We work in a highly dynamic environment where collaboration and idea sharing are a way of life. We are seeking a Mechanical Design Engineer to join our Manufacturing Engineer Team, working in a cutting-edge start-up environment to advance the state-of-the-possible in factory, equipment, and process execution.

This is an ideal role for an individual with broad experience and passion for mechanical design and design for manufacturing. The ideal candidate will seek continuous improvement opportunities in both the physical and data space, gaining broad experience within an advanced production environment by designing production fixtures to help the technicians execute build processes efficiently as well as working closely with manufacturing and design engineers to improve product manufacturability.

The Mechanical Design Engineer will be responsible for owning the physical design, prototyping, and fabrication of production equipment, developing novel tooling solutions for fabrication and assembly of structural parts, performing detailed mechanical designs, selecting appropriate materials, executing engineering calculations, performing FEA simulations, and designing and developing mechanical test equipment.

In addition, the Mechanical Design Engineer will be responsible for effectively coordinating their effort to support the Production team with mechanical design of fixtures/equipment, selecting and managing suppliers, overseeing physical assembly and commissioning of designed systems, diagnosing and resolving production issues, and supporting the broader Production team by creating and maintaining designs in our PLM (Teamcenter).

Safety and compliance: Ensure all processes adhere to safety regulations and company policies.

Designing manufacturing jigs and fixtures capturing design updates, modifications, and improvements to existing manufacturing equipment and aids (including load testing requirements and prescription).

Required qualifications include a BS, M.Eng, or MS in Mechanical Engineering or a related field, professional experience working as a Mechanical Engineer with one or more domains and/or technologies of expertise, 5+ years of experience in a relevant engineering field, preferably mechanical design for manufacturing, demonstrated ability to manage projects from concept to completion, strong skills in NX for 3D modeling and 2D drawing creation, proficiency with FEA in NX, FEMAP, or ANSYS, personal experience with physical assembly and commissioning, proficiency in engineering calculations and material selection, proficiency with engineering standards and GD&T, ability to manage suppliers and project timelines effectively, and ability to obtain and maintain an Australian NV2 Security clearance.

Preferred qualifications include experience with NX/Teamcenter, experience in the design and development of tooling, jigs, and fixtures, experience in production support within an advanced manufacturing organization, understanding of load testing and prescription for mechanical fixtures, and knowledge of corrosion prevention techniques.

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Responsible for own Health & Safety on site and follow Method Statements and Risk Assessments as standard on all sites, highlighting specific requirements as required.

Conduct the planned delivery of SFG 20 maintenance and repair across 51 fire stations in London.

You will also be sufficient in conducting maintenance and repairs of the remedials you identify on PPM.

You will be part of a wider team and will adopt a teamwork mentality and collaboration.

Some but not all your PPM duties will be generator load testing, monthly emergency light testing, L8 temperature checks, meter readings, shower outlet descales, extract fans, pumps, lighting and general Mechanical, Electrical and Plumbing maintenance.

You will be a first response on reactive calls and will be expected to attempt a first-time fix (within your skills competency).

Key responsibilities include conducting planned maintenance across LFB estate to SFG 20 standard, completing engineer's worksheets in full, giving full details of plant that requires additional work, and submitting expenses weekly with all supporting receipts.

Essential skills and experience include planned maintenance competence to SFG 20, emergency lighting fundamentals unit 1 & 2, generator load testing, L8 awareness, trade qualifications (Plumbing, Mechanical or Electrical equivalent), and L8 Awareness.

Desirable but not essential skills include City & Guilds 236/0 & 2330 Electrical Installation/Maintenance or equivalent, 18th Edition IEE, and fabric experience in one or all of these - Tiling, carpentry, painting and plastering.

Benefits include 24/7 GP, mental health support and life event counseling, get fit programme, financial and legal support, cycle to work scheme, and access perks at work, our innovative employee app where you can find perks, life, and support.

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Job Title: Site Reliability Engineer II

Pogo has been the leader in online casual games since 1998. Featuring a growing library of 60+ titles spanning popular genres like Solitaire, Mahjong, Match 3, and more, Pogo exists to be the best destination for online casual games. We strive to produce high-quality HTML5-powered games with sophisticated metagames and social mechanics, all while working seamlessly across desktop, tablet and mobile. Our fans and subscribers come to Pogo for fresh content, daily challenges, great events, new games, and a live service that delivers! We are looking for a Site Reliability Engineer on Pogo engineering to help maintain and work towards continuous improvement of infrastructure for the Pogo platform and games.

In this key role, you will report directly to the Associate Technical Director and have a high level of interaction with Pogo engineering team members, development directors and EA central teams. Pogo Engineering manages the Pogo platform that consists of Progressive WebApp and Java Backend deployed on AWS that supports more than 60 HTML5 games. As part of the engineering team, you will help build, maintain and continuously improve Pogo’s infrastructure for games and platform.

Key Responsibilities:

• Build and maintain CI/CD pipelines for several projects and work towards continuous improvement.
• Keep Pogo infrastructure up-to-date by applying updates in timely manner
• Implement monitoring and alerting systems for service degradations
• Identify and deploy security measures by performing vulnerability assessments and risk management.
• Encourage and build automated processes whenever possible.

Qualifications:

• Bachelor's degree in Computer Science or related field, or equivalent training and professional experience
• 4+ years of experience as a DevOps/Site Reliability engineer
• Proficient in CI/CD technologies like Maven, Gradle, Jenkins, Gitlab CI/CD
• Proficient in cloud platform like AWS
• Expertise in containerization with Docker/Kubernetes and orchestration tools Ansible/Puppet
• Proficiency in cloud-based DevOps practices like Terraform
• Experience with shell scripting and knowledge of scripting languages like Ruby, Python
• Experience with monitoring tools like Prometheus, Grafana, Cloudwatch
• Experience with load testing, troubleshooting, and optimizing performance of web services
• Experience with Scrum/Agile development methodologies

Nice To Have:

• Experience in game industry is a plus

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EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences.

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

Senior Full Stack Engineers are key drivers behind the technology that powers our games and the experiences millions of players love. In this role, you’ll design and build scalable backend services, data pipelines, and APIs that move and process massive amounts of real-time game data. As part of the Gameplay Advance team at EA, you’ll work alongside world-class engineers to push gameplay technology forward,solving complex technical challenges, influencing architecture, and helping shape the future of how our games are built and played.

Your Responsibilities:

• Troubleshoot and resolve complex production issues quickly across the full technology stack (backend, frontend, and data).

• Design, develop, and maintain scalable backend systems and data pipelines using Python and modern frameworks.

• Setup and optimize data streaming solutions to ensure real-time data processing and reliability.

• Design, build, and maintain cloud-hosted data pipelines and services used in production

• Collaborate closely with cross-functional partners, including central platform teams and DevOps, to deliver reliable solutions

Your Qualifications:

Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.

• Bachelor’s or Master’s degree in Computer Science, or 8+ years of hands-on professional software development experience

• Experience building, shipping, and supporting scalable, cloud-hosted services

• Proficiency in multiple programming languages and frameworks, including Python and C++

• Strong understanding of client/server architectures, HTTP, RESTful APIs, and WebSocket-based data streaming

• Experience contributing to modern web application frontends

• Hands-on experience with machine learning data frames, including tools like Polars

• Experience deploying and operating services using Docker and Kubernetes

• Experience with at least one major public cloud platform (GCP, AWS, Azure)

• Working knowledge of modern database technologies

• Proficiency with source control systems such as Git or Perforce

• Experience load testing, troubleshooting, and optimizing cloud service performance

• Ability to learn quickly and apply new technologies

• Bonus: Experience with animation systems or pipelines

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The Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows , searching, analysing, and creating across the tools and documents knowledge workers use every day.

As that work scales, the systems behind it need to be as rigorous as the research itself. We are looking for a Research Engineer to own the reliability, observability, and infrastructure foundation that the team's research depends on.

You will be responsible for ensuring our training and evaluation runs remain stable, well-instrumented, and high-quality as they grow in scale and complexity. A core part of this role is shifting reliability work from reactive to proactive: hardening systems, stress-testing at realistic scale, and building the observability and tooling that surface problems early , so researchers can stay focused on research rather than incident response.

You will be the team's stable, context-rich owner for environment health and evaluation integrity, and the primary point of contact for partner teams when issues arise.

While you'll work closely with researchers building new training environments, the priority for this role is the reliability those environments depend on. It's best suited to an engineer who finds real ownership and impact in making critical systems dependable, and in being the person behind trustworthy evaluation results the entire organisation relies on.

Key Responsibilities:

• Serve as the dedicated reliability owner for the Knowledge Work training environments, providing continuity of context and reducing the operational overhead of rotating ownership
• Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases
• Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation
• Proactively harden environments and evaluation systems through load testing, fault injection, and stress testing at realistic scale, so failures surface early rather than during critical training work
• Act as the primary point of contact for partner training and infrastructure teams when issues in our environments arise, and drive incidents to resolution
• Reduce the operational burden on researchers so they can stay focused on research

Minimum Qualifications:

• Highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production
• Demonstrated experience operating ML or distributed systems at scale, including significant on-call and incident-response experience
• Strong SRE or production-engineering mindset , reaching for SLOs, load tests, and failure injection before reaching for more dashboards
• Foundational ML knowledge sufficient to understand what a training environment or evaluation is actually measuring, and recognise when an evaluation has become stale or gameable
• Able to read research code and reason evaluation integrity

Preferred Qualifications:

• 5+ years of experience operating ML or distributed systems at scale
• Experience building or operating RL environments, agent harnesses, or LLM evaluation frameworks
• Familiarity with reward modelling, evaluation design, or detecting and mitigating reward hacking
• Experience with observability stacks (metrics, tracing, structured logging) and operational dashboard tooling
• Background in chaos engineering, fault injection, or large-scale load testing
• Experience with data quality pipelines, drift detection, or evaluation-set curation and versioning
• Familiarity with large-scale training or inference infrastructure (schedulers, multi-agent orchestration, sandboxed execution)
• Prior experience as a dedicated reliability or operations owner embedded within a research team

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.

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, including a comprehensive health insurance package, 401(k) matching, and generous paid time off.

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Key responsibilities include:

• Architecting scalable, secure, and performant Salesforce CRM solutions aligned with Salesforce.com Standard Practices and Ford Pro's Common Engineering Policies (CEP).
• Leading MuleSoft integration strategies to connect Salesforce with internal and external systems.
• Driving Agile product development practices using JIRA to manage backlog, sprints, releases, and retrospectives.
• Validating and refining target state architectures through usability testing, performance/load testing, and continuous improvement.

As a servant leader, this role will act as a consensus builder across other Ford Pro product groups, facilitate alignment on technical decisions, team allocations, and product lifecycle transitions, promote transparency and shared accountability using progress reporting tools and OKRs, and champion Community of Practice (CoP) principles to ensure consistency in engineering and product management practices.

Financial acquisition and resource planning responsibilities include supporting financial and headcount forecasting through collaborative internal processes and related tools, aligning product investments with strategic priorities, and ensuring efficient resource allocation.

To be successful in this role, you will need to have a Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, and 12+ years of experience in enterprise CRM platforms, with at least 7 years in Salesforce architecture and development.

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Build, evolve, and operate backend services at scale for ZoomInfo. You'll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you'll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

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The Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows , searching, analysing, and creating across the tools and documents knowledge workers use every day.

As that work scales, the systems behind it need to be as rigorous as the research itself. We are looking for a Research Engineer to own the reliability, observability, and infrastructure foundation that the team's research depends on.

You will be responsible for ensuring our training and evaluation runs remain stable, well-instrumented, and high-quality as they grow in scale and complexity.

A core part of this role is shifting reliability work from reactive to proactive: hardening systems, stress-testing at realistic scale, and building the observability and tooling that surface problems early , so researchers can stay focused on research rather than incident response.

You will be the team's stable, context-rich owner for environment health and evaluation integrity, and the primary point of contact for partner teams when issues arise.

Key Responsibilities:

• Serve as the dedicated reliability owner for the Knowledge Work training environments, providing continuity of context and reducing the operational overhead of rotating ownership
• Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases
• Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation
• Proactively harden environments and evaluation systems through load testing, fault injection, and stress testing at realistic scale, so failures surface early rather than during critical training work
• Act as the primary point of contact for partner training and infrastructure teams when issues in our environments arise, and drive incidents to resolution
• Reduce the operational burden on researchers so they can stay focused on research

Minimum Qualifications:

• Highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production
• Demonstrated experience operating ML or distributed systems at scale, including significant on-call and incident-response experience
• Strong SRE or production-engineering mindset , reaching for SLOs, load tests, and failure injection before reaching for more dashboards
• Foundational ML knowledge sufficient to understand what a training environment or evaluation is actually measuring, and recognise when an evaluation has become stale or gameable
• Able to read research code and reason evaluation integrity

Preferred Qualifications:

• 5+ years of experience operating ML or distributed systems at scale
• Experience building or operating RL environments, agent harnesses, or LLM evaluation frameworks
• Familiarity with reward modelling, evaluation design, or detecting and mitigating reward hacking
• Experience with observability stacks (metrics, tracing, structured logging) and operational dashboard tooling
• Background in chaos engineering, fault injection, or large-scale load testing
• Experience with data quality pipelines, drift detection, or evaluation-set curation and versioning
• Familiarity with large-scale training or inference infrastructure (schedulers, multi-agent orchestration, sandboxed execution)
• Prior experience as a dedicated reliability or operations owner embedded within a research team

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.

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits.

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In this role, you will design and execute test strategies for our applications, APIs and machine learning models. Your work will involve automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver seamless, high-quality user experiences.

Key responsibilities include:

• Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience. • Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models. • Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization. • Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases. • Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues.

About you:

• You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products. • You are proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing. • You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently. • You are autonomous and a self-starter. • You are a proactive problem-solver with a continuous improvement mindset. • You are proficient in Python or Typescript.

Now it would be ideal if you have:

• Experience testing Machine Learning models. • Understanding of the Machine Learning lifecycle. • Experience in various types of testing: performance, load, accessibility or others. • Strong debugging skills.

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Full commissioning and servicing of HVAC Equipment, Chillers and associated Air Handling Units and other associated equipment.

Compile reports and information sheets according to the company’s Quality System, for purposes of conveying information regarding the quality and performance of individual installations.

Co-operation with contracts staff were necessary to achieve our employer’s acceptance in line with agreed contract terms.

Produce all documentation as dictated by workload, i.e. Technical reports and reject reports for failures of components or plant.

Responsible for own Health & Safety on site and follow Method Statements and Risk Assessments as standard on all sites, highlighting specific requirements as required.

Assist as necessary, with scope of abilities; with service, maintenance and warranty work should commissioning workload become sporadic.

Any other duties, projects etc. that are necessary for the achievement of the company’s Objectives within the remit of the role. Note: the above list is not exhaustive and may be reviewed from time to time with the role holder.

Assist with the completion of standard maintenance and repair within the Mechanical, Electrical & Building Fabric trades.

Key Responsibilities:

Develop and manage F-Gas registers for the LFB stations.

Completing a weekly time sheet correctly and submitting it to your line manager

Submitting Expenses weekly with all supporting receipts

Completing all necessary paperwork for the customer whilst on site and obtaining a customer’s signature to enable the job attended to be invoiced without any delays.

Completing engineer’s worksheet in full, giving full details of plant that requires additional work.

Completing the Minor Works and Installation Certificates on completion of any electrical installations or alterations.

Identifying lifecycle replacement requirements.

Essential Skills & Experience:

F-Gas qualified – all units/fully qualified

Air Handling Units – including DX systems.

L8 Awareness

IPAF, PASMA

Desirable but not essential:

Knowledge and use of computer software – Microsoft Office, Building Management Systems

HVAC & Building Services Engineering experience

Emergency lighting fundamentals unit 1 & 2.

Generator Load testing

L8 awareness

Any additional trade qualifications (plumbing & Mechanical)

City & Guilds 236/0 & 2330 Electrical Installation/Maintenance or equivalent

18th Edition IEE

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