Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

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

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Your Role

We’re hiring a Senior SDET to join one of our cross-functional product teams in our Football & Rugby group. This squad are focused on building cutting-edge solutions sports teams use to influence how they compete and recruit, supporting key products like Statsbomb and Wyscout, plus new greenfield projects as we expand.

As a Senior SDET, you’ll:

• Improve quality. You’ll drive measurable improvements in product quality and delivery speed. You’ll empower teams to solve tough challenges, bringing in proven practices that enhance quality and accelerate development.
• Collaborate. You’ll be an integral part of a cross-functional team, collaborating closely with coworkers across Engineering, Product, Design and Scrum, all to ensure the delivery of high-quality products.
• Strategise. You’ll use your customer and system understanding to create risk-based testing approaches and plans that focus on user experiences. Overall, you’ll ensure our products meet and exceed user expectations.
• Automate. By aligning our processes with development speed, you’ll make informed decisions on what, how and when to automate.
  Coach. You'll use your technical and quality expertise to guide others on the team to raise their bar. As the quality point person, you’ll influence and challenge teams to incorporate quality best practices in everything they do.

For this role, we're currently considering candidates who live within a commuting distance of our office in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• A focus on quality. You understand quality in the big picture and strive to use what you know to improve quality and velocity.
• Technical know-how. You have in-depth experience with testing desktop and web applications, as well as a deep knowledge of automation and its industry-recognised principles. You've implemented the test pyramid and have experience  working with developers and QA to shift testing left.
• A customer focus. You think critically about user experience and ensure our testing approach adapts to match those workflows.

Nice-to-Haves

• Experience with Playwright. As this is one of the key frameworks we use, commercial experience with it is a plus.
• Familiarity with hardware. You’ve had experience working with relevant hardware products, such as wearable devices.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

About the Advanced Technology Group 

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. 

What you’ll be doing 

• You will be working on Razor GPU, a GPU performance analysis and debugging tool, for current and future PlayStation® platforms. 

• You will be developing GPU Capture and Replay technology, which allows GPU commands, shaders and resources to be captured, analysed and later reinstated, so that graphics frames can be re-executed on the GPU independently from the running game. 

• You will be developing profiling and debugging features upon this core technology, to help game developers worldwide to realize their creative vision and push PlayStation® hardware to its limits. 

• You will be developing internal features used by platform software and hardware teams, to help build and improve the PlayStation® graphics software stack, as well as diagnose low-level platform issues. 

• You will collaborate with game developers and platform engineers to gain a deep understanding of their needs, with a view to creating efficient, reliable and scalable tools, which are a joy to use for entry/new-level and deeply technical engineers alike. 

This is a unique senior engineering role at the heart of PlayStation® GPU technology, where you will work within a highly experienced technologytechnical-driven team. We are looking for developers who are passionate about their craft, the products they build, and who would like to make a lasting impact on the PlayStation® graphics software stack, its tooling, and future. 

 What we are looking for 

• Strong problem-solving skills, including the ability to design and implement highly reliable performant systems in C++. 

• Strong debugging skills, including the ability to understand and reason about complex systems, as well as unpick their interactions. 

• Experience developing on consoles, particularly using console graphics and memory management APIs. 

• An interest in GPU architecture and low-level graphics engineering. 

• Experience using GPU profiling and debugging tools. 

• An eagerness to learn and take responsibility of features end-to-end, from building core systems, to influencing end-user UX design. 

About the Role

We’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development.

What You’ll Be Doing

• Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools.
• Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets.
• Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility.
• Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds).
• Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards.
• Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls).
• Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines.
• Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios.
• Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices.

Qualifications

• You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging.
• You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration.
• You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage.
• You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating.
• You work fluently with large code/asset repositories and are comfortable with both Perforce and Git.
• You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions.
• You write thorough documentation and favor well-tested, maintainable code.

Nice to Have

• You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces).
• You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling.
• You understand console platform requirements and certification workflows.
• You are familiar with security, privacy, and responsible-AI practices in production systems.

Please note; this position can be completed remotely from The UK

The role 

We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.

As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.

You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing

• Designing, building and maintaining reliable data pipelines and processing components used across the business
• Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
• Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
• Contributing to technical design, estimation and planning discussions to help the team deliver effectively
• Reviewing code and sharing feedback to support guidelines and collective code quality
• Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
• Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
• Learning and applying new tools, technologies and approaches as the platform and team continue to grow
• Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working

What we are looking for

Must have

• Experience as a data engineer (or similar), delivering production-ready, scalable code
• Strong SQL skills and experience with relational and analytical databases
• Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
• Experience contributing to data platforms handling complex, high-volume data (Databricks)
• Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
• Understanding of performance and cost considerations in data processing systems
• Strong problem-solving skills and ability to handle multiple priorities
• Clear communication skills, including explaining technical concepts to non-technical partners
• Experience working in UNIX or Linux environments, including shell scripting
• Curiosity and eagerness to learn new tools and technologies
• Eligibility to work in the UK, with ability to travel occasionally to the US and Japan

Nice to have

• Familiarity with additional data processing or integration technologies
• Experience with graphical or low-code data development tools (for example Ab Initio)
• Understanding of data modelling concepts
• Experience translating business requirements into technical solutions

Experienced Deep Learning Engineer for Game Technology

We are looking for a machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love to hear from you.

This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.

About the Advanced Technology Group

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation’s first party game development studios, ATG's focus has always been to help game developers to get the most out of PlayStation hardware, and this is still true today. The majority of the group holds responsibility for a large part of the GPU software stack used by all PlayStation games, which allows us to collaborate with engineering teams worldwide, from third party game developers to hardware vendors, to deliver key platform technologies.

You will be part of a small creative team within ATG, tackling problems centred around computer vision and machine learning. Examples of projects include a novel facial performance capture system used to produce assets for AAA games, and building a general purpose solution for on-console inference.

The Role

You will be expected to develop innovative ML solutions for deployment in games and in the development pipeline. This also involves making technology choices, prototype solutions and bringing them to production.

Some of these systems are expected to run on millions of PlayStations in people’s homes, making high run-time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed.

The Essential Requirements

• Experience with modern Deep Learning and Pytorch: You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production.

• Experience with production-facing software development and strong debugging skills. This also requires demonstrating applied engineering skills through a shipped ML network or personal project.

• Understanding of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.

Nice-to-have

• Experience with Graphics and/or Game Engines

• Experience with Computer Vision

Benefits

• Discretionary bonus opportunity
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

We are seeking a candidate to join our game integration platform to bring gameplay and platform experiences closer together! As a team member for the Partners Platform, you will have the opportunity to work at the intersection of Business and Engineering on the PlayStation SDK Windows Delivery tooling.

You'll be responsible for helping to develop SDK Manager Windows Application, co-ordinating with business and engineering to help improve the relationship between SIE and our Game development and publishing Partners..

Role overview:

We are seeking a skilled C# Software Engineer to design and develop Windows-based applications that support the delivery and integration of SDK components for Sony PlayStation platforms. This role requires strong experience in C#, along with solid knowledge of C and C++ for low-level integration and performance-critical components.

What you'll be doing:

• Design, develop, and maintain Windows desktop applications using C# and the .NET framework
• Build tools and interfaces to support integration and delivery of PlayStation SDK components
• Work with native code (C/C++) to interface with low-level systems and SDK libraries
• Collaborate with cross-functional teams including platform engineers and SDK developers
• Debug, optimize, and improve performance across managed and unmanaged code
• Create and maintain technical documentation for internal tools and SDK workflows
• Ensure code quality through testing, code reviews, and best engineering practices
• Support build systems, packaging, and deployment of SDK-related deliverables

What we're looking for:

• Strong proficiency in C# and the .NET ecosystem (e.g., WinForms, WPF, or similar)
• Solid experience with C and C++ (memory management, pointers, native integration)
• Experience developing Windows desktop applications
• Familiarity with interop techniques (P/Invoke, C++/CLI, or similar)
• Understanding of software architecture and design patterns
• Experience with debugging tools for both managed and native code
• Knowledge of version control systems (e.g., Git)
• Strong problem-solving skills and attention to detail

Desirable Skills:

• Experience working with SDKs or developer toolchains
• Familiarity with console development environments, especially Sony PlayStation platforms
• Knowledge of build systems (e.g., CMake, MSBuild)
• Experience with performance profiling and optimization
• Understanding of security and compliance requirements in SDK distribution
• Process Optimization: Continuously refine and improve program management processes to enhance efficiency and team productivity.

Preferred Qualifications:

• Experience in Game Industry
• Familiarity with game development, cloud platforms, DevOps, and CI/CD pipelines is a plus

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

The role

We are looking for a Senior Graphics Engineer with strong experience in real-time computer graphics and game development to design and implement high-quality, game-like rendering scenarios that evaluate, validate, and showcase new graphics features.

In this role, you will drive technical direction through hands-on development, prototyping, and performance analysis, influencing the design and adoption of rendering technologies across teams.

The ideal candidate brings deep expertise in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console or modern graphics APIs, and a proven ability to deliver robust, scalable solutions while collaborating effectively with globally distributed teams.

The team

Based in London, our team are part of the ‘Foundational Systems and Experiences Engineering’ group. We build the low-level SDKs and fundamental technologies used by our game development partners to create PlayStation Games.

Our team are working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

What you’ll be doing

• Lead the design and development of high-quality, game-like rendering scenarios to evaluate, validate, and showcase new graphics features at scale.
• Own and deliver production-grade sample code, libraries, and tools for internal teams and inclusion in the PlayStation SDK, ensuring robustness, scalability, and long-term maintainability.
• Drive cross-team collaboration with platform, tools, developer support and studio teams globally to establish guidelines and enable successful adoption of new rendering technologies.
• Influence graphics feature direction through hands-on prototyping, deep technical investigation, and performance analysis across CPU and GPU.
• Define and uphold engineering standards for developer-facing code, ensuring clarity, usability, and high-quality documentation.
• Mentor other engineers and contribute to the technical growth of the team.

What we’re looking for

• 6–10+ years of professional experience in software engineering, with a strong focus on game development or real-time rendering.
• Expert-level C/C++ with significant experience in game or game engine development (e.g., memory systems, job systems, low-level optimization).
• Deep experience in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console / modern graphics APIs (e.g., Vulkan, DirectX 12).
• Strong understanding of GPU architecture, rendering pipelines, and performance trade-offs across CPU/GPU boundaries.
• Advanced proficiency in HLSL (Shader Model 6) and modern shader development techniques.
• Proven ability to debug, profile, and optimize complex systems across CPU and GPU.
• Demonstrated ability to design systems and make sound technical trade-offs.
• Strong collaboration and communication skills, with experience working across globally distributed teams.
• Experience with modern development practices (e.g., SCRUM) and collaborative workflows using GitHub.
• Degree in Computer Science, Mathematics, or equivalent experience in a practical setting.

Nice to haves

• Experience architecting or significantly contributing to game engines or rendering frameworks.
• Experience developing and optimising advanced rendering techniques such as global illumination, ray tracing, or hybrid rendering approaches.
• Experience building high-quality developer-facing samples, tools, or user documentation used by external developers.
• Track record of technical leadership, including mentoring engineers or leading projects/features.
• Contributions to open source projects or a strong public technical portfolio (e.g., GitHub).

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Role Description:

We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 5+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

The role

We are looking for an experienced Graphics engineer with experience in real time computer graphics or games to design and implement high-quality, game-like rendering scenarios to evaluate and showcase new graphics features.

The ideal candidate would have experience in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console/modern graphics APIs.

The team

Based in London, our team are part of the ‘Foundational Systems and Experiences Engineering’ group. We build the low-level SDKs and fundamental technologies used by our game development partners to create PlayStation Games.

Our team are working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

What you’ll be doing:

• Design and implement high-quality, game-like rendering scenarios to evaluate and showcase new graphics features.
• Develop production-grade sample code, libraries, and tools for both internal teams and inclusion in the PlayStation SDK.
• Collaborate with platform, tools, and studio teams worldwide to drive adoption and guidelines.
• Influence graphics feature design through hands-on prototyping and performance analysis.
• Contribute to clear, maintainable, developer-facing code and documentation.

What we’re looking for:

• Strong C/C++ with experience in game/game-engine development ( e.g. memory management, task management)
• Strong real-time rendering experience, ideally with PlayStation 5 graphics APIs or comparable low-level console/modern graphics APIs.
• Good understanding of GPU architecture and rendering pipelines.
• Proficiency in HLSL (Shader Model 6) and modern shader development practices.
• Strong debugging and performance analysis skills (CPU/GPU).
• Excellent collaboration skills, comfortable working with globally distributed teams.
• Working experience in development practices such as SCRUM and use of collaborative source control features in GitHub.
• Degree in Computer Science, Mathematics, or equivalent experience in the industry.

Nice to haves:

• Experience with global illumination, ray tracing, or advanced lighting techniques.
• Experience creating or editing game engines
• Experience building developer-facing samples, tools, or user documentation.
• An open source body of work in GitHub or similar.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Role Description:

We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 3+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

About the Advanced Technology Group 

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. 

What you’ll be doing 

• You will be working on the current and future rendering APIs used by PlayStation games, as well as the hardware underpinning them. 

• You will design and implement features that enable efficient game development, push GPU programming forward, and create a healthy platform. 

• You will observe industry trends, understanding of – and empathy for – our customers, and business needs as the foundation of your decision making. 

• You will help shape the path of the PlayStation graphics stack going forward. 

• You will collaborate with the platform software and hardware teams, as well as game developers. 

• You will often take the role as the game-developer advocate when working with the platform teams, or the role as the platform-team advocate when working with game developers. 

This is a senior position at the core of PlayStation GPU technology with an unusual degree of influence on future of console graphics-programming. ATG is granted a high degree of trust and autonomy in shaping the graphics software stack and we are looking for people who are passionate about carrying this forward. You will not be spending your time in committee meetings or writing endless proposals, this is very much an engineering role where your primary role is to determine what needs to be implemented, how best to implement it and to then sit down, code, debug. We believe that this practical focus is crucial in building up the skill, experience, and insight required to make the large-scale and long-term decisions we have been entrusted with. 

What we are looking for 

• Experience and interest in low-level graphics architecture and engineering. 

• Experience writing rendering code on top of multiple existing rendering APIs. 

• Experience writing rendering code on console. 

• The ability to keep an eye on the big picture, even when deep in the weeds. 

• An eagerness to learn and to take responsibility for the long run. 

Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 

You will join the Windows Engineering team, responsible for delivering and supporting workplace technology across global offices. The team works closely with Quantitative Researchers, Traders, and corporate functions to ensure reliable meeting room technology, collaboration tools, and endpoint environments. 

Your Present Skillset 

• Design, deploy, and support enterprise AV solutions including Cisco collaboration devices (e.g. Pro Board, Room Kit, Desk Pro)  

• Integrate AV systems with Microsoft Teams Rooms (MTR) and Microsoft 365 environments  

• Configure and support third-party AV hardware (e.g. Shure, Crestron, Logitech)  

• Support Surface Hub and Windows-based MTR systems, including troubleshooting Microsoft Teams and Windows issues  

• Maintain and standardise AV room configurations across locations  

• Provide escalation support for complex AV, conferencing, and collaboration issues  

• Engineer and support Windows 10/11 endpoints with a focus on performance, security, and stability  

• Administer Microsoft 365, Teams, Intune, and Entra ID for device management and collaboration services  

• Manage device provisioning and lifecycle using Autopilot and modern endpoint management practices  

• Troubleshoot advanced endpoint, authentication, and collaboration connectivity issues  

• Develop automation for endpoint configuration, onboarding, and remediation using PowerShell, Graph API, and Intune  

• Implement monitoring and health checks for AV environments and endpoint devices  

• Standardise deployment templates for meeting rooms and endpoints to ensure consistency  

• Create documentation and runbooks to support operational processes and issue resolution  

• Identify recurring issues and implement improvements through automation and root cause analysis  

• Support hardware lifecycle management from deployment to decommissioning  

• Work with external vendors on AV and endpoint solutions and deployments  

Your Present Skillset 

• Experience supporting and engineering AV solutions, including Cisco collaboration technologies  

• Knowledge of Microsoft Teams Rooms (MTR), Microsoft Teams, and Microsoft 365 administration  

• Experience with Windows 10/11 endpoint management in enterprise environments  

• Proficiency with Microsoft Intune and Entra ID for device and identity management  

• Experience with device provisioning using Autopilot  

• Strong troubleshooting skills across endpoints, collaboration tools, networking, and authentication  

• Experience integrating AV hardware such as audio systems, cameras, and control platforms  

• Familiarity with Surface Hub and Windows-based meeting room systems  

• Experience with scripting or automation tools such as PowerShell and Microsoft Graph API  

• Understanding of monitoring, alerting, and device health reporting  

• Ability to document processes and create operational runbooks  

• Experience managing hardware lifecycle and working with external vendors  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Compute Operations team, responsible for managing on-premise compute infrastructure and ensuring reliable, high-performance services for research and trading activities. The team works closely with Quantitative Researchers, Traders, and platform engineering teams supporting scheduling, orchestration, and control plane systems.

Your Future Role within QRT

You will:

• Lead daily operations across compute infrastructure, covering hardware support and Linux-based platforms
• Oversee lifecycle management, health monitoring, and repair of HPC server hardware, including liquid-cooled systems
• Coordinate with hardware vendors for support, maintenance, and replacement activities
• Monitor infrastructure using platforms such as HP OneView, Dell OpenManage Enterprise (or equivalent)
• Triage and prioritise issues raised by users of compute platforms, including scheduling and containerised environments
• Collaborate with Linux and platform engineering teams on incident resolution and capacity planning
• Plan and oversee maintenance, inspections, and change management activities
• Maintain and support disk encryption services and related configurations
• Mentor and support engineers across hardware and Linux domains, ensuring effective workload distribution
• Maintain operational documentation, reporting, and continuous service improvement initiatives

Your Present Skillset

• 5+ years of experience in compute infrastructure, covering hardware and/or Linux systems
• Experience leading a team or operating as a senior engineer in a production environment
• Strong understanding of HPC server hardware and vendor support processes
• Experience with infrastructure monitoring and management tools (e.g. HP OneView, Dell OpenManage Enterprise, or similar)
• Familiarity with compute platforms and orchestration tools (e.g. Slurm, Kubernetes)
• Experience with operational tooling such as NetBox, Infoblox, Temporal, HashiCorp Vault, or similar systems
• Strong incident management, prioritisation, and communication skills

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

About the role:

We are looking for an experienced Compliance Product Support Engineer to join our Global Technical Support organization. This role is designed for a technical leader who thrives on solving the most challenging escalations at the intersection of regulatory law, IOT systems, and data integrity.

Our customers rely on Samsara to comply with the workplace safety requirements established by the Department of Transportation (DoT/FMCSA) to help create a safer work environment for drivers, and make it easier and faster to accurately track, manage, and share records of duty status (RODS) data. You will serve as the primary technical authority for the software components associated with the ELD compliance product. You are the critical bridge between our customers, field teams, and R&D, ensuring that our product maintains 100% accuracy in recording Hours of Service (HOS) and Records of Duty Status (RODS).

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Serve as the final escalation point for intricate ELD compliance product for post-sales customers.
• Own the end-to-end lifecycle of complex product issues, coordinating Possible issues and Jira tickets with R&D to drive timely fixes and clear stakeholder visibility.
• Analyze device telemetry and fleet-level patterns using internal tools, translating raw data and logs into clear, actionable technical narratives.
• Provide technical support for audits & inspections in collaboration with our Escalations, Product and Legal teams
• Drive continuous product improvement by leading post-mortem analyses to identify root causes, systemic issues, key learnings, and actionable trends.
• Collaborate with Support and R&D teams to resolve customer issues and escalations, using support trend analysis to develop superior customer solutions.
• Lead technical feedback for new products to ensure supportability and ease of customer understanding.
• Define success criteria, validation plans, and operational runbooks for new feature launches, ensuring global support team readiness.
• Develop or contribute to internal tools to significantly accelerate ticket resolution and trend analysis.
• Elevate the organization's technical expertise by providing technical coaching and conducting case reviews for support engineers.

Minimum requirements for the role:

• B.S. in Computer Science, Engineering (Mechanical/Electrical), or other technical field.
• 6+ years of experience in technical support, field engineering, or systems engineering, specifically with distributed, hardware-integrated products.
• Familiarity with ELD related rules and regulations.
• Excellent customer service and interpersonal skills coupled with the ability to influence individual contributors and leaders across the company.
• Excellent written and verbal communication skills, you can speak at technical and conversational levels.
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS systems.
• Demonstrated strong resourcefulness, creativity, and problem-solving skills.
• Adaptability and ability to thrive in a fast-paced, dynamic work environment.
• Experience in direct customer interaction, incident response, and participation in a rotational after-hours/on-call support cadence is essential. 

An ideal candidate also has:

• Experience with fleet regulatory requirements for compliance.
• Experience in Telematics industry is a plus.
• Data Analysis skills; Python, SQL and Tableau.

About the Role

At SharkNinja, we create intelligent, connected products that delight consumers and disrupt categories. We're growing our engineering teams across Firmware, Cloud, and Mobile App development. We are building systems that integrate hardware, software, and digital experiences using AI-driven processes to help accelerate design, coding, and testing.

Come help design and deliver the next generation of SharkNinja products from mobile applications that connect consumers to their devices, full-stack architectures that enable seamless experiences, and cross-platform solutions that bring intelligence directly to users' fingertips. You'll contribute to our existing SharkClean app platform while helping shape the future of a unified app ecosystem spanning all connected devices for SharkNinja. Together, we're making our products feel smarter every day they're in the home.

What You'll Do

• Build cross-platform solutions using React Native to accelerate feature delivery across iOS and Android.

  • Collaborate with embedded, cloud, and hardware teams to deliver end-to-end connected product experiences.

  • Design and implement full-stack system architectures that integrate mobile apps with cloud services and connected devices.

  • Write, execute, and automate tests to ensure reliability, performance, and consumer-ready quality.

  • Debug and optimize mobile app performance for consumer-scale deployment across diverse device ecosystems.

  • Work closely with cross-functional development teams spanning the entire software stack from embedded to cloud.

What You'll Bring

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Strong experience in React Native development for iOS and Android development with deep understanding of Typescript.
• Proficiency with modern mobile development tools: VSCode, Xcode, Android Studio, Git, Gradle, CocoaPods, Swift Package Manager, etc.
• Experience working with cross-functional development teams across the software stack.
• Understanding of full-stack system architecture and mobile-to-cloud integration patterns.
• A passion for creating consumer-friendly, connected product experiences.
• Curiosity, adaptability, and a drive to be part of an A-Player engineering team.

Preferred Qualifications

• Rust for cross-platform modules, React Navigation, React Query state management, Protobuf APIs, Xcode/Android Studio build systems
• Prior work with connected devices, IoT ecosystems, or device-to-app connectivity.
• Knowledge of BLE (Bluetooth Low Energy) and WiFi connectivity protocols.
• Experience with Rust, C/C++, or other systems programming languages. Learn
• Background in robotics, consumer electronics, or smart home products.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.

In this position, your responsibility will be to

• Design, implement, and operate core runtime services for serving search queries at scale
• Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
• Develop systems that maintain performance and predictability under high load
• Optimise CPU, memory, and data access patterns in performance-critical paths
• Ensure reliability, observability, and predictability across production services
• Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
• Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
• Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
• Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
• Support experimentation and iteration through controlled rollouts and rigorous benchmarking

You may be a good fit if you:

• Have 5+ years of experience as a software engineer working on production backend systems
• Have strong hands-on expertise in C++ or Rust in real-world, high-load services
• Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
• Understand performance at a systems level — CPU, memory, networking, and data access
• Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
• Think end-to-end about request flows rather than staying within isolated components
• Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
• Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• DBMS internals (open source or SaaS) and cloud infrastructure
• High-load web applications or large-scale APIs
• Performance-critical systems such as trading platforms or real-time data pipelines
• Low-level performance tuning and hardware-level optimisation
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role 

We’re looking for an IT Infrastructure Engineer to support IT operations in multiple datacenters around the world. This is a position for a datacenter hardware expert working at the intersection of multiple technical domains

You’re welcome to work in our office in London, England. 

Your responsibilities will include: 

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture, network configurations and advanced troubleshooting

• Take charge of hardware problem management and develop new solutions

•  Act as a subject matter expert and point of escalation for team members

•  Collaborate with R&D to improve our hardware designs

• Create new processes and documentation for IT hardware team

• Improve support processes and training materials

• Travel to datacenters to participate in large scale hardware projects and collaborative events

We expect you to have: 

• Knowledge of datacenters, server and network equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix operating system and command line

• Advanced network troubleshooting skills

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be an added bonus if you have: 

• Technical certifications in relevant areas

• Skills in design and repairing electronic equipment

• Driving license type B

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical — designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.

In this position, your responsibility will be to

• Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
• Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
• Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
• Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
• Ensure reliability and predictability of pipelines under high-throughput conditions
• Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
• Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
• Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
• Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
• Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals

You may be a good fit if you:

• Have 5+ years of experience building production backend or data systems
• Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
• Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
• Have experience building or operating databases, data planes, or large-scale data pipelines
• Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
• Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
• Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
• Can make pragmatic decisions under pressure without compromising long-term system health
• Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
• Content systems including web crawling, scraping, proxying, or anti-bot infrastructure
• Ad tech, social networks, or other large-scale content platforms
• DBMS internals (open source or SaaS) and cloud infrastructure
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation (ICPC, IOI, or similar)
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python, Go, or C++
• Proven experience deploying ML models in production systems
• Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
• Strong understanding of machine learning and modern deep learning techniques
• Experience working with large-scale data systems and high-throughput environments
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem-solving skills and ability to work in a distributed team

Nice-to-haves:

• Experience with search systems or large-scale information retrieval
• Familiarity with embeddings, transformers, and modern NLP systems
• Experience working on LLM-powered or agent-based systems
• Contributions to open-source projects, technical publications, or conference talks
• Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As a Field Network Engineer at Nebius, you will be responsible for providing IT support at remote locations and deploying data center IT infrastructure in new regions. Your primary focus will be managing projects and IT operations, primarily at our London, England data center, home to a major GPU cloud installation. This role requires frequent travel to support IT operations at other sites. 

You’re welcome to work in our location in London, England, UK. 

Your responsibilities will include: 

• Assist in the preparation and deployment of new infrastructure for upcoming launches.
• Troubleshoot and resolve hardware and network-related issues within our data centers.
• Manage and coordinate remote IT operations by collaborating with smart hands in co-located facilities. Be prepared to travel for on-site installations and technical support.
• Work closely with cross-functional teams and external contractors to ensure seamless project execution.
• Develop and maintain comprehensive technical documentation detailing service operations and best practices.

We expect you to have:

• 3+ years of hands-on experience in project planning and technical problem-solving.
• Strong understanding of network technologies, including data center, server and network equipment.
• Proficiency in IT hardware components, diagnostics and troubleshooting.
• Proactive, responsible, and goal-oriented mindset.
• Excellent written and verbal communication skills in English.
• Willingness to travel regularly for business trips.
• Relevant certifications (e.g., CCNA, CCNP)
• Valid Driving License 

It will be an added bonus of you have: 

• ITIL or/and PMI Certification

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

Nebius is looking for a Senior Technical Recruiter to strengthen our Talent Acquisition team and help us attract top technical talent. In this role, your primary focus will be on active sourcing and building strong pipelines of backend engineers, system engineers, and technology experts to support the company’s continuous growth.

Remote working, Based in the UK (London) OR Netherlands, working Hybrid from Amsterdam.

Your responsibilities will include:

• Technical Talent Sourcing: Proactively identify and engage engineers and other tech specialists through diverse channels (LinkedIn, GitHub, Boolean Search, professional communities, conferences, forums, networking, employee referrals).

• Pipeline Development: Build, maintain, and continuously refresh a pool of qualified engineers and developers for current and future hiring needs; provide funnel statistics to Hiring Managers (e.g., number of applicants, time to hire, etc.).

• Candidate Engagement: Craft personalized outreach and communication to spark interest and showcase opportunities at Nebius. Engage in pre-onboarding activities and contribute to HR projects.

• Screening: Conduct resume reviews and initial calls to assess candidates’ technical background, experience, and motivation.

• Collaboration with Hiring Managers: Partner with engineering leaders to deeply understand role requirements and design effective sourcing strategies.

• Market Research & Insights: Stay on top of industry trends, tech community activity, and competitor hiring practices. Identify the best companies to target for top-tier technical talent.

We expect you to have:

• 4+ years of experience in technical recruitment, specializing in Backend/General Tech such as (but not limited too): Software Engineers, Python Engineers, Platform Engineers, Cloud Platform Engineer, Site Reliability and Infrastructure Engineers, DevOps, Systems Engineers and Data Platform Engineers.

• Strong sourcing expertise and familiarity with tech talent pools, platforms, and communities.

• Deep understanding of tech subject areas, developers’ roles, technologies, and motivations, plus insight into which companies are the best sources of top candidates.

• Ability to manage multiple priorities and work in a fast-paced environment.

• Excellent follow-through, organizational, presentation, and communication skills (both written and verbal).

• Creative problem-solving skills with the ability to adapt quickly.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

Research Engineering (Machine Learning), London 

We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels.

Your impact 

This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.

Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.  

You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

What you will do 

Implementation & Optimisation:

• Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.

Experimentation & Evaluation:

• Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods. Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed)

Evaluation & Inference:

• Implement algorithms and software to analyse and evaluate the performance of AI models.
• Optimising performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack
• Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behavior.
• Developing specialised tools/frameworks/infrastructure to aid in the work above

Collaboration & Knowledge Sharing:

• Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.

Innovation & Impact:

• Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
• Ability to execute on independent engineering projects and software development towards research goals.

Skills and Qualifications

Essential

• PhD in technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development:
• Strong general engineering experience, as evidenced by exposure to one or more of:
• Software design / algorithms, especially for deep learning frameworks
• Modern ML frameworks such as JAX, PyTorch or TensorFlow
• Distributed systems and runtimes
• Compilers (e.g. XLA, Triton, CUDA, Pallas, …)
• Large scale model training and serving infrastructure
• Experience in navigating complex research codebases
• Databases and data processing pipelines
• Numerical methods, simulation, optimisation

• Strong fundamentals in mathematics, statistics, linear algebra
• Experience with the full ML research and development lifecycle.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

Our ideal candidate could have 0-3 years’ experience, including recent graduates. This is a unique opportunity to accelerate your development, working with an experienced and collaborative team and gaining exposure to a broad range of disciplines. At Fractile, we value ideas from everyone, regardless of title or tenure, and we believe the best engineering happens when people share, question, and learn together. You’ll be joining a culture where your curiosity is encouraged, your input matters, and there’s real room to grow.

We are looking for a highly motivated RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems

RTL Development and Implementation:

• Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
• Implement complex design modules with a focus on performance, power, and area efficiency.

Cross-Functional Collaboration:

• Work closely with physical design engineers, and verification teams to ensure seamless integration of the design.

Documentation and Standards Compliance:

• Document RTL design methodologies, module interfaces, and functional requirements.
• Ensure adherence to coding standards, best practices, and maintainability guidelines.

Qualifications and Skills:

Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Experience:

• Experience in digital design, RTL development, or related projects.
• Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating.
• Knowledge of high-speed or low-power design methodologies.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities in cross-functional teams.
• A detail-oriented approach with a focus on quality and efficiency.

About us

• Founded in 2022, team of 70+, which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a highly skilled Senior/Principal Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will be responsible for the end-to-end implementation of complex IC physical designs, from synthesis to sign-off, including opportunities for full-chip ownership. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Drive the physical implementation of ASIC/SoC designs, including floorplanning, placement, clock tree synthesis (CTS), routing, and sign-off, with potential responsibility for full-chip execution.
• Work on synthesis, timing analysis (STA), and optimisation to achieve the best PPA metrics.
• Perform power planning and analysis, addressing IR drop, electromigration, and low-power design techniques.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Interface with foundries and process engineers to ensure manufacturability and yield optimisation.
• Work closely with RTL and architecture teams to drive design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’ Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field.
• 7+ years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below).
• Strong proficiency in EDA tools for place & route, STA, and sign-off.
• Solid understanding of CMOS technology, semiconductor physics, and process limitations.
• Experience with low-power design methodologies, power optimisation techniques, and multi-power domain architectures.
• Expertise in timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Experience in high-performance computing (HPC), AI accelerators, or networking chips.
• Experience or strong interest in leveraging advanced AI tools and models within engineering workflows.

Bristol or London, 3 days in the office, 2 days WFH

At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.

To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.

You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.

What you’ll do

• Build a functional simulator of Fractile’s AI accelerator hardware including a custom ISA
• Implement the device models and behaviours that matter for software correctness: MMIO, interrupts, DMA, memory behaviour, concurrency, and error paths
• Work closely with runtime, kernel, firmware and HW engineers to shape simulator interfaces
• Make it usable at scale: tracing, determinism/reproducibility, CI integration, and containerised workflows
• Collaborate daily with hardware, software, and ML engineers to validate assumptions and close gaps early

What we’re looking for

• Strong C and comfort working in large low-level codebases
• Good intuition and knowledge of low-level hardware behaviour: registers/MMIO, interrupts, memory ordering, concurrency, and failure modes
• You enjoy hard system-level problems, and you take them end-to-end until the results are measurable
• Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

• You’ve built or extended hardware simulators or emulators.
• SystemC experience
• QEMU device model experience is ideal, even better in the TCG
• Docker and orchestration tooling (Kubernetes)
• Familiarity with RISC-V and x86 architectures
• Python experience useful

If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a highly skilled Senior/Principal Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will be responsible for the end-to-end implementation of complex IC physical designs, from synthesis to sign-off, including opportunities for full-chip ownership. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Drive the physical implementation of ASIC/SoC designs, including floorplanning, placement, clock tree synthesis (CTS), routing, and sign-off, with potential responsibility for full-chip execution.
• Work on synthesis, timing analysis (STA), and optimisation to achieve the best PPA metrics.
• Perform power planning and analysis, addressing IR drop, electromigration, and low-power design techniques.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Interface with foundries and process engineers to ensure manufacturability and yield optimisation.
• Work closely with RTL and architecture teams to drive design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’ Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field.
• 7+ years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below).
• Strong proficiency in EDA tools for place & route, STA, and sign-off.
• Solid understanding of CMOS technology, semiconductor physics, and process limitations.
• Experience with low-power design methodologies, power optimisation techniques, and multi-power domain architectures.
• Expertise in timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Experience in high-performance computing (HPC), AI accelerators, or networking chips.
• Experience or strong interest in leveraging advanced AI tools and models within engineering workflows.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems

RTL Development and Implementation:

• Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
• Implement complex design modules with a focus on performance, power, and area efficiency.
• Take ownership of design tasks, including planning, execution, and delivery of work packages.
• Define design tasks for the project, including partitioning, interface specifications, and module definitions.
• Collaborate with verification engineers to ensure functional correctness through simulation and formal verification.

Cross-Functional Collaboration:

• Work closely with physical design engineers, and verification teams to ensure seamless integration of the design.

Documentation and Standards Compliance:

• Document RTL design methodologies, module interfaces, and functional requirements.
• Ensure adherence to coding standards, best practices, and maintainability guidelines.

Qualifications and Skills:

Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Experience:

• 6+ years of experience in digital design, RTL development, or related roles.
• Proven expertise in developing RTL designs for high-performance systems.
• Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating.
• Experience with high-speed or low-power design methodologies.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities in cross-functional teams.
• A detail-oriented approach with a focus on quality and efficiency.

How we work

• Ownership and execution: you will have full agency to drive your work forward
• Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
• Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
• Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
• Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is

About us

• Founded in 2022, team of 70+ which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign-off. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign-off.
• Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
• Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Work closely with RTL and architecture teams to support design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
• Familiarity with EDA tools for place & route, STA, and sign-off.
• Basic understanding of CMOS technology, semiconductor physics, and process limitations.
• Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Interest in working with advanced AI tools and models as part of the design workflow.
• Experience or coursework in high-performance computing (HPC), AI accelerators, or networking chips is a plus.

As a Platform Engineer – Support, you will provide first-level response within Interactive Brokers (IBKR) on any information technology-related issues concerning the Microsoft Windows platform. You will assist business and development end-users via telephone, email, and a centralised ticketing system to resolve or escalate IT issues.

This position requires strong technical knowledge and polished communication skills. Key competencies include intermediate knowledge of Windows and networking technologies, combined with a strong motivation to develop your skills further. You must demonstrate patience with those who are less technically proficient and be able to function effectively in a fast-paced business environment with a high sense of urgency.

Additional requirements for this role include dependability and a willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.

We currently operate a hybrid working model in one of the most iconic towers in the City of London, located on Fenchurch Street. You will also be pleased to know that we offer lunch from a selection of vendors every day you are in the office.

Essential Job Functions:

• Provide technical assistance and support for reported issues related to computer systems, software, and hardware promptly to meet departmental SLAs.
• Use all available means to assist users, including telephone, email, in-person support, and remote support tools.
• Resolve issues related to desktops, laptops, virtual machines, smartphones, scanners, printers, and other peripherals used by employees.
• Install operating systems, applications, hardware drivers, and customise system settings in accordance with departmental standards.
• Analyse problems using troubleshooting skills and diagnostic tools to identify the root cause and implement permanent solutions to prevent recurrence.
• Document issue resolutions in the departmental knowledge base for future reference and contribute to the creation of self-help articles for employee access.
• Provide timely updates on all activity for assigned incidents, including user contact attempts and resolution details, within the incident management system. Escalate incidents to other support teams where necessary.
• Participate in departmental or firmwide projects as instructed by the IT Department management.
• Contribute to departmental productivity and development objectives by participating in training programmes and team meetings.
• Interface with employees, supervisors, directors, and C-level executives, employing a high degree of tact and diplomacy to promote a positive image of the department. Resolve problem situations in a professional manner.
• Maintain excellent verbal communication skills, with the ability to communicate effectively with technical and non-technical colleagues at all levels of the organisation.
• Participate in the assigned schedule to ensure coverage.

Knowledge, Education and Skills Required:

• Associate’s Degree in Computer Science or a related field preferred.
• A+, Network+, Microsoft, and VMware certifications preferred.
• Proven technical support experience.
• Any equivalent combination of education, experience, and training that provides the required knowledge, skills, and abilities.
• Strong organisational, prioritisation, and multitasking abilities.
• Expected to be a team player who shares knowledge for collective growth.
• Able to communicate technical concepts to non-technical stakeholders.
• Must possess strong interpersonal and communication (written and oral) skills, along with a client service-oriented approach.
• Pays close attention to detail, displays flexibility, works independently, and demonstrates self-direction and initiative.
• Displays resourcefulness when solutions are not immediately evident and takes initiative to resolve problems independently.
• Ability to manage multiple high-priority initiatives in a fast-paced, highly technical environment.

Technical Experience Required:

• Strong knowledge of Microsoft Windows desktop operating systems.
• Strong diagnostic and troubleshooting skills, with an innate curiosity and interest in IT.
• Strong knowledge of the Microsoft Office suite.
• Working knowledge of Entra ID and Azure services.
• Working knowledge of administrative scripting (PowerShell, Python, etc.).
• Working knowledge of Intune packaging and PC deployments.
• Working knowledge of the TCP/IP protocol stack and Wi-Fi.
• Working knowledge of DNS and DHCP.
• Working knowledge of supporting PCs in an Active Directory environment.
• Working knowledge of the Office 365 cloud application suite.
• Working knowledge of desktop imaging, application deployment, and hard drive encryption.
• Working knowledge of Active Directory, domains, and group policies.

Location and Hours:

20 Fenchurch Street, London, EC3M 8AF
Coverage between 7:30 am - 6 pm (hours to be agreed), Monday – Friday (currently a Hybrid model)

Benefits:

• Career support and development
• Salary commensurate with experience
• Performance-based discretionary cash bonus scheme
• Discretionary stock grant
• Group Life Assurance cover
• Group Income Protection
• Occupational pension scheme based on gross earnings
• Hybrid working model*
• Annual leave above the statutory minimum, increasing with service
• Daily company-paid lunch and healthy snack options (when working from the office)
• Access to Private Medical Insurance, Dental Plan, and/or Health Cash Plan (including dependants)*
• Corporate events
• Travel season ticket loans*
• Cycle to work scheme*

*Subject to successful completion of the probation period

Interactive Brokers is an Equal Opportunity Employer committed to providing a diverse, equitable, and inclusive workplace for its employees.

If you have what it takes to join our London office team, please apply today!

Interactive Brokers (UK) is committed to promoting, monitoring, and implementing best practices, policies, procedures, and culture in adherence to the FCA Consumer Duty.

Available Locations: Amsterdam, Netherlands, Lisbon, Portugal, London, United Kingdom, Munich, Germany, Paris, France

What You’ll Do

The Pre-Sales Solutions Engineering organisation is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and efficient adoption roadmaps for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, curious and collaborative team.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below: 

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Czech and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some (10-15 days per quarter) travel without travel restrictions: we expect to travel to customer offices, conferences and/or do talks. 

Bonus! 

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust. 

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Available Locations: London, Amsterdam, Lisbon, Munich, Paris

What you’ll do:

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Examples Of Desirable Skills, Knowledge And Experience:

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.

Additional experience might include:

• Language: fluent in Polish and English
• 5-to-10 years of experience in the IT industry.
• Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
• Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
• Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.

Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.

• 
  Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.
• Communication: Excellent presentation skills with a strong command of business English. 
• Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
• Travel: Ability to travel to customer sites, industry events and internal summits.

Bonus!

• Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.

• Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.

About the opportunity

Contentful’s Customer Support Engineers (f/m/d) are at the forefront of our efforts to assist customers who are building amazing websites, apps, and other digital experiences using cutting-edge technologies.

Working directly with developers from our customers, our Customer Support Engineers help some of them with massive scaling and others with getting started on new integrations. Through ticket-based assistance, they identify and research Contentful-related issues that users experience, and then troubleshoot and help resolve those issues.  By providing this assistance, and escalating issues when necessary to our Engineering team, our Customer Support Engineers give our customers confidence that their needs are represented and addressed. Many large customers rely on Contentful to power their public websites, mobile apps, and other mission-critical parts of their business; our Customer Support Engineers play a vital role in enabling their success in doing so.

What to expect?

• A spirited group from around the globe, we keep things light-hearted while also solving difficult customer situations and creating new internal processes
• Intellectual curiosity and interpersonal relationship skills are core to what we do; we seek to understand the “why” and not just the “what”
• We practice empathy and the art of anticipating customer needs

What do you need to be successful?

• Minimum 2 years previous experience with a direct contribution in Support and/or Customer-facing processes and tools like; a ticketing system, in-app chat, shift handover, on-call coverage, service level agreements, escalation process, and incident response
• Experience working with APIs and API-based SaaS integrations
• Software development exposure/troubleshooting experience in one or more of our supported languages (JavaScript, Java, Ruby, .Net, PHP, Python, Objective-C, or Swift)
• A good understanding of how web applications and mobile apps are built and work
• Confidence with common UNIX-like command-line tools
• A track record of getting things done in an environment that combines collaboration and individual responsibility
• Ability to read server logs and process them to aggregate/analyze data
• An understanding of Agile processes or experience working in an Agile/Scrum environment
• Strong problem-solving skills
• Ability to clearly explain concepts and produce example code that complements the explanation
• Customer-centered, high level of empathy, and cross-team collaboration mindset
• Results and outcome-oriented; team focused
• Experience with working with global teams, open to cultural and thought diversity
• Excellent English communication skills, both verbal and written

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Analytics Engineer 

About the Role

We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform.

In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company.

Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.

Key Responsibilities 

Data Modeling & Transformation

• Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
• Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
• Apply best practices in modularity, documentation, and testing to ensure long-term reliability.

Pipeline Ownership

• Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
• Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.

Enablement & Collaboration

• Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
• Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.
• Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.

What You’ll Need

Required

• Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
• Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
• Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
• Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
• Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Preferred

• Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
• Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
• Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
• Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan

What’s in it for you

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Join Contentful as a Full Stack Software Engineer and Innovate with Automations, Workflows, and Collaboration Tools.

Become a part of the innovative team at Contentful, where we empower thousands of customers to manage content at scale. We're seeking talented Full Stack Software Engineers who are passionate about building scalable, high-performance applications using modern technologies. If you're excited about pushing the boundaries of what's possible in the domain of Automations, Workflows, and team collaboration within the Contentful ecosystem — and have experience with TypeScript, React, and Node.js — we'd love to have you on our team.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class automation, workflow, and collaboration features for our customers.
• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js.
• Collaboration Tools Integration: Implement and integrate collaboration technologies to enhance team productivity and improve user experiences across the platform.
• Holistic Thinking: Consider components and systems while considering a holistic user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction.
• Data-Driven Development: Utilize analytics to inform product decisions and improve features.
• Continuous Improvement: Participate in code reviews and contribute to improving our development processes.
• Stay Current: Keep up-to-date with the latest industry trends especially in the domain of automations, workflows, and collaboration tools.

What you need to be successful?

• Proven Experience: Demonstrable experience as a Full Stack Software Engineer in a product development environment.
• Technical Proficiency: Strong skills in TypeScript, React, and Node.js. Interested in clean code practices and familiarity with enterprise architectural design patterns.
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP.
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to work effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.

Preferred:

• DevOps Practices: Understanding of CI/CD pipelines and DevOps methodologies.
• Past Project Experience: Previous experience working with automation engines and/or building collaboration features and team workflow tools highly appreciated but not required.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.