to build features with a high degree of technical quality
• Growing as an engineer by working with world-class peers on varied and high impact projects

We're looking for candidates with 1+ years of industry backend development experience, proficiency in common backend tech stacks, and experience building & operating large scale distributed systems and/or networks.

As a Pinterest engineer, you'll have the opportunity to:

• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation

If you're passionate about building Tomas and working with a talented team, we'd love to hear from you!

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems.

We are looking for an experienced Staff Software Engineer to work on our Advanced Apps team with focus on enhancing and managing connectors to SaaS applications e.g., Workday, Salesforce, GCP, AWS, etc. They will work closely with the Lifecycle Management (LCM) team that provides a platform for automating Joiner, Mover, Leaver processes. The Connectors allow customers the flexibility to Import and Provision identity and entitlements to their SaaS applications. This role is to build, design solutions, and maintain our connectors to match application's features and for scale.

Job Duties and Responsibilities:

• Work with senior engineering team in major development projects, design and implementation
• Interface with cross-functional teams (Architects, QA, Product, Technical Support, Documentation, and UX teams) to understand application specific protocols and build connectors
• Analyze/Refine Requirements with Product Management.
• Quick prototyping to validate scale and performance.
• Design & Implement features with functional and unit tests along with monitoring and alerts
• Conduct code reviews, analysis and performance tuning
• Work with QA team to outline and implement comprehensive test coverage for application specific features
• Troubleshooting and support for customer issues and debugging from logs (Splunk, Syslogs, etc.)
• Provide technical leadership and mentorship to more junior engineers

Required knowledge, skills, and abilities:

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure
• 8+ years of Software Development in Java, preferably significant experiences with SCIM and Spring Boot.
• 5+ years of development experience building services, internal tools and frameworks
• 2+ years experience automating and deploying large scale production services in AWS, GCP or similar.
• Deep understanding of infrastructure level technologies: caching, stream processing, resilient architectures
• Experience with RESTful APIs and SOAP apis.
• Ability to work effectively with distributed teams and people of various backgrounds
• Lead and mentor junior engineers

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Cloud Engineer for Developer Platform, you are an individual contributor working in the post-sales landscape, responsible for the technical execution of solutions and guidance to our customers, following a consultative approach, to get the most value possible from their Cloudflare investment.

Key Responsibilities:

• Plan and deliver timely and organized services for customers, ensure customers see the full value in Cloudflare’s products and advice on product best practices.

• Gather business and technical requirements, use cases and any other information required to build, migrate and deliver a solution on behalf of the customer and transition the Cloudflare working environment to the customer.

• Produce a Solution Design, HLD, LLD, databuilds, procedures, scripts, test plans, drawings, deployment plan, migration plan, as-builts, and any other artifacts necessary to deliver the solution and transition smoothly into the customer’s technical teams.

• Implement changes on behalf of the customer in the Cloudflare environment following the customer’s change management process.

• Troubleshoot implementation issues and collaborate with Customer Support, Engineering and other teams to assist technical escalations.

• Contribute towards the success of the organization through knowledge sharing activities such as contributing to internal and external documentation, answering technical Q&A, and helping to iterate on best practices.

Support building operational assets like templates, automation scripts, procedures, workflows, etc.

Requirements:

• 3+ years of experience in a customer facing position as a Consultant delivering services.

• Demonstrated experience with:

• Developing serverless code in a CI/CD pipeline using an Agile methodology.

• Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP.

• Scripting languages.

• A scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills.

• Infrastructure as code tools like Terraform.

• Strong experience with APIs.

• CI/CD pipelines using Azure DevOps or Git.

• Implementation and troubleshooting experience, knowledge of tools to troubleshoot, observability, logs, etc.

• Good understanding and knowledge of:

• Internet and Security technologies such as DDoS, Web Application Firewall, Certificates, DNS, CDN, Analytics and Logs.

• Security aspects of an internet property, such as DNS, WAFs, Bot Management, Rate Limiting, (M)TLS, certificates, OWASP.

• Performance aspects of an internet property, such as Speed, Latency, Caching, HTTP/3, TLSv1.3.

Preferred Qualifications:

• You have worked with a Cybersecurity company or products and have performed migrations using migration tools.

• You have developed application security and performance capabilities.

• Ability to manage a project, work to deadlines, prioritize between competing demands and manage uncertainty.

• The work will be performed in English. Fluency in a second regional European language is a strong advantage.

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. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals

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You are an expert in Developer Platform products or equivalent and will focus on building and deploying serverless applications with scale, performance, security and reliability leveraging: Workers, Workers KV, Workers AI, D1, R2, Images, and many other products.

This position has working hours Monday to Friday 09:00 a.m. to 06:00 p.m. Occasionally, we support our customers during the weekends for specific changes that need to be done outside of their business hours. Travel is expected to be around 40%.

Experience might include a combination of the skills below:

• Plan and deliver timely and organized services for customers, ensure customers see the full value in Cloudflare’s products and advice on product best practices.
• Gather business and technical requirements, use cases and any other information required to build, migrate and deliver a solution on behalf of the customer and transition the Cloudflare working environment to the customer.
• Produce a Solution Design, HLD, LLD, databuilds, procedures, scripts, test plans, drawings, deployment plan, migration plan, as-builts, and any other artifacts necessary to deliver the solution and transition smoothly into the customer’s technical teams.
• Implement changes on behalf of the customer in the Cloudflare environment following the customer’s change management process.
• Proven experience with Cloudflare or similar with Workers, Javascript/Typescript and Workers APIs.
• Troubleshoot implementation issues and collaborate with Customer Support, Engineering and other teams to assist technical escalations.
• Contribute towards the success of the organization through knowledge sharing activities such as contributing to internal and external documentation, answering technical Q&A, and helping to iterate on best practices.

Support building operational assets like templates, automation scripts, procedures, workflows, etc.

Experience might include a combination of the skills below:

• 3+ years of experience in a customer facing position as a Consultant delivering services.
• Demonstrated experience with:

Developing serverless code in a CI/CD pipeline using an Agile methodology. Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP Scripting languages A scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills. Infrastructure as code tools like Terraform. Strong experience with APIs. CI/CD pipelines using Azure DevOps or Git. Implementation and troubleshooting experience, knowledge of tools to troubleshoot, observability, logs, etc. Good understanding and knowledge of:

Internet and Security technologies such as DDoS, Web Application Firewall, Certificates, DNS, CDN, Analytics and Logs. Security aspects of an internet property, such as DNS, WAFs, Bot Management, Rate Limiting, (M)TLS, certificates, OWASP. Performance aspects of an internet property, such as Speed, Latency, Caching, HTTP/3, TLSv1.3.

Strong advantage if:

You have worked with a Cybersecurity company or products and have performed migrations using migration tools. You have developed application security and performance capabilities. Ability to manage a project, work to deadlines, prioritize between competing demands and manage uncertainty.

The work will be performed in English. Fluency in a second regional European language is a strong advantage.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We are looking for an Application Security and Performance Consultant to join our Professional Services team. As a Consultant, you will be responsible for the technical execution of solutions and guidance to our customers to get the most value possible from their Cloudflare investment.

Responsibilities

• Plan and deliver timely and organized services for customers, ensure customers see the full value in Cloudflare’s products and advice on product best practices
• Gather business and technical requirements, use cases and any other information required to build, migrate and deliver a solution on behalf of the customer and transition the Cloudflare working environment to the customer
• Produce a Solution Design, HLD, LLD, databuilds, procedures, scripts, test plans, drawings, deployment plan, migration plan, as-builts, and any other artifacts necessary to deliver the solution and transition smoothly into the customer’s technical teams
• Implement changes on behalf of the customer in the Cloudflare environment following the customer’s change management process
• Provide guidance to the customer to configure their CPEs and integration points
• Troubleshoot implementation issues and collaborate with Customer Support, Engineering and other teams to assist technical escalations

Requirements

• 5+ years of experience in a customer facing position as a Customer Engineer, Security Engineer, Implementation Engineer, Onboarding Engineer, Consultant, Technical Support Engineer, Solutions Architect, and/or Systems Engineer
• Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP
• Understanding of Internet and Security technologies such as DDoS, Web Application Firewall, Certificates, DNS, CDN, Analytics and Logs
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills
• Demonstrated experience with security aspects of an internet property, such as DNS, WAFs, Bot Management, Rate Limiting, (M)TLS and certificates
• Performance aspects of an internet property, such as Speed, Latency, Caching, HTTP/3, TLSv1.3
• Working experience with infrastructure as code tools like Terraform
• Strong experience with APIs
• Ability to manage a project, work to deadlines, prioritize between competing demands and manage uncertainty

What Makes Cloudflare Special?

We are not just a highly ambitious, large-scale technology company. We are 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. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

GetType

experienceLevel: senior employmentType: full-time workplaceType: hybrid category: Engineering industry: Technology salaryRange: requiredSkills: [TCP/IP, TLS, DNS, HTTP, DDoS, Web Application Firewall, Certificates, DNS, CDN, Analytics and Logs, Python, JavaScript, Bash, DNS, WAFs, Bot Management, Rate Limiting, (M)TLS and certificates, Speed, Latency, Caching, HTTP/3, TLSv1.3, Terraform, APIs] preferredSkills: []

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You'll architect and implement our next-generation authorization infrastructure, including policy-as-code approaches, fine-grained permissions, and performance optimizations at massive scale, enabling GitLab's move toward zero-trust architecture while keeping authorization fast, secure, and correct.

You'll work closely with Security, Database, Platform, and authentication-focused teams to design and ship authorization capabilities that span GitLab's various deployment models and multi-tenant environments.

Some examples of our projects:

• Implementing fine-grained permissions for Job Tokens, Personal Access Tokens, and the GitLab Duo agent platform

• Collaborating on Auth stack initiatives that evolve how authorization works across GitLab

• Implement fine-grained permission systems for Job Tokens, Personal Access Tokens, the GitLab Duo Agent Platform, and other authentication mechanisms across the GitLab platform.

• Collaborate with Security, Authentication, Database, and Platform teams on authorization stack initiatives, aligning designs and implementation plans.

• Solve complex performance challenges in authorization, including query optimization, caching strategies, and database decomposition, with a focus on PostgreSQL.

• Design and evolve authorization systems that work across multiple deployment models and multi-tenant architectures while maintaining security and reliability.

• Drive improvements to authorization security, maintainability, and developer experience through code review, documentation, and technical leadership.

• Contribute to architectural decisions for authorization features with a long-term strategic view, balancing immediate needs with future scalability.

• Mentor and support other engineers in authorization patterns, policy-based access control, and secure coding practices in a fully remote, asynchronous environment.

• Professional experience building and maintaining production applications with Ruby on Rails or similar backend frameworks.

• Strong understanding of authorization models, including role-based access control, attribute-based access control, and fine-grained permission patterns.

• Experience designing and optimizing high-scale backend systems, including PostgreSQL performance tuning, query optimization, and effective caching strategies.

• Familiarity with or interest in policy-based authorization systems and modern policy languages such as Cedar or Rego.

• Understanding of core security principles, including threat modeling, least-privilege access, and zero-trust architectures.

• Experience working with distributed systems and service-to-service communication in a cloud or multi-tenant environment.

• Demonstrated ability to own complex technical initiatives from design through production deployment in an asynchronous, remote setting.

• Strong collaboration and communication skills, with openness to learning and applying transferable skills from adjacent domains or technologies.

We on the Authorization team at GitLab design, build, and maintain the permission systems that control access across the GitLab platform, ensuring they are secure, scalable, and flexible for customers of all sizes.

We lead the ongoing evolution of our authorization architecture, with a focus on modern policy-as-code approaches, fine-grained access control, and support for initiatives like the evolving Auth stack.

We collaborate asynchronously across time zones and partner closely with Authentication, Product Security, Database, and Security teams to align on identity, data modeling, and threat modeling needs while iterating safely on core platform capabilities.

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

As a Customer Solutions Engineer (CSE), you will be the trusted technical advisor throughout a customer’s lifecycle. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Cloudflare platform to its fullest extent.

Responsibilities

As a critical member of the Account Team you will serve as a trusted technical advisor, help expand existing business, and ensure the success of our customers:

• You will be part of a regional team and will work closely with CSMs supporting the regional book of business

• From a technical perspective, as part of the account team, your primary responsibilities will be to deliver a timely and organized onboarding for customers, ensure customers see the full value in Cloudflare's products, and advise on technical best practices

• Ensure customer retention and expansion through relationship building and participation in periodic account reviews to contribute your expertise on technical topics

• Provide customers with clear proactive technical guidance and expertise across all our products

• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations

• Proactively identify opportunities for expansion for existing customers

• Promote retention by capturing and communicating gaps in product or features

• Contribute towards the success of the CSE organization through knowledge-sharing activities such as contributing to internal and external documentation, answering technical Q&A, and helping iterate on best practices

Experiences might include a combination of the skills below:

• 10 years of prior post-sales customer relationship management

• Deep understanding of how the internet works and the desire to expand that knowledge

• Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP

• Reverse and forward proxies and the applications of both

• Security aspects of an internet property, such as Firewalls, WAFs, Bot Management, Rate Limiting, (M)TLS, Zero Trust

• Performance aspects of an internet property, such as Speed, Latency, Caching, Video Streaming, HTTP/2, TLSv1.3

• Enjoying the adventure of troubleshooting and solving technical problems

• Understanding why Cloudflare plays an increasingly important role on today’s internet

• Ability to proactively identify and solve problems then build sustainable solutions to prevent recurrence

• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills

• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our CSEs are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.

• Ability to manage a project, work to deadlines, and prioritize between competing demands

• Fluent in English and Russian, Ukrainian, or Hebrew is a must.

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. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value on diversity and inclusion.

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

We're looking for an experienced Engineering Manager II to lead our Cache Infra team in building and operating large-scale distributed systems.

This role provides a unique opportunity to gain hands-on experience in building and operating large-scale distributed systems.

The team works on challenging, exciting, and impactful projects, including new cache stack, compute modernization initiatives, and innovations related to AI.

Responsibilities:

• Lead a high-performing team to build reliable, performant and efficient caching systems that operate at a huge scale and empower numerous business critical applications across the entire company.

• Lead a cross-functional strategic initiative to modernize the cache infra tech stack by adopting cutting-edge technologies.

• Maintain a high engineering standard for cache infrastructure, focusing on continuous improvement in reliability, scalability, performance, cost efficiency, and developer velocity.

• Drive the strategic migration of memcached from the current legacy deployment system to Kubernetes.

• Drive the team vision and strategy for the next 3 years and beyond.

• Help create a diverse and inclusive team culture that makes all feel welcome while encouraging critical thinking and candid feedback.

Requirements:

• 1+ years of Experience leading or managing engineering teams, including setting direction, driving execution, and supporting team members' growth.

• 5+ years of relevant industry experience

• Strong technical background in distributed systems and storage/caching systems.

• Hands on experience building and operating highly available, reliable, production grade systems at scale.

• Experience coding in one of the following languages: Java, Python and/or C/C++.

• Experience recruiting and managing technical teams, including performance management.

• Demonstrated experience leveraging AI to accelerate development, enhance operations, and improve customer support.

• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.

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

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments.

What this looks like day-to-day can vary based on the needs of each organization or role.

This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID #LI-CL5

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Strong candidates may also have experience with

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply

None. Applications will be reviewed on a rolling basis.

Annual compensation range

The annual compensation range for this role is £325,000-£390,000 GBP.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• 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.

Why work with us?

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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About the Role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Responsibilities:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Requirements:

• Significant software engineering experience, particularly with distributed systems
• Results-oriented, with a bias towards flexibility and impact
• Ability to pick up slack, even if it goes outside your job description
• Willingness to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Note: The salary range for this role is €235,000-€295,000 EUR per year.

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Your goal is to help customers be successful and derive the most value possible from their Cloudflare investment. As a CSE, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have natural curiosity and desire to identify root causes of unique problems and find the most elegant and efficient solutions.

Fundamentally, you are enamored with how the internet works. You will work closely with the Customer Success Manager (CSM) as well as every other team at Cloudflare, from Sales and Product to Engineering and Customer Support.

Responsibilities:

• Serve as a trusted technical advisor, help expand existing business, and ensure the success of our customers

• Be part of a regional team and work closely with CSMs supporting the regional book of business

• From a technical perspective, as part of the account team and your primary responsibilities, deliver a timely and organized onboarding for customers, ensure customers see the full value in Cloudflare's products, and advise on technical best practices

• Ensure customer retention and expansion through relationship building and participation in periodic account reviews to contribute your expertise on technical topics

• Provide customers with clear proactive technical guidance and expertise across all our products

• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations

• Proactively identify opportunities for expansion for existing customers

• Promote retention by capturing and communicating gaps in product or features

• Contribute towards the success of the CSE organization through knowledge-sharing activities such as contributing to internal and external documentation, answering technical Q&A, and helping iterate on best practices

• The role requires 20-50% travel to attend meetings with customers, attend conferences, and other industry events, and to collaborate with your Cloudflare teammates

Experiences might include a combination of the skills below:

• 5+ years of prior post-sales customer relationship management

• Deep understanding of how the internet works and the desire to expand that knowledge. For example:

• Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP

• Reverse and forward proxies and the applications of both

• Security aspects of an internet property, such as Firewalls, WAFs, Bot Management, Rate Limiting, (M)TLS, Zero Trust

• Performance aspects of an internet property, such as Speed, Latency, Caching, Video Streaming, HTTP/2, TLSv1.3

• Enjoying the adventure of troubleshooting and solving technical problems

• Understanding why Cloudflare plays an increasingly important role on today’s internet

• Ability to proactively identify and solve problems, then build sustainable solutions to prevent recurrence

• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills

• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our CSEs are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.

• Ability to manage a project, work to deadlines, and prioritize between competing demands

Bonus!

• Understanding of, or experience with, regulatory requirements such a PCI DSS, HIPAA, and SOC-2

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Key responsibilities include:

• Leading design reviews and driving architecture within the team
• Defining and owning SLIs/SLOs and ensuring post-incident actions land and reliability improves release-over-release
• Implementing advanced optimizations such as micro-batch schedulers, speculative decoding, and KV-cache reuse
• Strengthening incident posture through capacity planning, autoscaling policy, and rollback/traffic-shift strategies
• Mentoring IC1/IC2 engineers and reviewing cross-team designs to elevate coding/testing standards

We're looking for someone with strong coding skills in Python or Go, deep familiarity with networked systems and performance, and hands-on experience with Kubernetes at production scale. If you have experience with inference internals, batching, caching, mixed precision, and streaming token delivery, that's a plus.

In addition to a competitive salary, we offer a range of benefits including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO. We're committed to creating a work environment that's inclusive, diverse, and supportive of our employees' well-being.

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Key responsibilities include:

• Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones.
• Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release.
• Implement advanced optimizations (e.g., micro-batch schedulers, speculative decoding, KV-cache reuse) and quantify impact.
• Strengthen incident posture: capacity planning, autoscaling policy, graceful degradation, rollback/traffic-shift strategies.
• Mentor IC1/IC2 engineers; review cross-team designs and elevate coding/testing standards.

Requirements include:

• 3-5 years of industry experience building distributed systems or cloud services.
• Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance.
• Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry).
• Practical knowledge of inference internals: batching, caching, mixed precision (BF16/FP8), streaming token delivery.
• Proven track record improving tail latency (P95/P99) and service reliability through metrics-driven work.

Preferred qualifications include contributions to inference frameworks, experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies, and leading multi-team initiatives or partnering with customers on mission-critical launches.

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This involves working with other engineers to define, build, and shape the future of Airbnb's Listings and Quality related product flows, such as reviews, performance insights, and supply onboarding and management.

The team is highly collaborative with its partners in design, product, data science, legal, and marketing to deliver features and experiences used by millions of people.

We work closely with other engineering teams to ensure we build systems that are performant and configurable with architecture that's scalable and robust.

A typical day involves working closely with senior leaders to define and drive critical product systems that enable the company's future vision, collaborating with cross-functional partners to design and deliver high-quality user experiences, and establishing a technical vision and leading efforts to architect, build, and launch reliable, performant, and scalable solutions for Quality-related products.

Your expertise includes 10+ years of relevant experience in the tech industry, with 1+ years of experience in an Architect or Staff Engineer role, and a strong sense for product experience and business outcomes.

You're also expected to have excellent engineering and coding skills, and experience working with GraphQL and REST APIs, solid understanding of client networking, performance, caching, client storage solutions, accessibility, and asynchronous programming.

The role requires strong communication and collaboration skills with both technical and non-technical partners, and the ability to influence non-technical partners such as product managers, design, and the business to develop a unified approach to overall architecture and product/design capabilities.

The position is US-Remote Eligible, and you must live in a state where Airbnb, Inc. has a registered entity.

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems.

We are looking for an experienced Staff Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product.

Job Duties and Responsibilities:

• Work with senior engineering team in major development projects, design and implementation
• Be a key contributor in the implementation of the LCM infrastructure
• Troubleshooting customer issues and debugging from logs (Splunk, Syslogs, etc.)
• Design & Implement features with functional and unit tests along with monitoring and alerts
• Conduct design & code reviews, analysis and performance tuning
• Quick prototyping to validate scale and performance
• Provide technical leadership and mentorship to more junior engineers
• Interface with Architects, QA, Product Owners, Engineering Services, Tech Ops
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work

Required knowledge, skills, and abilities:

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure
• 4+ years of Software Development in Java, preferably significant experiences with Hibernate and Spring Boot
• 2+ years of development experience building services, internal tools and frameworks
• 2+ years experience automating and deploying large scale production services in AWS, GCP or similar
• Deep understanding of infrastructure level technologies: caching, stream processing, resilient architectures
• Experience working with relational databases, ideally MySQL, PostgreSQL or GraphDB
• Ability to work effectively with distributed teams and people of various backgrounds
• Lead and mentor junior engineers

Nice to haves:

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD.
• Experience with UI development or javascript frameworks
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM

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Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.

We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.

Specifically, we are looking for you to:

• Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue
• Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept
• Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline
• Evangelize and represent Cloudflare through technical thought leadership and expertise
• Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers

You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.

Examples of desirable skills, knowledge and experience include:

• Fluency in Dutch and English (verbal and written)
• Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders
• Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)
• Experience managing technical sales cycles end-to-end
• Ability to articulate business value and ROI of technical solutions, not just features
• Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)
• Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting
• Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN
• Cloud networking concepts: VPCs, peering, interconnect
• DDoS attack types (L3/L4/L7) and mitigation strategies
• Web Application Firewall (WAF) rule configuration and tuning
• VPN concepts and their limitations relative to Zero Trust approaches
• API security: API Gateway, rate limiting, schema validation, abuse prevention
• Bot management concepts and detection techniques
• SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)
• Zero Trust Network Access (ZTNA) vs. traditional VPN architecture
• HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics
• Detailed understanding of the flow from user to application, including hybrid cloud architectures
• Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)
• Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)
• Cloudflare Workers and the edge compute model (JavaScript/TypeScript)
• Familiarity with related primitives: KV, Object storage, serverless compute
• Familiarity with the competitive landscape across Cloudflare's product areas
• Understanding of why customers move from on-premises appliances to cloud-delivered security
• Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare

We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we'd love to hear from you.

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

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As a Staff Software Engineer on the Imports Platform team, you will be a technical leader who independently owns projects end-to-end, from ideation and architectural design through implementation, deployment, and operational excellence. You will drive technical strategy, make critical architectural decisions, and influence both your immediate team and cross-team initiatives.

You will work on complex distributed systems challenges including massive-scale batch processing, real-time synchronization, and user matching algorithms that serve thousands of enterprise customers. This role requires strong technical leadership, strategic thinking, and the ability to balance short-term delivery with long-term platform health.

You will mentor senior and junior engineers, partner with Product Management on feature strategy, and help shape the future of Okta's Imports platform. This is a hybrid position requiring a blend of remote and in-office collaboration.

Responsibilities:

• Provide technical leadership on major development projects, including architectural design and implementation strategy
• Independently own and deliver projects end-to-end within the team, including technical prioritization and tradeoffs
• Generate design ideas and solutions for ambiguous problems, taking complete ownership from conception through production impact
• Design and architect core, high-performance, scalable software components with full ownership of all production aspects (scalability, reliability, monitoring, alerting, resource efficiency, testing, documentation)
• Lead technical design discussions and guide the team in making architectural decisions
• Drive the migration strategy from monolithic to microservices architecture, including planning, scoping, and execution
• Interface extensively with cross-functional teams (Architects, QA, Product, Technical Support, Documentation, UX, and SRE) to deliver comprehensive import and sync solutions
• Analyze and refine requirements with Product Management, partnering on product features and helping define the 'how'
• Conduct code reviews with focus on systems design, reliability, performance, scalability, security, and maintainability
• Share knowledge widely, coordinate across teams, and manage risk and dependencies for projects
• Work with QA and SRE teams to define comprehensive testing strategies and operational excellence practices
• Independently troubleshoot complex production incidents spanning the home team, perform root cause analysis, and drive operational improvement projects
• Use data and metrics to drive technical decisions and validate the impact of architectural changes
• Mentor and provide technical guidance to senior and junior engineers on the team
• Help resolve difficult customer issues and work closely with Field teams and CSMs to identify patterns and drive product improvements
• Participate in group strategy discussions and help break down strategic initiatives into actionable technical milestones
• Proactively identify and advocate for improvements in team velocity, engineering practices, and operational processes
• Drive improvements in observability, monitoring, and production support capabilities

Required Knowledge, Skills, and Abilities:

• 7+ years of software development experience building highly-reliable, mission-critical software at scale
• Deep expertise with object-oriented languages, particularly Java, with proven ability to architect large-scale systems
• Expert-level knowledge of Spring Boot framework, Maven, and modern Java development practices
• Deep understanding of infrastructure-level technologies: distributed systems, caching strategies, stream processing, resilient architectures
• Solid experience with data stores including relational databases (MySQL), caching layers (Redis), and cloud storage (S3)
• Experience with one or more Directory services: Active Directory, LDAP, Office 365, Azure AD
• Strong experience with RESTful APIs, gRPC, and microservices architecture patterns
• Proven track record of working with systems at massive scale, including batch processing and real-time sync capabilities
• Experience with cloud platforms (AWS, GCP) including services like SQS, S3, and multi-region architectures
• Strong understanding of distributed job processing, message queues, and event-driven architectures
• Demonstrated ability to lead technical projects independently and influence cross-team initiatives
• Excellent communication skills with ability to share information widely and coordinate across teams
• Strong mentorship capabilities with experience guiding senior and junior engineers
• Customer-focused mindset with experience working with Field teams to resolve complex issues
• Strategic thinking ability to participate in and contribute to platform strategy
• Experience with operational excellence including incident management, root cause analysis, and driving systemic improvements

Nice to Haves:

• Experience with Protocol Buffers (Protos) and building event-driven systems
• Experience with server-side technologies including advanced caching, asynchronous processing, multi-threading, and concurrency patterns
• Experience in Test-Driven Development (TDD) and automated testing strategies
• Deep knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM, LDAP
• Experience with Microsoft Azure management APIs, Microsoft Graph API, Office 365, or ADFS
• Experience automating and deploying large-scale production services in AWS, GCP, or similar cloud platforms
• Experience with feature flag frameworks and gradual rollout strategies for large-scale migrations
• Understanding of user matching, correlation algorithms, and identity resolution at scale
• Experience with observability platforms, creating comprehensive monitoring and alerting strategies
• Experience migrating monolithic applications to microservices architecture
• Knowledge of data modeling for graph databases and relationship management
• Experience with incremental sync, delta detection, and change data capture patterns
• Background in building resilient systems with retry logic, circuit breakers, and failure handling
• Experience with performance optimization and capacity planning for high-throughput systems

Education and Training:

B.S. Computer Science or related field

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is an enterprise-grade identity management platform, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta, organisations can manage access across any application, person or device. Whether the people are employees, partners or customers or the applications are in the cloud, on premises or on a mobile device, Okta helps organisations become more secure, make people more productive, and maintain compliance.

The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems.

We are looking for an experienced Principal Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product.

Ideal candidate should be Hands-on expert developer in Java who is deeply technical with a passion for building high-quality, secure, and performant applications and frameworks. Demonstrable experience leading technical projects involving more than 20 engineers across multiple workstreams Excited by the opportunity to work on cutting-edge security and identity management challenges and are a thought leader who can drive technical strategy and mentor other engineers.

A collaborative individual with excellent communication skills, capable of working with cross-functional teams to deliver on a shared vision. Not just be a builder; but a force multiplier who can create frameworks and solutions that enable other teams to be more productive.

This role is to build, design solutions, and maintain our platform for scale. The ideal candidate is someone who has experience building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.

Job Duties And Responsibilities

• Work with senior engineering team in major development projects, design and implementation
• Lead the architectural design and implementation of new features and services, with a focus on scalability, performance, and security.
• Collaborate with product managers, architects, and other engineering teams to define the technical strategy and lead the prototyping of software components.
• Directly oversee and coordinate complex technical initiatives involving 20+ engineers, ensuring alignment across disparate sub-teams
• Drive a culture of engineering excellence and continuous improvement, with a focus on robust testing, monitoring, and operational excellence.
• Stay up-to-date with the latest industry trends and technologies in identity, security, and distributed systems.
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work.

Required Knowledge, Skills, And Abilities

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure
• 15+ years of Software Development in Java, preferably significant experience with Hibernate and Spring Boot
• A deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• 4+ years experience automating and deploying large scale production services in AWS, GCP or similar
• Deep understanding of infrastructure level technologies: caching, stream processing, resilient architectures.
• Experience working with relational databases, ideally MySQL, PostgreSQL or GraphDB
• Strong communication skills and the ability to work across functions, distributed teams.
• Lead and mentor junior engineers

Nice to haves:

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience with security best practices and threat modeling
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM

Education

• B.E. Computer Science or equivalent

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You'll gain hands-on experience with our products, learn the inner workings of Cloudflare's offerings, and continue to extend and deepen your understanding of foundational internet technologies. This role also provides opportunities to develop valuable technical and professional skills as well as job shadowing experiences to explore different roles within the company.

Responsibilities:

• Own the toughest technical challenges and escalations within the scope of the Customer Support while maintaining high standards of individual and team performance
• Maintain clear, timely, and productive communications with customers via our ticketing system and phone support channels
• Become a go-to resource for technical and process knowledge inside and outside the Support organization
• Proactively identify and execute on opportunities for team growth and improvement
• Assist with training and mentoring other team members
• Help create and update technical documentation and runbooks
• Provide feedback on our product and potential improvements based on customer interactions
• Support the team in testing new releases and reporting bugs
• Perform other duties/projects as assigned

Required Skills and Experience:

• 5-7 years of experience working in a technical Customer Support role supporting large enterprise and SMB clients
• Excellent written and verbal communication skills
• Self-driven and comfortable learning new technologies and systems on an ongoing basis
• Strong understanding of how the Internet works at OSI Model layers 3, 4, and 7
• Strong understanding of DNS, SSL/TLS, and HTTP(S) protocols
• Strong understanding of HTTP reverse proxying, caching, and load balancing
• Experience using Linux and associated command line tools, including curl, dig, traceroute, openssl, git, etc.
• Experience writing scripts in Bash, Python, JavaScript, or other scripting languages

Preferred Skills and Experience:

• Prior experience with the Cloudflare platform, especially for personal projects/websites
• Experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels
• Experience configuring network or application firewalls
• Experience with web development and/or web hosting
• Degrees or certifications in Computer Science, Information Technology, and related fields
• Fluency in Mandarin, Spanish, and/or Portuguese

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This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions.

As a Software Engineer on this team, you will participate in all phases of the software development life cycle, including requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments, and on-call support.

In this role, you'll:

• Design and implement real-time services with high throughput and low latency requirements, verify, deploy, and operationalize them

• Work closely with stakeholders to understand customer needs and devise and deliver simple, robust, and scalable solutions

• Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects, and cross-functional teams

• Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity

• Figure out novel ways of solving customer problems for the Voice channel

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

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Key responsibilities include:

• Owning the design and evolution of the build, test, and release systems that power the platform.
• Defining architecture for a Bazel-based monorepo, including performance, caching, and dependency graph scalability.
• Improving build performance and correctness, including incremental builds, caching strategies, and graph optimisation.
• Designing and operating test infrastructure, focusing on reliability, isolation, and signal quality.
• Building and improving release and rollout systems, including deployment pipelines, canarying, and rollback.
• Improving end-to-end developer velocity, from local iteration to production deployment.
• Debugging and resolving complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
• Establishing standards for reproducibility, observability, and operability across build and release systems.
• Identifying and eliminating systemic failure modes across the development lifecycle.

Requirements include:

• 10 or more years of experience building and operating production systems at scale, with ownership of critical infrastructure.
• Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
• Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
• Strong systems understanding of how code moves from source to build to test to production.
• Hands-on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
• Experience owning systems with strict reliability and performance requirements.
• Strong proficiency in at least one of Python, Go, or Rust, and comfort working across languages in a polyglot codebase.
• Proven ability to define architecture and drive technical decisions end-to-end.
• Strong judgment in balancing developer velocity, system complexity, and reliability.
• Ability to operate effectively in ambiguous, fast-moving environments with high ownership.

Preferred qualifications include deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimisation, as well as experience designing hermetic and reproducible build systems.

At World Labs, we're looking for fearless innovators who thrive on challenges and aren't afraid to tackle the impossible. We're resilient builders who can weather the storms of groundbreaking research and come out stronger. We're mission-driven, collaborative, and passionate about creating the best spatially intelligent AI systems, and using them to empower people.

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On this team, you will build and operate the ML infrastructure and product services that enable trust and intelligence across Plaid's network. You'll own feature engineering, offline training and batch scoring, online feature serving, and real-time inference so model outputs directly power partner-facing fraud & trust products and bank intelligence features.

Responsibilities

• Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows).
• Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact).
• Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses.
• Build and operate offline training pipelines and production batch scoring for bank intelligence products.
• Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring.
• Implement model CI/CD, model/version registry, and safe rollout/rollback strategies.
• Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs.
• Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions.
• Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).
• Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance.
• Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines).
• Mentor engineers and document team standards for ML productization and operations.

Qualifications

• Must-haves:
• Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred).
• Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark.
• Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference.
• Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics.
• Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response.
• Nice to have:
• Experience in fraud, risk, or marketing intelligence domains.
• Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines.
• Experience with graph frameworks, graph feature engineering, or sequence embeddings.
• Experience optimizing inference at scale (Triton/ONNX/quantization, batching, caching).

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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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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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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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

• We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

• We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

• We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

Cyngn is building a cloud platform that helps customers monitor, manage, and optimize fleets of autonomous industrial vehicles in real time. As a Full Stack Engineer (Mid–Senior), you’ll ship features end-to-end,from Python backend services to TypeScript/JavaScript frontends,on a small, high-impact team.

Responsibilities

• Build customer-facing web experiences: fleet dashboards, live views/maps, alerts, admin tools, and reporting using TypeScript/JavaScript.

• Build and evolve backend services in Python that power fleet operations, integrations, data ingestion, and analytics.

• Design and implement reliable APIs (REST and/or gRPC) that are well-documented and easy to integrate with customer systems.

• Deliver real-time features (live vehicle state, events, notifications, operator workflows) using WebSockets and event-driven patterns.

• Support “physical AI” workflows by connecting cloud software to autonomy/robotics systems,telemetry pipelines, command-and-control surfaces, and operational tooling that interacts with vehicles in the real world.

• Use modern AI tools and agents to move faster and raise quality (and help build customer-facing copilot experiences where it makes sense).

• Contribute to digital-twin simulation + validation loops (where applicable): support workflows that use simulation to test behaviors, validate releases, and reproduce field issues.

• Raise engineering quality through testing, code reviews, observability, and pragmatic reliability/performance improvements.

• Own meaningful chunks of the product: shape solutions, make tradeoffs, and drive work to completion.

Qualifications

• 2–4+ years of professional software engineering experience.

• Strong production experience with:

  • Python (backend services, APIs, data workflows)

  • TypeScript or JavaScript (frontend)

  • You’ve shipped and supported user-facing web applications (not just internal tools).

  • You’re comfortable building APIs and working with databases (SQL preferred; NoSQL is a plus).

  • You communicate clearly, take ownership, and bring a low-ego, collaborative approach.

  • You care about software that’s reliable in production, not just “works locally.”

Bonus Qualifications

• Real-time systems experience: WebSockets, SSE, streaming updates, pub/sub.

• Event-driven systems / messaging: Kafka, RabbitMQ, Pulsar, etc.

• Experience with telemetry-heavy or operational products: IoT, robotics, autonomy, fleet/dispatch, industrial software.

• Experience building analytics features: reporting, aggregations, operational metrics, customer-facing insights.

• Familiarity with scaling patterns: caching, background jobs, rate limiting, performance tuning.

• Strong habits using AI coding assistants/agents responsibly (verification, testing, high-signal reviews).

• Exposure to physical AI simulation tooling (e.g., NVIDIA Omniverse / Isaac Sim) or similar environments.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Remote or hybrid work opportunities

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees

• Monthly meal and tech allowances for remote employees

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About the role:

At Cresta, the Voice Platform team is on a mission to transform real-time voice infrastructure and contact center automation through AI-powered backend systems. As a Senior Software Engineer on the Voice Platform team, you’ll be responsible for designing, scaling, and operating the distributed services that power Cresta’s voice ecosystem. You’ll drive major initiatives in areas such as SIP and WebRTC support, multilingual and translation pipelines, and real-time conversation intelligence.

Responsibilities:

• Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services).
• Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems.
• Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation.
• Build systems that power conversation intelligence for both remote and in-person interactions.
• Improve observability, reliability, and self-service troubleshooting across the platform.
• Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud.
• Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments.
• Provide technical guidance, mentorship, and best practices to other engineers on the team.

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in backend system development, distributed systems, or cloud infrastructure.
• Expertise in Go (or a similar systems language) with strong API and service design skills.
• Proven experience with scalable architectures using microservices, workflow orchestration, distributed caching, and cloud databases.
• Strong knowledge of Kubernetes, Docker, and modern cloud infrastructure.
• Solid understanding of networking, real-time communication protocols, and cloud security best practices.
• Demonstrated ability to lead complex technical projects from design through production.
• Bonus: experience with voice systems, telephony, or real-time media platforms.

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As a Senior Software Engineer, you'll work on high-impact systems problems such as:

• Optimizing metadata management, caching, and replication across thousands of nodes.
• Designing concurrent, fault-tolerant services for multi-region and multi-cloud environments.
• Evolving Alluxio's storage abstraction and scheduling layer to support large-scale AI/ML data pipelines.
• Collaborating with internal product teams to push the limits of distributed I/O performance.

This is a hands-on, architecture-plus-implementation role for engineers who love deep systems work and want visible impact in a small, senior, highly technical team.

What You'll Own

• Cache and metadata enhancements - design and implement improvements to caching policies, eviction logic, and metadata scalability to increase performance and reliability.
• Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques.
• Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large-scale clusters.
• Feature development and integration - collaborate with product and solution-engineering teams to deliver features that support AI and analytics workloads.
• Code quality and peer collaboration - participate in design reviews, provide constructive feedback, and ensure robust testing and observability in production systems.

What We're Looking For

• Strong computer-science fundamentals and a passion for large-scale distributed systems.
• Professional experience developing in Java, C++, or Go.
• Practical knowledge of concurrency, replication, distributed coordination, and performance tuning.
• Experience with distributed storage, caching, or data-access layers (e.g., Spark, Presto, Hadoop, Kubernetes).
• Bachelor's or advanced degree in Computer Science or related technical field (or equivalent experience).

Why Alluxio?

• Build infrastructure trusted by the world's largest AI and data-driven companies.
• Join a small, senior engineering team where your designs shape the product's evolution.
• Work directly with the original creators of open-source Alluxio.
• A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.

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Responsibilities

• Define the long-term vision and roadmap for Alluxio's AI data platform, covering inference, training, and agentic workloads.
• Collaborate with engineering to design features that deliver high-throughput, low-latency data access (e.g., GPU-aware caching, streaming reads, tiered prefetching).
• Ensure seamless integration with frameworks like PyTorch, TensorFlow, Ray, and Triton; evolve Alluxio's APIs for AI-native workloads.
• Engage directly with enterprise AI teams to understand workload patterns, validate impact, and prioritize roadmap direction.
• Stay ahead of trends in multi-model serving, retrieval-augmented generation (RAG), and agentic orchestration; translate them into actionable product plans.

Requirements

• 5–9 years of experience in product management or technical leadership within AI infrastructure, ML platforms, or distributed systems.
• Strong understanding of AI/ML workflows , from model training and deployment to inference and data-access pipelines.
• Proven track record of delivering infrastructure features that improve latency, GPU utilization, or total cost of ownership.
• Technical fluency with distributed systems, caching, and cloud orchestration (Kubernetes, AWS/GCP/Azure).
• Familiarity with AI frameworks such as PyTorch, TensorFlow, Triton, Ray, or LangChain.
• Exceptional communication and strategic thinking , ability to translate complex systems work into clear, prioritized roadmaps.

Benefits

• Shape how the world's most advanced AI systems access and process data.
• Work at the intersection of distributed systems, AI acceleration, and open source.
• Collaborate with world-class engineers, researchers, and customers driving the AI frontier.
• Competitive compensation and equity package with comprehensive benefits.
• A culture built on curiosity, empathy, and deep technical rigor.

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We are looking for a Backend Infrastructure Engineer with strong experience in building and maintaining backend services that power developer infrastructure. While our current systems handle relatively low traffic, the focus is on reliability, testability, observability, and migration readiness.

A key part of this role is to help migrate existing Python-based services to Java, ensuring better alignment with Spotify’s monorepo and future automation strategies.

Responsibilities

• Design, maintain, and evolve backend services supporting our CI infrastructure.
• Improve local development and testing loops to reduce the need for full deployments during validation.
• Drive service migrations (e.g., from Python to Java) and assist in refactoring for scalability and maintainability.
• Implement robust monitoring, logging, and alerting practices for better visibility and debugging.
• Contribute to documentation , especially around service setup, testing, and troubleshooting.
• Collaborate with cross-functional teams to improve developer experience and CI efficiency.
• Help shape our technical roadmap for infrastructure evolution, focusing on automation and resilience.

Requirements

• Strong backend engineering experience with Java and Python.
• Familiar with microservice architecture, Kubernetes, and caching strategies.
• Experienced in designing maintainable, testable, and observable systems.
• Skilled at writing clear and thorough documentation for services and processes.
• Comfortable working on CI/CD infrastructure, including tools like gRPC/Protobuf, Bazel, and Git.
• Strong understanding of service migrations, from design to execution.
• Collaborative and proactive; able to work autonomously while aligning with broader team goals.
• Bonus: Experience working with Spotify’s internal client CI systems or Windows environments.

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).
• This team operates within the Central European and GMT time zone for collaboration.

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Responsibilities: Lead a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success. Partner with Engineering Managers to create roadmaps that deliver milestones toward a cohesive engineering vision. Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet user needs. Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion. Work with high-visibility teams and their stakeholders to support the Infrastructure's key engineering initiatives. Provide hands-on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for team members. Build amazing end-to-end API, developer experiences, and Stripe's public API infrastructure and tooling. Ensure our APIs are secure, reliable, and performant while solving product problems and building delightful API and developer experiences for our users. Building the future of the Stripe API and scaling Stripe's API Infrastructure while working with product teams to extend the capabilities of our APIs.

Requirements: 10+ years of technical experience or 7+ years in infrastructure/platform engineering field 5+ years in a strategic technical leadership role Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g., building internal or external developer products). Hands-on experience building infrastructure and products for internal or external customers. Proven track record of delivering pragmatic solutions that accelerate business growth. Ability to adjust conversations from high-level discussions to detailed coding. Thrives on a high level of autonomy and responsibility. Clear and persuasive writing and in-person communication. Strong problem-solving skills, critical thinking, determination, and a growth mindset. Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high-level psychological safety for all team members and partners. Proficient in at least one of the programming languages (Java, Ruby, Python, Go).

Preferred qualifications: Strong written and verbal communication skills for different audiences (leadership, users, company-wide). Experience with a variety of common infrastructure platforms (databases, logging, event streams, metrics, caching, etc). Experience leading partially remote teams. Experience developing sustainable, in-house framework and abstraction ecosystems in large engineering orgs. Experience building serverless platforms. Experience managing rigorous incident response processes and on-call rotations.

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Just 13 miles south of Manchester and a 15-minute train journey, is the attractive market town of Wilmslow. Here amongst the boutique shops and independent cafes and bars is the stunning Playdemic studio. Acquired by EA in 2021, Playdemic is home to the top 10 grossing, BAFTA-winning mobile smash – Golf Clash. Having opened at the beginning of 2020, our award-winning, bespoke studio space offers conventional desk space and indulgent breakout areas, meeting rooms and alternative workspaces. The office has been ridgeline-designed to create an environment that encourages and allows our team to do their very best work.

The Golf Clash Team is searching for an experienced Software Engineering Leader with a primary background in Server Programming to provide technical leadership across our online systems while line-managing a small group of server engineers. Reporting to the Game Technical Director, you'll architect and deliver scalable backend features for a live mobile title, own and evolve our CI/CD and deployment infrastructure, and partner with design, production, client, QA and CS to ship high-quality features safely and at pace. You will blend hands-on engineering with elements typical of an Associate TD (technical direction, architecture, cross-domain planning) and selected aspects of Software Engineering Management (people leadership, stakeholder alignment, process improvement).

This role is located at our Wilmslow-based office, working in a hybrid capacity, including 3 days in office.

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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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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!

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BlackRock's Securities Lending business generates both incremental alpha for clients and significant firm revenue—about $3B in gross revenue, including $700M in direct revenue. The business is run by BlackRock Global Markets and Index Investments (BGM), with operations supported by GIO, and is used by 150+ global users through the SecLending Technology Platform. With 90% of trades executed automatically and ~140 orders per second, the platform operates as a high availability, low latency system.

Securities Lending (SecLending) involves temporarily transferring securities to a borrower for a fee while the lender retains ownership, with the borrower returning the securities on demand or at the end of the agreement.

About Aladdin

Aladdin is an operating system for investment managers that connects the information, people, and technology needed to manage portfolios in real time. The platform combines sophisticated risk analytics with comprehensive portfolio management, trading, compliance, and operations tools to power informed decision-making, effective risk management, and scalable operational workflows. Aladdin is delivered to a global community of over 1,000 clients, with more than 100,000 end users worldwide.

Job Overview

For Securities Lending to remain market leading, we are not only transforming the capabilities we offer to our clients but also invest in the re-architecture and modernization of the underlying platform and infrastructure. We must evolve Aladdin’s Sec Lending technology delivering a resilient, AI enabled, API-first platform that enables business growth, scale and automation, operational efficiency, and data driven decision making, while positioning Sec Lending technology as a commercial-grade product.

As Engineer in Inventory Management Squad, your responsibility involves design, build and maintain all Aladdin workflows related to managing the universe of lendable inventory and broadcasting available inventory to platforms and borrowers. This includes but is not limited to, reference data, Analytics, Signals, Grouping & Strategies, Trading Overlays and publishing inventory and targeted availability. Complexity of the Securities Lending business may require “cross-squad” partnership.

Responsibilities

• Design, build and deploy Securities Lending apps end to end owning frontend, backend APIs, data/AI features.
• Write reusable, maintainable, and extensible code, and create documentation for team members.
• Collaborate with cross-functional, globally distributed teams to deliver high-performing and reliable software solutions aligned with business goals.
• Champion a culture of quality within the organization, driving awareness and consistency with Quality standards.
• Guide and mentor junior team members from both technical and functional standpoint. Foster a culture of continuous improvement and accountability within the team.
• Break down complex technical problems into clear, actionable tasks and make informed architectural decisions that balance long-term strategy with short-term needs.
• Proactively identify project risks, create mitigation plans, and escalate issues when necessary to maintain project timelines and quality.
• Oversee production readiness, early life support, and post-release stability including root cause analysis and remediation strategies.
• Stay current with emerging technologies (including Kafka and other streaming platforms), assess their potential impact, and guide their adoption within product and platform roadmaps.
• Promote continuous learning and facilitate upskilling initiatives to match evolving tech landscapes.
• Operate independently with minimal supervision while providing strategic guidance to junior engineers and stakeholders alike.
• Some experience or a real interest in finance, investment processes, and an ability to translate business problems into technical solutions. Exposure to Securities Lending is a bonus but not mandatory skill.
• Experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups.

Nice to have and opportunities to learn

• Exposure to building microservices and APIs ideally with REST, Kafka or gRPC.
• Experience working in an agile development team or on open-source development projects.
• Experience with optimization, algorithms or related quantitative processes.
• Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis
• Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud
• Experience with DevOps and tools like Azure DevOps
• Experience with AI-related projects/products or experience working in an AI research environment.
• A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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The Document Intelligence Platform is BlackRock's solution for document processing, content management, and data distribution within alternative investments—serving portfolio managers, fund analysts, and investment professionals across the firm.

As a Vice President, you will be a senior technical leader responsible for architecture, delivery, and operational excellence across the full stack. You will lead a team of software engineers, drive technical strategy, collaborate with senior stakeholders, and ensure our platform scales to meet evolving business needs.

Key Responsibilities

Technical Leadership & Architecture (35%)

• Define and evolve the technical architecture across frontend and backend systems

• Lead strategic direction of the document processing engine, content management services, and data distribution layer

• Champion engineering best practices: code quality, testing, security, and observability

• Evaluate new technologies and provide guidance on complex system design decisions

• Drive technical innovation while maintaining production stability

Team Leadership & Development (30%)

• Build, lead, and mentor a high-performing team of 3-8 software engineers

• Set team goals, conduct performance reviews, and drive career development

• Foster a culture of technical excellence and continuous improvement

• Recruit top engineering talent and develop team competencies

• Champion agile practices and efficient delivery processes

Delivery & Execution (20%)

• Ensure timely, high-quality delivery of platform features

• Oversee production operations, incident management, and system reliability (SLAs/SLOs)

• Balance technical debt management with feature development

• Drive automation of build, test, and deployment processes

• Ensure compliance with security, regulatory, and audit requirements

Stakeholder Management & Communication (15%)

• Partner with Product Management to define technical roadmaps

• Communicate technical strategy to senior leadership

• Articulate technical concepts and trade-offs to non-technical audiences

• Manage expectations and negotiate scope, timelines, and resources

Technical Expertise

Backend Technologies (Expert Level)

• C# / .NET (.NET 6/7/8, ASP.NET Core)

• SQL Server – database design, optimization, stored procedures, indexing strategies

• Entity Framework Core – ORM patterns and performance optimization

• RESTful API design and implementation

• Microservices architecture – service decomposition, inter-service communication

• Message queues and event-driven architecture (Azure Service Bus, Kafka)

• Caching strategies (Redis, in-memory caching)

Frontend Technologies (Strong Proficiency)

• React and TypeScript – modern frontend development

• Redux and state management patterns

• Single-spa or micro-frontend architectures

• SCSS/CSS – responsive design and component styling

Cloud & DevOps

• Microsoft Azure services (extensive experience), including:

  • Azure App Service, Azure Functions, Blob Storage

  • Azure SQL Database, Cosmos DB, Redis Cache

  • Application Insights, Key Vault, Azure DevOps

• Infrastructure as Code (Terraform, ARM templates, Bicep)

• CI/CD pipeline design and implementation

• Git workflows and branching strategies for large teams

• Monitoring and observability (Application Insights, Grafana)

• Performance engineering and scalability optimization

Architecture & Design

• Microservices architecture – service patterns, API gateways, service mesh

• Clean / Hexagonal Architecture principles

• Domain-Driven Design (DDD) concepts

• API design (OpenAPI/Swagger, versioning strategies)

• Authentication and authorization (OAuth 2.0, JWT, OIDC)

• Security architecture and threat modeling

• Data architecture and data modeling

• High availability and disaster recovery design

Experience & Background

• 8-12+ years of professional software engineering experience

• 5+ years in technical leadership roles

• 3+ years experience leading teams of 3+ engineers

• Proven track record delivering large-scale, mission-critical systems

• Deep expertise in full-stack development

• Strong background in financial services technology preferred

• Experience with cloud-native architectures on Azure

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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Constructor is seeking a Backend Engineer to join our Retail Media team. As a Backend Engineer, you will design, deliver, and maintain web services in close collaboration with other engineers.

Key Responsibilities

• Build, deploy, and support services using Python and FastAPI
• Write AWS CloudFormation scripts, Jenkins jobs, and GitHub actions following best industry standards
• Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch)
• Implement CI/CD pipelines and separate stability testing
• Collaborate with technical and non-technical business partners to develop and update functionalities

Requirements

• Strong computer science background and familiarity with networking principles
• Experience in designing, developing, and maintaining high-load real-time services
• Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources
• Hands-on experience with setting up and improving CI/CD pipelines
• Proficiency in Python
• Experience in server-side coding for web services and a good understanding of API design principles
• Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty
• Familiarity with Service-Oriented Architecture and knowledge of communication protocols like protobuf
• Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena)
• Experience with any of the major public cloud service providers: AWS, Azure, GCP
• Experience collaborating in cross-functional teams
• Excellent English communication skills

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity and 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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We're looking for a Senior Fullstack Engineer to join our Recommendation Cross-Channel & Offsite Discovery team. As a key member of our team, you will help us build our Customer Dashboard interface for customers to easily manage their marketing campaigns.

Responsibilities

• Implement New Features: Develop customer dashboard features using TypeScript and React. These features will interact with our backend services, which are built with Python and FastAPI.
• Innovate and Strategize: Participate in brainstorming sessions to develop new features and tools that will shape the future of Offsite Discovery.
• Collaborate on Functionality: Work with both technical and non-technical business partners to develop and update application functionalities.
• Communicate with Stakeholders: Keep stakeholders, both inside and outside the team, informed about project progress and developments.

Requirements

• Strong foundation with client-side JavaScript, computer science background & familiarity with networking principles.
• Solid experience with TypeScript and frontend frameworks like React.
• Experience building, maintaining, and debugging full-stack web applications.
• Experience with Python and one of the backend frameworks like FastAPI, Flask or Django, or willingness to learn and work with this stack.
• Good understanding of API design principles.
• Familiarity with Service-Oriented Architecture (SOA).
• Experience with relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL).
• Analytical skills and experience with SQL to gather insights into dashboard reports and solutions (ClickHouse, Athena).
• Experience with any of the major public cloud service providers: AWS, Azure, GCP.
• Experience collaborating in cross-functional teams.
• Excellent English communication skills.

Nice to Have

• Familiarity with serverless design patterns, particularly with AWS Lambda.
• Experience working in remote environments.

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.
• This position has a base salary range between $80k and $120k USD.

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

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Constructor is seeking a Senior Backend Engineer to join our Recommendations team. As a key member of our engineering team, you will design, deliver, and maintain high-load real-time web services in close collaboration with other great engineers.

Key Responsibilities

• Build, deploy, and support robust recommendations services, including io-bound web services, cpu-bound services, and data services
• Write AWS CloudFormation scripts, Jenkins jobs, and GitHub actions following best industry standards
• Set up service observability, monitoring metrics, and alerting using Prometheus, Grafana, PagerDuty, and AWS CloudWatch
• Implement CI/CD pipelines and separate stability testing for recommendations needs
• Collaborate with technical and non-technical business partners to develop and update recommendations functionalities
• Communicate with stakeholders within and outside the team

Requirements

• Strong computer science background and familiarity with networking principles
• Experience in designing, developing, and maintaining high-load real-time services
• Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources
• Hands-on experience with setting up and improving CI/CD pipelines
• Proficiency in a scripting language like Python and, as a plus, in compiled languages like Go or Rust
• Experience in server-side coding for web services and a good understanding of API design principles
• Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty
• Familiarity with Service-Oriented Architecture and knowledge of communication protocols like protobuf
• Experience with NoSQL and relational databases, distributed systems, and caching solutions
• Experience with any of the major public cloud formations: AWS, Azure, GCP
• Experience collaborating in cross-functional teams
• Excellent English communication skills

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity and 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

Diversity, Equity, and Inclusion at Constructor

At Constructor.io, we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or affiliation in any other protected group.

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Constructor is seeking a Senior Full Stack Engineer to join its Retail Media team. The primary focus of this job is to design, deliver & maintain a web application in close collaboration with other engineers.

Key Responsibilities

• Work collaboratively with Product and Design teams to build Retail Media functionality.
• Collaborate with technical and non-technical business partners to develop / update functionalities.
• Communicate with stakeholders within and outside the team.
• Deliver Customer dashboard features using Typescript and React, collaborating with backend services (Python and FastAPI).

Requirements

• Strong foundation with client-side JavaScript, computer science background & familiarity with networking principles.
• Solid experience with Typescript and frontend frameworks like React.
• Experience building, maintaining, and debugging full-stack web applications.
• Experience with Python and one of the backend frameworks like FastAPI, Flask, or Django, or willingness to learn and work with this stack.
• Good understanding of API design principles.
• Familiarity with Service-Oriented Architecture.
• Experience with relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL).
• Analytical skills and experience with SQL to gather insights into dashboard reports and solutions (ClickHouse, Athena).
• Experience with any of the major public cloud service providers: AWS, Azure, GCP.
• Experience collaborating in cross-functional teams.
• Excellent English communication skills.

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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The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform—from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources—compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need engineers who can navigate these platform differences, build robust abstractions that work across providers, and make smart infrastructure decisions that keep us cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms
• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads
• Optimize inference cost and performance across providers—designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region
• Contribute to inference features that must work consistently across all platforms
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration
• Have strong interest in inference
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work
• Pick up slack, even when it goes outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Strong familiarity with LLM inference optimization, batching, caching, and serving strategies
• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators
• Background designing and building CI/CD systems that automate deployment and validation across cloud environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

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.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Strong candidates may also have experience with

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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.

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. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP, Azure)
• Python or Rust

Representative projects:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

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.

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. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research co

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San Francisco; New York City; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $185K – $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

We’re building up the core Swift platform, from architecture to CI, that enables hundreds of engineers (and their agents) to develop new capabilities in ChatGPT, Atlas, Sora, and other rapidly evolving apps. Our focus is helping teams move quickly while improving on performance or reliability.

About the Role

We’re hiring Staff+ engineers with a variety of iOS platform backgrounds, including people who may specialize in performance, build/CI, or AI developer productivity. Whether you focus on UI frameworks or automated testing, your work will show up as less friction, less complexity, fewer regressions, and better performance.

If you're rethinking how to scale Swift development in the context of increasingly capable AI tools, this is the role for you.

We are hiring in San Francisco, New York and Seattle.

In this role, you may:

• Build and evolve foundational Swift frameworks used across multiple apps and platforms (caching, state management, observability, navigation, component systems).

• Improve app performance (startup, responsiveness, memory, battery) through profiling, visibility, regression prevention, or architecture patterns.

• Strengthen reliability: systemically reduce crashes, improve error handling, or drive release process improvements.

• Embed with product engineering teams in order to understand pain points or emerging infrastructure needs.

• Develop internal tooling and automation (Bazel, CI, testing, guardrails, Codex agent skills and systems) that increase engineering velocity.

• Translate messy real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

You might thrive in this role if you:

• Have strong iOS engineering fundamentals (Swift, concurrency, networking, Xcode ecosystem, some UIKit/SwiftUI) and are familiar with the latest features and practices.

• Gravitate towards platform problems: frameworks, architecture, performance, or tools that empower and accelerate others.

• Take ownership: continually identify the biggest risks/opportunities, drive projects to completion, and update quickly.

• Care about measurement: instrument, define metrics, run experiments, and iterate based on data.

• Have strong communication and collaboration skills—aligning on interfaces, navigating tradeoffs, and driving cross-team execution.

• Tend to think in systems, fight entropy, and enjoy an ambiguous challenge.

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

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 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.

About the Team

We are the Online Storage team powering ChatGPT, Sora, and the OpenAI APIs. We’re a growing team set up to own the databases and online‑storage infrastructure that serve all our products.

About the Role

As OpenAI scales, we’re seeking experienced, problem‑solving engineers to build robust, high‑performance, and scalable database systems. Our ability to rapidly iterate on products while ensuring reliability and speed is key to our success.

You’ll work in a fast‑paced, collaborative environment, building systems that serve hundreds of millions of users globally, with a strong emphasis on safety, reliability, and performance.

In this role, you will:

• Design and build highly scalable, reliable, and performant database

• Design and build highly simple and intuitive APIs for the underlying database

• Analyze and resolve performance and scalability bottlenecks to improve overall system efficiency

• Debug, instrument, and fix system issues — from pinpointing root causes to delivering long-term solutions

• Define technical strategy and guide the development of robust infrastructure that supports high-scale production systems and evolving business needs

• Collaborate closely with product teams to deeply understand requirements and deliver impactful solutions

• Boost engineering productivity by building intuitive tools and systems that empower fellow developers

• Own the reliability of the systems you build, including participating in an on-call rotation to address critical incidents

You might thrive in this role if you:

• Have experience building (and rebuilding) production systems to support new product capabilities and growing scale

• Care deeply about the end-user experience and take pride in solving real customer needs

• Embrace a humble, collaborative mindset and go the extra mile to support your teammates and the broader mission

• Own problems end-to-end — you’re comfortable learning on the fly to fill gaps and get things done

• Build internal tools that improve workflows when off-the-shelf solutions fall short

• Have hands-on experience with distributed systems such as data storage, caching, search, or other backend infrastructure components

• Prioritize the reliability, scalability, and performance of large-scale systems

• Thrive in ambiguous, fast-paced environments and enjoy iterating rapidly on product and research initiatives

Qualifications:

• 4+ years of industry experience, including 2+ years leading large-scale, complex projects or technical initiatives as an engineer or tech lead

• Strong passion for building distributed systems at scale, with a focus on reliability, scalability, security, and continuous improvement

• Expertise in systems programming, with hands-on experience in multi-threading and concurrency; proficiency in C++ and/or Python is highly preferred

• Preferably, domain experience in areas such as databases, large-scale data systems, storage, caching, search, or other core components of distributed infrastructure

• Excellent communication skills, with the ability to build consensus across diverse technical and non-technical stakeholders

XML job scraping automation by YubHub

Location

Seattle

Employment Type

Full time

Department

Applied AI

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 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.

About the Team

We are the Online Storage team powering ChatGPT, Sora, and the OpenAI APIs. We’re a growing team set up to own the databases and online‑storage infrastructure that serve all our products.

About the Role

As OpenAI scales, we’re seeking experienced, problem‑solving engineers to build robust, high‑performance, and scalable database systems. Our ability to rapidly iterate on products while ensuring reliability and speed is key to our success.

You’ll work in a fast‑paced, collaborative environment, building systems that serve hundreds of millions of users globally, with a strong emphasis on safety, reliability, and performance.

In this role, you will:

• Design and build highly scalable, reliable, and performant database

• Design and build highly simple and intuitive APIs for the underlying database

• Analyze and resolve performance and scalability bottlenecks to improve overall system efficiency

• Debug, instrument, and fix system issues — from pinpointing root causes to delivering long-term solutions

• Define technical strategy and guide the development of robust infrastructure that supports high-scale production systems and evolving business needs

• Collaborate closely with product teams to deeply understand requirements and deliver impactful solutions

• Boost engineering productivity by building intuitive tools and systems that empower fellow developers

• Own the reliability of the systems you build, including participating in an on-call rotation to address critical incidents

You might thrive in this role if you:

• Have experience building (and rebuilding) production systems to support new product capabilities and growing scale

• Care deeply about the end-user experience and take pride in solving real customer needs

• Embrace a humble, collaborative mindset and go the extra mile to support your teammates and the broader mission

• Own problems end-to-end — you’re comfortable learning on the fly to fill gaps and get things done

• Build internal tools that improve workflows when off-the-shelf solutions fall short

• Have hands-on experience with distributed systems such as data storage, caching, search, or other backend infrastructure components

• Prioritize the reliability, scalability, and performance of large-scale systems

• Thrive in ambiguous, fast-paced environments and enjoy iterating rapidly on product and research initiatives

Qualifications:

• 4+ years of industry experience, including 2+ years leading large-scale, complex projects or technical initiatives as an engineer or tech lead

• Strong passion for building distributed systems at scale, with a focus on reliability, scalability, security, and continuous improvement

• Expertise in systems programming, with hands-on experience in multi-threading and concurrency; proficiency in C++ and/or Python is highly preferred

• Preferably, domain experience in areas such as databases, large-scale data systems, storage, caching, search, or other core components of distributed infrastructure

• Excellent communication skills, with the ability to build consensus across diverse technical and non-technical stakeholders

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Software Engineer, Core Services

Location

San Francisco

Employment Type

Full time

Department

Applied AI

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

The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.

About the Role

As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.

We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.

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, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.

• Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.

• Improve performance, resilience, and scalability of core services that power customer-facing applications.

You might thrive in this role if you:

• Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).

• Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.

• Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.

• Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

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

At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.

The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.

We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.

In This Role, You Will:

• Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.

• Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.

• Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.

You Might Thrive In This Role If You:

• Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.

• Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.

• Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.

• Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.

• Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.

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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What you'll do

You will be responsible for building scalable systems that ingest and process data from the web, files, and other sources. You will also be responsible for optimising interfaces that interact with databases and caching systems.

• Build scalable systems that ingest and process data from the web, files, and other sources.
• Optimise interfaces that interact with databases and caching systems.

What you need

• Strong experience with Python
• Strong experience with databases and caching
• Experience with AWS cloud infrastructure at scale
• Experience working with high-scale data and non-deterministic systems like LLMs
• 4+ years of engineering experience

XML job scraping automation by YubHub

What you'll do

• Build scalable systems that ingest and process data from the web, files, and other sources.
• Optimize interfaces that interact with databases and caching systems.

What you need

• Strong experience with Python
• Strong experience with databases and caching

XML job scraping automation by YubHub

What you'll do

• Develop software features end-to-end.
• Architect and improve core online systems (game server, multiplayer engine, session and player-data services) for reliability, performance and cost at scale.

What you need

• Server-side engineering in C#/.NET (e.g., ASP.NET, Web APIs)

XML job scraping automation by YubHub

We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, FC, Apex Legends, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius.

What you'll do

• Architect, design & build massively scalable services, solutions, and platforms with stellar performance.
• Provide technology roadmap & direction for platforms, products, and features.

What you need

• Bachelor of Technology or Engineering from a reputed institute.
• 12+ years of experience working in Java, J2EE technologies and 8+ years of experience in building highly scalable distributed systems using Microservices architecture.

XML job scraping automation by YubHub