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

Note: If you are an intern, new grad, or staff applicant, please do not apply using this link and visit our jobs page for those specific postings.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization

Exact team matching for one of the subteams within the following orgs will begin during final stages. If you have a strong preference for a specific org, please flag this to your recruiter during your recruiter screen.

Money as a Service (MaaS)

Money as a Service is a new org within Stripe which is all about making money programmable: funding, FX’ing, sending, spending. The Money as a Service (MaaS) teams build the APIs and product experience that allow Stripe users to perform these money management capabilities on Stripe globally.

You can see some of the recent products we’ve launched:

• Multicurrency balances
• Global Payouts

Payments and Risk

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. Optimized Checkout and Link teams work to create best-in-class checkout experiences that enhance customer satisfaction and drive merchant conversion rates. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability.

What you’ll do

We’re looking for backend, frontend leaning fullstack, and fullstack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner.

Responsibilities

• Scope, design, build, and maintain APIs, user experiences, services, and large-scale systems that reliably and efficiently handle billions of money movement requests.
• Debug and solve critical production issues across services and multiple levels of the stack.
• Mentor engineers to help them grow.
• Meet directly with our users to help shape product changes.
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes.
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-12+ years of industry software engineering experience (does not include internships nor include co-ops).
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic).
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success.
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial.
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users.

Preferred Qualifications

• Experience building user interfaces.
• Experience with user research or interaction design.
• Experience designing and building APIs.

We are looking for a Security Engineer to join the Enterprise Security team within the overall Security organization at Recorded Future. This individual will be primarily responsible for maintaining and uplifting the security stack utilized by the security team, with emphasis on a Splunk environment. The individual should also be comfortable developing creative solutions to engineering-related problems in order to best equip the security team to manage enterprise-wide security of Recorded Future.

What You'll Do:

• Deploy, configure, and maintain the Splunk environment to help the internal security team effectively manage security threats and risks
• Work cross-functionally to support other tech stack owners in the configuration and maintenance of security-centric tools (e.g. ELK, IAM tools, DLP technologies)
• Architect, build, and expand on existing solutions to solve challenging problems
• Develop dashboards, design data models, and deliver analysis of security logs in order to ensure the security of the Recorded Future enterprise

What You'll Bring:

• 3+ years of experience with deployment, configuration and troubleshooting of SIEM appliances, (Splunk)
• Experience operating within a CSIRT or SOC environment
• Experience with Cribl is a Plus
• Hands-on ability to manage distributed Splunk cluster infrastructure and all related components
• Experience administering a Splunk environment consisting of search heads, indexers, deployers, deployment servers, universal forwarders, clustering and Splunk IT Service Intelligence for access, performance, and operational roles.
• Good knowledge of Splunk SPL and visualizations to identify anomalies and trends
• Ability to define and onboard new data sources into SIEMs/Splunk
• Scripting skills with languages such as Perl, Bash, Python to develop custom code when needed
• Ability to diffuse large sets of data and information into actionable recommendations for the security team and leadership
• Strong problem-solving and analytical skills
• Time management and organizational skills
• Willingness to travel 10%

The Role

As a Channel Security Engineer at Tenable, you are the strategic, technical bridge between our Go-To-Market (GTM) teams and our EMEA partner ecosystem. Your primary mission is to continue to transform our Distributors and Value Added Resellers (VARs) into highly capable, independent extensions of our own pre-sales team.
 

You are a dynamic, social individual who enjoys human connection, understanding that channel success is inherently a collective effort and relies on presence as much as knowledge. Rather than operating in isolation, your remit is to orchestrate the full weight of Tenable’s resources, aligning our internal experts with your partners to drive mutual commercial success. You know how to take the broader concepts of Exposure Management, the ever changing landscape of AI, and the wider security landscape, formulating them into actionable, profitable strategies that fit
seamlessly into a partner's existing portfolio.

Key Responsibilities:

• Primary Technical Partner Advocate: You will be the face of Tenable for our UK partner community, the first person they call when they need a technical steer or a strategic sounding board. Your goal is to move beyond mere "support" and instead build genuine, long-term trust with partner engineers. By acting as their dedicated champion, you ensure that recommending Tenable becomes second nature to them, effectively making our platform their default choice in a competitive market.
• Dynamic Field Engagement: You will be out in the field, representing Tenable’s market-leading vision at key partner events across the UK and Europe. Whilst you will not be performing or directly overseeing Proof of Values (PoVs) yourself, you are the critical orchestrator, identifying the requirement, qualifying the opportunity, and aligning the right technical experts from within Tenable to execute the PoV and secure the win.
• Cross-Functional GTM Collaboration: You will actively span internal and external teams, aligning with Tenable’s direct sales, marketing, and channel management. We all share the same objective to win, and you will act as the technical linchpin ensuring our channel strategy moves in lockstep with broader regional GTM goals.
• Translating Tech into Commercial Value: You will take the broad principles of Exposure Management and translate them into a commercial language that partners can readily take to market. You will focus on how the Tenable One Exposure Management Platform integrates into a partner's specific strategy, demonstrating exactly how our solutions enhance their portfolio and drive tangible value for their clients.
• Strategic Partner Enablement: You will execute a programme to elevate our partners’ technical autonomy. You are not operating in a silo, you have the entire force of Tenable behind you. Your role is to leverage our corporate resources, enablement materials, and internal teams to build out a loyal, capable extension of our pre-sales organisation.
• Create and Nurture Guardians: Tenable’s flagship partner SEs are those who are invited to join our Guardian program, giving you access to insider knowledge, beta code and all the things that our internal SEs would get. This is the pinnacle of our partner SE landscape and is critical to how we gain more traction.

What You Bring (The Ideal Candidate):

• The "Human" Element: You are an outgoing, high-energy communicator who genuinely enjoys being in front of partners. Your presence is engaging, and you have the collaborative mindset needed to bridge the gap between internal teams and external partners, ensuring everyone is moving in the same direction.
• Strategic Channel Intuition: You bring 5+ years of experience in Pre-Sales or Partner Engineering, specifically within a two-tier channel model. You understand the "why" behind the business, navigating the distinct operational and commercial dynamics of Distributors and VARs.
• The Role of the Orchestrator: You don’t need to be the deepest architectural expert in every room. Instead, your strength lies in translation and coordination. You can turn complex Exposure Management principles into compelling commercial propositions and, crucially, you know exactly when and how to pull in any of Tenable’s considerable resources to help. You are not a lone-wolf here.
• A Blueprint for Growth: You have a proven track record of transforming transactional relationships into strategic partnerships. You know how to coach and mentor partner engineers, guiding them from being "just a reseller" to becoming a true, seamless extension of the Tenable pre-sales team.

#LI-JG1

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

What You'll Do

The ideal candidate is hungry to learn, excited to cross-functionally collaborate, driven to deliver optimal customer experiences, and is excited to learn from and teach others. Hightouch is still a startup, which translates to pitching in across the organization and wearing many hats as we grow. You will be excited for an opportunity that allows you to be an important member of an exceptional company, be willing to ask questions when you’re unsure, and take initiative when you’re passionate about a topic/solution/process.

Finally, you’ll need to be a self-starter, comfortable with ambiguity, willing to challenge the status quo, and a strong team player. Everyone at Hightouch plays an important role in our growth and this position is at the forefront of our efforts to drive an exceptional for every user. We’re of the firm belief that keeping customers promises is how we’ll win and we’re excited for this role to play an integral part of the customer journey.

What We're Looking For

• 2+ years in a customer-facing role
• Technical background either through experience or education
• Conversant in SQL or willing to learn the basics and a few more advanced topics
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition, and humility
• High proficiency in reading, writing, and speaking English
• Ability to adapt to an ever-changing work environment
• Thorough understanding of the technology industry and its players

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

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

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

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 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. 

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

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

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

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.

Role Overview

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideally, you have:

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Role Overview

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideally, you have:

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

Scale is hiring ML Research Engineers to bridge the gap between frontier research and real-world impact. While we solve critical challenges for global governments, your role will extend beyond implementation. You will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.

Your mission is threefold:

• Frontier Research & Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
• Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
• Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.

You will:

• Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.
• Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
• Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
• Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
• Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
• Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.

Ideally, you’d have:

• Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
• Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
• Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
• Safety Expertise: Experience in alignment, robustness, or interpretability research.

Nice to haves:

• Experience with large-scale distributed training on massive clusters.
• Experience in building agentic systems that are reliable.
• Experience in Sovereign AI or working with highly regulated data environments.
• A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally you’d have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise.

You will:

• Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements.
• Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises.
• Be accountable for securing the “technical win” by unblocking technical challenges
• Interact with customers daily to understand their needs and design solutions to better serve them.
• Design and develop “Scopes of Work” by breaking down customer challenges into a project plan
• Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage
• Work with AEs and PMs to identify customer-specific feature requests.
• Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have:

• Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals.
• Prior experience developing with Python, Java and/or other web development languages.
• Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement.
• A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership.
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers.
• High level of comfort communicating effectively across internal and external organizations.
• Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves:

• GenAI Experience
• Forward deployed engineering experience
• Machine Learning Experience

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. 

At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.

You will:

• Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 
• Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

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.

Join our Data team, responsible for providing high-quality reference data, internal and external reporting, and front-office analytics to support trading and research workflows. The team works closely with engineering, compliance, and quant stakeholders to ensure data flows are accurate, robust, and aligned with business needs.

Your future role within QRT

You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.

• Design and develop scalable services to process and distribute reference data across asset types
• Automate life cycle events such as corporate actions and coupon payments across instruments
• Build and maintain systems for internal and external reporting (including end-of-day reporting, compliance, and regulatory)
• Develop real-time and batch reporting infrastructure for front-office consumption
• Collaborate with research and execution teams to align data pipelines with trading workflows
• Implement automated testing and maintain CI/CD pipelines for delivery assurance
• Contribute to systems integration between Python- and C#-based components

Your present skillset

• Expert-level Python development experience, with solid understanding of system design and architecture
• Proven experience working with C# in a production environment
• Familiarity with relational databases and SQL
• Understanding of testing strategies as part of CI/CD workflows
• Excellent communication skills and the ability to work collaboratively across teams

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 QRT’s 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.

The Talent Acquisition team partner closely with Technology, Trading, and Business leaders to deliver exceptional hiring outcomes in highly competitive markets. We combine deep market knowledge with a proactive, data-driven approach, ensuring QRT attracts and secures world-class talent. Beyond day-to-day recruitment, the team also supports strategic initiatives such as global office build-outs and continuous improvement of our hiring tools and processes.

Your future role within QRT:

You will play a key role in supporting hiring for our technology and infrastructure teams, with a particular focus on roles that ensure the stability, scalability, and security of our trading platforms.

This is an end-to-end recruitment role with an emphasis on delivery, candidate experience, and developing strong partnerships with hiring managers.

Key responsibilities include:

• Managing end-to-end hiring processes for infrastructure-focused technology roles, including Site Reliability Engineers, Production Engineers, Platform/DevOps Engineers, and Security Engineers.
• Supporting sourcing efforts for technical roles, building talent pipelines through LinkedIn, internal tools, and market research.
• Partnering closely with hiring managers to understand role requirements across infrastructure, production support, and security functions.
• Proactively engaging candidates through outreach, networking, and relevant platforms to build consistent talent pipelines.
• Delivering a high-quality candidate experience from initial contact through to offer and onboarding.
• Supporting hiring projects such as team expansions and contributing to process improvements within Talent Acquisition.
• Working with external agencies where needed, ensuring alignment with QRT’s expectations and standards.

Your Present Skillset:

• 3–5 years of experience in technology recruitment, ideally with exposure to infrastructure, platform, or production-focused roles (e.g. SRE, DevOps, Support Engineering, Security).
• Experience supporting sourcing and delivery in competitive technical markets, with an interest in infrastructure and systems-focused hiring.
• Familiarity with ATS platforms (e.g. Greenhouse) and sourcing tools such as LinkedIn Recruiter.
• Strong organisational skills and the ability to manage multiple roles and stakeholders in a fast-paced environment.
• Clear communication skills and the ability to build effective working relationships with hiring managers and candidates.
• A proactive mindset with a willingness to learn and develop deeper knowledge of technical hiring markets.

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.

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

Role: Data Engineer

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Data Engineering

The Role

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers.

You’ll be joining our growing Data Engineer & Infrastructure team - a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site.

This is a hands-on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient.

You take pride on executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our Products across the entire business.

This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day.

What You’ll Be Doing

• Build and manage data pipelines that ingest, transform, and serve data across the business
• Contribute to the design and implementation of cloud-based infrastructure using Terraform
• Work on complex data challenges, balancing short-term delivery with long-term platform evolution
• Collaborate with data product owners and stakeholders to collect and refine data requirements
• Optimise data storage, infrastructure performance, and cost within our data platform
• Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
• Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
• Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
• Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
  
  

We're Looking For Someone Who

• Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
• Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
• Has strong Python coding skills and is confident writing complex SQL queries
• Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
• Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
• Experience with dbt and understands data modelling principles and best practices
• Deep understanding of data storage, modelling, and orchestration concepts
• Has demonstratable experience setting up and managing data pipelines end-to-end
• Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Experience working with version control (Git) and CI/CD practices
• Awareness of data quality, privacy, and security best practices
• Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines

The Role: Technical Product Manager (AI Enablement)
Location: London office / Hybrid (2 days per week in the office)
Reporting to: Head of Technology Operations

The Role

Our AI Enablement team accelerates how product and engineering teams deliver value by enabling safe, effective, high‑quality adoption of AI‑native tools, practices and agentic workflows. We partner across the organisation to reduce friction, enhance developer productivity, and drive governed AI integration at scale. 

As the Technical Product Manager for the AI Enablement team, you will help shape how product development teams adopt AI responsibly and effectively; establishing platforms and enabling agentic workflows with patterns, frameworks, and enablement practices that scale across engineering and product development to increase productivity and quality. 

This is a highly cross‑functional role requiring strong technical fluency, exceptional stakeholder alignment skills, and a deep understanding of the product lifecycle and software engineering workflows. 

Key outcomes for this role:

Customer-Centric AI Enablement

• Internal engineering and product teams experience limited friction in the adoption of production-grade AI tools, agents and workflows that directly address the bottlenecks, friction, and inefficiencies in the product development lifecycle.  

Accelerated Time-to-Value

• Teams deliver software faster and more efficiently through AI‑enhanced product development, testing, documentation, and operational workflows. 
• High‑impact use cases are identified, validated, and rolled out systematically across teams.
   

Clear Business Alignment & Visibility

• AI enablement initiatives and the roadmap are tied directly to engineering productivity, business value streams, and strategic priorities.
• Communication of impact, tradeoffs, and adoption progress is transparent and visible to stakeholders.
   

Data-Driven Decision Making 

• Clear AI enablement metrics (adoption, velocity improvements, model performance, workflow usage) drive prioritisation and planning.
• Teams focus on the highest‑value problems through insight‑led prioritisation. 

Key Responsibilities:

Internal Customer Insights

• Maintain an understanding of engineering, product, QA, security, and operations teams’ AI needs, friction points, and opportunities.
• Use structured research, platform telemetry, surveys, and direct engagement to guide prioritisation.  

AI Platform & Capability Decision

• Working with Technology Leadership shape the internal AI platform strategy: capabilities, use cases, patterns, and adoption pathways.
• Define “what good looks like” for AI‑native and agentic workflows such as:  

*AI‑assisted generation and review 

*Test generation and validation 

*Documentation automation 

*Log/metric analysis and incident assistance 

*Internal AI agents supporting SSDLC tasks 

Product Roadmaps & Delivery

• Own and maintain a clear AI enablement roadmap that balances customer needs, capability maturity, governance, and organisational priorities. 

• Ensure tradeoffs and recommendations are well‑articulated with supporting data. 

• Ensure the successful end-to-end delivery of the roadmap.  

Governance, Safety & Scalability

• Partner with security, compliance, data, and architecture teams to ensure all AI adoption is safe, governed, and scalable. 
• Translate emerging risks and constraints into product decisions and prioritization frameworks.
   

Enablement & Adoption

• Create clear documentation, playbooks, and training materials for AI tooling and workflows. 

• Partner with engineering teams to pilot new AI capabilities, capture learnings, and scale successful patterns across product development. 

• Champion AI best practices and ensure enablement efforts are measurable, repeatable, and continuously improving. 

• Measure adoption, efficiency, quality, and report progress at key stakeholder forums. 

We're looking for someone who

• Has experience managing technical products (developer tools, ML/AI systems, automation platforms, and multi‑agent systems). 

• Understands the software development lifecycle, DevOps/SRE practices, and the realities of engineering and product delivery workflows. 

• Has strong empathy for engineers and enjoys spending time with users to deeply understand workflows and bottlenecks. 

• Can translate complex technical opportunities into clear business value and narrative. 

• Is highly structured, self‑directed, and capable of aligning diverse stakeholders. 

• Enjoys experimentation and can balance rapid iteration with risk‑aware governance. 

Role: Senior iOS Engineer

Location: Soho Square, London Office / Hybrid  

Reporting to: Engineering Manager 

The Role 

We are on a mission to be ‘the app you can’t move without’. Since launching Rightmove in 2000 with a will to make home- hunting happy, we are now the biggest property app and website in the UK with over 2.5 million iOS users a month.

We are seeking a highly skilled and product-minded Senior iOS Engineer to join our mobile team. In this role, you will be instrumental in delivering high-impact, user-centric mobile applications. You will collaborate closely with cross-functional teams, including product management, design, and analytics, to bring innovative ideas to life. As a Senior Engineer, you'll be expected to mentor others, take ownership of projects, and drive best practices to elevate our product quality and user engagement. Responsibilities will include:

• Product Collaboration: Partner with product managers and designers from the early stages of feature development, contributing your insights to shape our product roadmap with user needs in mind.
• End-to-End Ownership: Lead and take full responsibility for the development lifecycle of new features, from concept through to production, ensuring a seamless user experience.
• Technical Excellence: Architect, design, and implement complex, high-performance mobile applications, utilising modern iOS development frameworks and best practices.
• User-Focused Solutions: Advocate for the user at every stage, ensuring our iOS app provides intuitive, accessible, and delightful experiences.
• Mentorship: Provide guidance, code reviews, and mentorship to junior and mid-level engineers, fostering a collaborative and learning-driven culture.
• Data-Driven Iteration: Collaborate with data teams to leverage analytics and user feedback to continuously improve and refine product features post-launch.
• Quality & Performance: Ensure the codebase remains scalable, maintainable, and efficient through best-in-class engineering practices, including code reviews, CI/CD, and automated testing.

We’re looking for someone who:

• Experience: 5+ years of experience in iOS development, with a focus on building and shipping high-quality consumer applications.
• Product Mindset: Demonstrated ability to understand product goals and translate them into technical solutions that resonate with users.
• Technical Expertise: Advanced proficiency with Swift, SwiftUI, UIKit, and familiarity with MVVM or other architectural patterns in iOS.
• Collaborative Skills: Proven experience working in cross-functional teams with product managers, designers, and QA to drive product outcomes.
• Data-Informed Decision-Making: Familiarity with mobile analytics and a data-driven approach to iterating on user experience.
• Performance Optimisation: Deep understanding of iOS performance optimisation techniques to ensure smooth, responsive, and high-performing applications under a variety of conditions.
• Mentorship and Leadership: Experience in mentoring other engineers, with a collaborative approach that builds team capabilities.

Bonus points for:

• Experience working in Agile or Lean environments.
• Understanding of accessibility standards and best practices for mobile applications.
• Familiarity with mobile release and testing strategies in CI/CD environments.

Our approach to AI: 
At Rightmove, we expect everyone to actively explore and use AI tools to improve their productivity, creativity, and impact. We believe that software and product are ultimately people problems, and everything we build is aimed at improving the lives of others. Our view is that thoughtful use of AI can free up more time for the human parts of our work, understanding real problems, listening carefully, and making sure we are solving the right things in the right way. If you are not curious about how to use AI to work smarter, this is unlikely to be the right environment for you. 

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

Role: Senior Android Engineer 2 
Location: Soho Square, London Office / Hybrid 
Reporting to: Engineering Manager 

The Role 
We are on a mission to be "the app you can’t move without". Our Android platform is central to how millions of people discover and engage with property in the UK. 

We are seeking a Senior Android Engineer 2 to provide technical leadership across the Android app. In this role you will set the architectural direction, define standards for quality and performance, and lead cross-team initiatives that elevate our Android capabilities. You will work closely with Product Management, QA, Back-end engineering, Product Design and Analytics to ensure the platform enables rapid experimentation while remaining robust and maintainable.  

Responsibilities will include: 

• Platform Strategy: Define and drive Android architectural strategy, including modularisation, navigation and deep link approaches, shared libraries and design system implementation. 

• Cross-Team Leadership: Partner with multiple teams to ensure consistent approaches, high code quality and effective reuse of components and tooling. 

• Complex Delivery: Lead the design and delivery of high impact, cross cutting projects, unblocking teams and making pragmatic technical decisions. 

• Developer Experience: Improve build, CI/CD and local developer workflows, focusing on reliability, feedback speed and ease of contributing. 

• Performance and Reliability: Set expectations for performance, startup time, memory usage and crash-free rates, and lead initiatives to meet them. 

• Coaching and Mentorship: Support Senior and Mid-level Android engineers through technical guidance, career development conversations and involvement in hiring and progression frameworks. 

• Community Leadership: Represent Android within the wider Native Apps and Engineering communities, sharing best practices, running guilds or forums and contributing to broader technical direction. 

We are looking for someone who: 

• Experience: Has deep experience building and evolving large scale Android applications, ideally supporting millions of users. 

• Architectural Leadership: Has led architectural evolution and platform initiatives and is comfortable balancing ideal designs with practical constraints. 

• Strategic Influence: Can work with Product and Technology leaders to align on long term plans and communicate technical tradeoffs clearly. 

• Cross-Functional Collaboration: Builds strong relationships with Product, Design, QA, Data and Backend, and is skilled at facilitation and alignment. 

• Operational Excellence: Experienced in observability, incident response, SLOs and continuous improvement of reliability and performance. 

• People Leadership: Enjoys growing others, influencing hiring standards and helping shape an inclusive, high performing engineering culture. 

• Communication: Can clearly articulate complex issues and proposals to a variety of audiences, from engineers to senior stakeholders. 

Bonus points for: 
- Experience in multi-module, multi-app or white-label Android architectures. 
- Prior involvement in setting technical career frameworks or promotion criteria. 
- Public engagement in the Android ecosystem through talks, writing or open source. 

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

Our approach to AI: 
At Rightmove, we expect everyone to actively explore and use AI tools to improve their productivity, creativity, and impact. We believe that software and product are ultimately people problems, and everything we build is aimed at improving the lives of others. Our view is that thoughtful use of AI can free up more time for the human parts of our work, understanding real problems, listening carefully, and making sure we are solving the right things in the right way. If you are not curious about how to use AI to work smarter, this is unlikely to be the right environment for you. 

Location: London Office / Hybrid (3 days a week working from home)

Reporting to: Engineering Manager

The role 

As a Senior Software Engineer I, you will own the delivery of high-quality software and products, able to be deployed frequently and safely into production. Working with similarly minded people, you collaborate with your team to encourage best coding practices. You are an advocate of test automation and have a clear view of where to make the best use of it. 

At Rightmove we work as part of autonomous cross-functional teams in an agile environment. Each team owns a part of the Rightmove experience made up of design, product and engineering. You will deliver quality solutions that satisfy millions of users, thousands of agents and hundreds of passionate Rightmovers. You will contribute towards defining solutions to business and technical problems in a way which ensures maintainability, scalability and high performance standards. We work collaboratively across a mix of product and centralised teams, together working towards Rightmove’s strategy.  

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

Key Responsibilities:

• Design and deliver impactful features across our applications using technologies such as TypeScript, React, Node.js, Express, Kubernetes, and GitLab.
• Collaborate with cross‑functional partners to solve meaningful problems and build thoughtful, scalable solutions.
• Contribute actively to sprint planning, helping shape the roadmap and influence feature prioritisation.
• Participate in engineering forums and initiatives that strengthen our craft and promote continuous improvement.
• Share knowledge and mentor others, helping to foster an inclusive, supportive culture of learning and growth.
• Provide clear, considered estimates for user stories to support effective team planning.
• Engage in constructive code reviews, offering supportive feedback and championing high‑quality engineering practices.
• Explore and advocate for emerging technologies that enhance our platform, developer experience, and ways of working.
• Work effectively in an Agile environment, embracing collaboration, experimentation, and iterative improvement.

• Has proven experience in a user‑facing product team, understanding customer needs and the real‑world impact of their work.
• Is passionate about quality, with hands‑on experience in TDD and tools like Jest and React Testing Library.
• Values clean, maintainable code and enjoys discussing different ideas and approaches.
• Has experience mentoring and supporting other engineers, contributing to an environment where everyone can thrive.
• May have experience with modern Angular and/or Java; this is a bonus, not a requirement. What matters most is a willingness to work across boundaries and contribute across the stack when needed.
• Is curious about how users interact with live applications, and motivated to improve performance, usability, and overall experience.
• Embraces modern technologies and brings a mindset of continuous improvement.
• Feels comfortable asking questions, sharing ideas, and learning from others in a collaborative team setting.

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Location: London Office / Hybrid (3 days a week working from home)

Reporting to: Head of Programmes & Analysis

The role 

At Rightmove we are investing heavily in the future of our business - growing our existing revenue streams, exploring new commercial opportunities, leveraging AI, upgrading infrastructure and onboarding new tooling and capabilities. We’re looking for a hands-on Project Manager to lead initiatives spanning multiple products, platforms, and business teams.  You will be expected to drive outcomes, bring structure to ambiguous problems and ensure progress across complex dependencies. We run lean and value people who go beyond narrow role definitions. In this role, you’ll be expected to get into the details, build a deep understanding of your projects, and carry out hands-on analysis where required. 

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

What you’ll be doing 

• Own project outcomes end‑to‑end, with a clear grasp of what’s being built and why, not just timelines
• Create and maintain pragmatic delivery plans, actively managing dependencies, trade‑offs and risks
• Keep scope focused on high‑value outcomes as priorities evolve
• Apply lightweight governance and reporting that supports delivery rather than slows teams down
• Work closely with Product Managers and Engineering Leads to navigate ambiguity and unblock progress
• Proactively manage risks, issues and blockers, stepping in directly where needed
• Coordinate business and operational change so impacted teams understand and adopt what’s delivered
• Track costs and procurement where required, without letting process outweigh progress
• Lead practical retros focused on real improvements, not ceremony
• Get hands‑on with analysis when needed to clarify problems, validate assumptions and shape solutions

We’re looking for someone who 

• Is organised but comfortable working without perfect information
• Adapts quickly as priorities change, while keeping delivery moving
• Takes ownership and drives progress, not just updates
• Communicates complex delivery or technical topics clearly
• Is curious about the products and systems they deliver, and willing to get into the details
• Moves easily between analysis and delivery coordination
• Builds trust and influence in matrixed environments
• Acts with integrity and is confident in raising delivery risks

What you’ll bring to the role 

Essential 

• Proven experience delivering cross‑team software initiatives where requirements or solutions evolved
• Experience in product‑led organisations, partnering closely with Product and Engineering
• Practical application of agile ways of working, used flexibly rather than by the book
• Ability to influence and lead without authority in lean, matrixed environments
• Experience using analysis and delivery data to diagnose issues and improve outcomes

Ideally 

• Background in a hands‑on technology role (e.g. BA, delivery lead, engineer or similar)
• Experience supporting the adoption of new systems or ways of working
• Familiarity with Jira, using delivery data to understand and improve flow, not just report status

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Engineering

Domains: Consumer

The Role

We’re searching for a Principal Engineer to help shape the future of engineering across one of our most influential spaces in the business: the Consumer domain, specifically. This is the heart of the customer journey, and your work will directly power experiences used by millions every day.

This senior cross-domain role is ideal for someone who wants to drive impact across multiple teams, deepen our architectural thinking, and help us raise the bar on technical execution, product delivery, and long-term platform health. We are particularly looking for someone with deep specialist knowledge in Elastic, able to guide how we evolve our search and discovery capabilities for the next stage of our growth.

You’ll bring a blend of technical excellence, strong product instincts, and collaborative leadership, acting as a trusted partner to engineering managers, product leads, and domain heads.If you’re already working across team boundaries, influencing technical decisions, mentoring engineers, and thinking beyond the local scope, this could be the next step for you.

✍️Head to our tech blog to find out more about our engineering culture!

What you'll be doing:

Engineering & Architecture Leadership

• Lead the design of systems that are scalable, resilient, and fit for purpose, particularly where complexity cuts across team boundaries.
• Shape the architectural direction of the consumer domain, particularly search, in alignment with our strategic goals.
• Identify areas where we can increase reuse, improve performance, or make smarter technology decisions.

Delivery Impact

• Partner with EMs and PMs to guide scoping, sequencing, and risk mitigation for large, high-value initiatives.
• Unblock teams by spotting better ways forward, helping shift delivery patterns or simplifying complexity.
• Influence outcomes through strong product awareness and a focus on business and user value.

Standards & Practices

• Champion engineering quality, from code structure and testing practices through to observability and operational readiness.
• Spot patterns and inefficiencies in how we build software and collaborate, and help teams adopt better ways of working.
• Influence how we think about platform services, shared capabilities, and long-term sustainability of our tech estate.

Coaching & Influence

• Be a source of mentorship and thought partnership for senior engineers and tech leads.
• Model excellent communication, collaboration, and leadership behaviours across teams.
• Help us grow our internal technical community, supporting better knowledge sharing and cross-domain learning.

We're looking for someone who:

• Is already operating across multiple teams or domains and has a strong sense of the wider technical estate.
• Brings deep experience designing and delivering complex systems with significant business or user impact.
• Communicates clearly, adapts to the audience, and helps bring people on the journey.
• Thinks strategically, balancing technical concerns with product and organisational context.
• Regularly supports or mentors other engineers and is invested in growing our engineering culture.
• Knows how to move between high-level architecture and hands-on technical problem solving as needed.
• Is trusted by peers and stakeholders alike, known for their judgement, empathy, and pragmatism.

Why This Role?

• Influence some of the most strategic and visible areas of the business.
• Shape technical direction in ways that unlock better outcomes for teams and customers.
• Create the conditions for great engineering across a large, varied and interesting codebase.
• Help others grow while continuing to grow yourself.

Our Approach to AI

At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Location: London / Hybrid (2 days a week in the office) 
Reporting to: Platforms Engineering Manager

The role 

As a Platform Engineer in our Cloud Foundations team, you will play a crucial role in designing, implementing and maintaining our cloud infrastructure on Google Cloud Platform (GCP). You'll be responsible for ensuring the scalability, security, and reliability of our cloud environment, enabling Rightmove to deliver innovative solutions efficiently and cost-effectively. This is a team focused on setting standards rather than fighting fires, defining cloud governance, controls and guardrails so developers can deploy confidently on a secure, audited platform. You’ll work closely with database engineers and the security team, shaping cloud foundations and helping developers understand how the platform works; from Kubernetes through to core cloud concepts. The role balances building and evolving the platform with light-touch support, handling rare incidents, and focusing on making the platform more resilient for the future.

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

• Designing and building secure, scalable cloud infrastructure on GCP that supports our products as they grow
• Helping move legacy and on‑premise workloads into the cloud, and improving things along the way
• Automating how our infrastructure is built and managed using Terraform, so we can move faster and more reliably
• Running and evolving our container platforms using GKE and Helm
• Shaping how our cloud networking works, including load balancing, CDNs, API gateways, and service mesh
• Making sure our platforms are secure, resilient, and aligned with cloud security best practices
• Setting up and maintaining monitoring, logging, and observability so issues are easy to spot and fix
• Keeping an eye on performance and spend, and finding smart ways to optimise both
• Digging into complex infrastructure problems and working with others to resolve them

• Hands‑on experience working as a cloud infrastructure engineer, ideally with a strong focus on GCP
• Confidence using Infrastructure as Code, especially Terraform
• Experience building and running containerised workloads using Docker and Kubernetes (GKE)
• Exposure to service mesh technologies and how they support modern platforms
• A solid understanding of networking and how it all comes together in the cloud
• Experience using CI/CD pipelines (such as GitLab CI) to deploy and manage infrastructure
• Comfort working with at least one programming or scripting language in an infrastructure context
• Experience with secrets management, monitoring, logging, and observability tooling
• A good grasp of cloud security principles and compliance considerations
• Practical experience optimising cloud costs and using resources effectively

It’d be great if you also had (but it’s not essential):

• Experience with event‑driven or microservices architectures, such as Pub/Sub or Kafka
• Exposure to tuning or operating search or data platforms like Elasticsearch
• Familiarity with serverless concepts and when they make sense
• Experience improving infrastructure performance and reliability
• An understanding of AI/ML infrastructure needs on GCP
  

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

We’re seeking mid-level Product Designers to join our Experience Design (XD) team in the mobile app vertical

If your experience is primarily web-based, please check our careers page for our ‘Product Designer – Web' roles instead. 

The role:

• Help shape and deliver the product mobile app experience across iOS and Android. 

• Stay hands-on across discovery, interaction design and UI craft. 

• Apply and contribute to reusable patterns, components and design system evolution. 

• Use insights and research findings to validate solutions and drive direction. 

• Report to and work closely with the Lead Product Designer for Native Apps. 

• Hybrid – 2 days per week in the Soho, London office and 3 days from home. 

What you'll be doing:

• Collaborate with Product, Engineering and fellow designers to shape the mobile app experience. 

• Plan, run and analyse research to validate ideas and generate clear evidence. 

• Use insights and analytics to iterate solutions and influence decisions. 

• Produce user journeys, flows, wireframes and prototypes to bring ideas to life. 

• Design native interactions and patterns across the home-moving journey. 

• Partner with Content Design when shaping complex flows and messaging. 

• Consider tone, hierarchy and edge cases across the app experience. 

• Support accessibility and help others understand the value of inclusive design. 

• Apply and improve design system components and patterns. 

• Identify opportunities to improve patterns and share feedback with the design system team. 

• Work closely with Product on direction, risks and commercial awareness. 

• Contribute to improving workflows and design practices within the apps teams. 

• Share work early, participate in critiques and collaborate across disciplines. 

• Document your design thinking and decisions for delivery teams. 

What you'll bring to the role:

• A collaborative mindset and confidence working in cross-functional teams. 

• Strong communication skills and the ability to align stakeholders. 

• Curiosity and creativity, including exploring emerging tools and responsible use of AI. 

• Experience designing and shipping native app experiences end-to-end. 

• Strong understanding of iOS and Android design patterns, capabilities and constraints. 

• Ability to design complex journeys and multi-step interactions. 

• Experience using research, data and analytics to inform design decisions. 

• Ability to produce polished UI and prototypes that align with our design system. 

• Confidence navigating technical conversations and constraints. 

• Skill in balancing usability, commercial goals and technical feasibility. 

• Inclusive design awareness with attention to detail and quality.

The Role: Engineering Manager (Site Reliability)

Location: Reporting to: London / Hybrid (2 days per week in office)

Reporting to: Head of Technology Operations

The Role

The Platform and Reliability Engineering Teams are responsible for the services that underpin the Rightmove website and enable all of our product development teams to ship functionality rapidly and safely. We strive to deliver annual availability of at least 99.99% (less than 5 mins downtime a month).  

The Site Reliability Engineering Manager’s role is to ensure operational excellence, drive observability and reliability at scale, and own the incident management processes and tools. 

This position blends people leadership, full stack reliability engineering, service management, influencing without authority. The successful candidate brings strong technical experience in reliability engineering, monitoring, alerting and observability for product‑led technology companies combined with strong customer empathy and communication skills. 

Monitoring, Alerting, and Observability 

• Product teams have high reliability confidence, incident detection and resolution are smooth due to proactive monitoring, well‑maintained alerts/logs and high levels of observability coverage. 
• Clear reliability expectations between platform, security, product & business. Prioritisation based on reliability risk and real data.  

Incident Management 

• Consistency and standardisation of incident management resulting fast incident detection and resolution
• Maintaining a culture of accountability, transparency, collaboration & learning
• Good data quality, insights & decision‑making with strong feedback loops to all relevant stakeholders 

Reliability Engineering 

• Clear reliability patterns and standards drive strong reliability and fewer cascading failures. E.g. probes, graceful termination/degradation, timeouts, retries, backoff, jitter, circuit breakers, bulkheads. 
• Shared understanding how our system fails, where any weak points are with prioritised improvement plans in place. 

Delivery and Execution 

• Own and manage reliability roadmap and metrics, initiatives/projects, and OKR delivery in line with expectations.
• Align reliability strategy and delivery plans with business goals, partnering with technical product manager, DX, CF, DBA, security, product and data teams. 

People Leadership & Team Development 

• Supports team with objectives and growth plans to improve skills, confidence, and impact aligned with business objectives
• Guides engineers in designing scalable, secure, resilient platform services
• Create an inclusive, psychologically safe environment; tailor leadership to individual strengths and motivations. 

What you’ll bring  

• Proven experience in site reliability engineering management, overseeing observability, monitoring, reliability, and service delivery in production environments.
• Understanding of reliability in distributed software microservices and cloud-based environments.
• Experience implementing and running modern SRE tooling and incident management workflows, SRE service management frameworks e.g. SLO/SLIs.
• Familiarity with platform engineering concepts including developer platforms, reusable platform components, reducing friction for product teams.
• Experience improving operational processes and developing documented procedures (monitoring, DR, incident response, upgrade processes).
• Leadership, team management, collaboration and communication skills, aligned with expectations for managing technical/engineering teams.  

This is a remote role.

About Us
Reachdesk is the first truly end-to-end global SaaS gifting and swag platform, helping B2B companies create meaningful connections with prospects, customers, and employees, while driving measurable ROI.

We believe gifting is more than just a transaction: it’s about building genuine human connections that fuel business growth. Whether you’re engaging prospects, celebrating customers, or recognizing employees, our platform makes it easy to deliver personalized gifts, branded swag, and unforgettable event & brand experiences at scale through automated sourcing, storage, and global delivery.

We’re growing, and we’re currently looking for a Head of Business Systems & Operations to join us.

The Role

As the Head of Business Systems & Operations at Reachdesk, you will own and shape the systems and data architecture that underpin how the business operates. You will be responsible for connecting Finance, GTM, Product, and Customer teams through a single, trusted system landscape, ensuring data flows cleanly across Salesforce, NetSuite, Workato, and our BI layer. This is a high impact role where you will define how the business uses its systems, not just maintain them.

You will join at a critical stage as we complete our closed-loop architecture and transition ownership from product into the business. You will have full autonomy to design, govern, and evolve this ecosystem while embedding AI into core workflows and decision making. This role is particularly suited to someone who enjoys creating order from complexity: building a reliable, scalable foundation that the business trusts, enabling faster decisions, stronger financial control, and a step change in operational efficiency across Reachdesk.

Your Responsibilities

• Own the end-to-end systems and data architecture connecting Salesforce, NetSuite, Workato, the Reachdesk SaaS platform and the BI layer.
• Lead the transition of systems ownership into Business Operations and establish a clear operating model, governance framework, and roadmap that the business trusts and that can evolve as needs change, ensuring trusted, timely data flows across Finance, GTM, Product, and Customer teams.
• Lead from the front by setting technical direction from being in the systems alongside your team, not just reviewing their work. Define the go-forward BI architecture, ownership model, and roadmap.. 
• Complete and continuously evolve this architecture so every core process is underpinned by clean data and reliable automation.
• Establish an AI governance framework to embed AI into core workflows and decision-making, from forecasting and pipeline insights to customer health, billing, and operational automation, delivering measurable efficiency gains.
• Define and enforce master data management and integration standards across all systems.
• Partner closely with Finance, RevOps, Customer Operations, and Product to translate business priorities into scalable system solutions, balancing speed of delivery with long-term architectural integrity.
• Build, lead, and develop a small, high-performing team of systems and operations specialists, and manage external delivery partners where needed.
• Own vendor relationships, contracts, and roadmaps for our core SaaS stack, ensuring we get value, leverage, and influence over product direction, with a focus on finding efficiencies and cost savings.  
• Define and report on system health, data quality, and operational efficiency KPIs to the executive team and Board where relevant.

About You

You are a strategic systems leader with strong technical instincts and a pragmatic builder mentality. You see business systems as a competitive advantage, not a back-office function, and you are energized by the opportunity to shape the operating engine of a high-growth, PE-backed SaaS business. You understand the importance and value of data integrity and consistency, ensuring every department relies on the same core data and metrics. You are still in the system. You are as comfortable in a Salesforce flow, a NetSuite saved search, or a Workato recipe as you are in a strategy meeting. You believe leaders in this function lose their edge the moment they stop building, and you have no interest in becoming that person. You move comfortably between architecture decisions and detailed configuration, and you are equally at home in a conversation with the CFO, the CRO, or an engineer. You bring a hands-on operator mindset: you understand that great systems exist to make the business faster, sharper, and more accountable, and you measure your success by the decisions and outcomes they enable.

Must-have Qualifications

• 8+ years in Business Systems, RevOps, or BizTech leadership roles within B2B SaaS, with at least 3 years leading a function or team.
• Deep expertise across Salesforce and NetSuite, including a track record of designing and evolving the integration layer between them.
• Strong experience with iPaaS platforms (Workato strongly preferred) and modern BI tooling.
• Demonstrated ability to design and operate a closed-loop architecture, covering quote-to-cash, lead-to-revenue, and customer lifecycle, in a multi-entity, multi-currency environment.
• Demonstrably hands-on within the last 12 months and can speak in concrete detail about systems you have personally configured, automations you have built, or data models you have designed.
• Robust data governance and master data management discipline, with a clear point of view on ownership, lineage, and quality.
• Proven track record of leading complex, cross-functional systems programs end-to-end, on time and on budget.
• Excellent stakeholder management, particularly with Finance and GTM leadership, and the ability to translate technical decisions into commercial impact.
• People leadership experience with a coaching mindset, and the ability to build a small team that punches above its weight.

Preferred Qualifications

• Experience in a PE-backed, high-growth SaaS environment with tight financial control requirements.
• Familiarity with multi-stream revenue models (e.g. SaaS combined with services, marketplace, or fulfillment) and the revenue recognition complexity they bring.
• Experience embedding AI/ML or agentic automation into operational workflows, with named use cases, governance, adoption controls, and measurable business outcomes.
• NetSuite and/or Salesforce certifications.
• Experience transitioning systems ownership into a Business Operations function.
• Background working in a scaling SaaS business, comfortable operating across time zones and entities.

The Benefits

• Competitive salary with generous stock options
• 401(k) with employer match
• Medical, dental & vision insurance, including mental health support and fast access to care
• Flexible PTO that increases the longer you’re with us, plus extra flexibility for life’s unexpected moments
• A genuinely collaborative culture with innovative, fun, and ambitious people

Reachdesk believes that a diverse team helps us achieve our mission faster, and so we welcome applicants from all backgrounds. Compensation is based on standardised salary ranges by role, level, and location, benchmarked against similar-sized companies. Final offers are determined by a combination of experience, skills, and role fit, and may vary from the listed range.

Privacy Policy: We process personal information submitted as part of your application in accordance with the Reachdesk Candidate Privacy Notice. Please review Reachdesk’s Privacy Policy here: www.reachdesk.com/candidate-privacy-policy 

This is a remote role.

About Us
Reachdesk is the first truly end-to-end global SaaS gifting and swag platform, helping B2B companies create meaningful connections with prospects, customers, and employees, while driving measurable ROI.

We believe gifting is more than just a transaction: it’s about building genuine human connections that fuel business growth. Whether you’re engaging prospects, celebrating customers, or recognizing employees, our platform makes it easy to deliver personalized gifts, branded swag, and unforgettable event & brand experiences at scale through automated sourcing, storage, and global delivery.

We’re growing, and we’re currently looking for a Head of Business Systems & Operations to join us.

The Role

As the Head of Business Systems & Operations at Reachdesk, you will own and shape the systems and data architecture that underpin how the business operates. You will be responsible for connecting Finance, GTM, Product, and Customer teams through a single, trusted system landscape, ensuring data flows cleanly across Salesforce, NetSuite, Workato, and our BI layer. This is a high impact role where you will define how the business uses its systems, not just maintain them.

You will join at a critical stage as we complete our closed-loop architecture and transition ownership from product into the business. You will have full autonomy to design, govern, and evolve this ecosystem while embedding AI into core workflows and decision making. This role is particularly suited to someone who enjoys creating order from complexity: building a reliable, scalable foundation that the business trusts, enabling faster decisions, stronger financial control, and a step change in operational efficiency across Reachdesk.

Your Responsibilities

• Own the end-to-end systems and data architecture connecting Salesforce, NetSuite, Workato, the Reachdesk SaaS platform and the BI layer.
• Lead the transition of systems ownership into Business Operations and establish a clear operating model, governance framework, and roadmap that the business trusts and that can evolve as needs change, ensuring trusted, timely data flows across Finance, GTM, Product, and Customer teams.
• Lead from the front by setting technical direction from being in the systems alongside your team, not just reviewing their work. Define the go-forward BI architecture, ownership model, and roadmap.. 
• Complete and continuously evolve this architecture so every core process is underpinned by clean data and reliable automation.
• Establish an AI governance framework to embed AI into core workflows and decision-making, from forecasting and pipeline insights to customer health, billing, and operational automation, delivering measurable efficiency gains.
• Define and enforce master data management and integration standards across all systems.
• Partner closely with Finance, RevOps, Customer Operations, and Product to translate business priorities into scalable system solutions, balancing speed of delivery with long-term architectural integrity.
• Build, lead, and develop a small, high-performing team of systems and operations specialists, and manage external delivery partners where needed.
• Own vendor relationships, contracts, and roadmaps for our core SaaS stack, ensuring we get value, leverage, and influence over product direction, with a focus on finding efficiencies and cost savings.  
• Define and report on system health, data quality, and operational efficiency KPIs to the executive team and Board where relevant.

About You

You are a strategic systems leader with strong technical instincts and a pragmatic builder mentality. You see business systems as a competitive advantage, not a back-office function, and you are energized by the opportunity to shape the operating engine of a high-growth, PE-backed SaaS business. You understand the importance and value of data integrity and consistency, ensuring every department relies on the same core data and metrics. You are still in the system. You are as comfortable in a Salesforce flow, a NetSuite saved search, or a Workato recipe as you are in a strategy meeting. You believe leaders in this function lose their edge the moment they stop building, and you have no interest in becoming that person. You move comfortably between architecture decisions and detailed configuration, and you are equally at home in a conversation with the CFO, the CRO, or an engineer. You bring a hands-on operator mindset: you understand that great systems exist to make the business faster, sharper, and more accountable, and you measure your success by the decisions and outcomes they enable.

Must-have Qualifications

• 8+ years in Business Systems, RevOps, or BizTech leadership roles within B2B SaaS, with at least 3 years leading a function or team.
• Deep expertise across Salesforce and NetSuite, including a track record of designing and evolving the integration layer between them.
• Strong experience with iPaaS platforms (Workato strongly preferred) and modern BI tooling.
• Demonstrated ability to design and operate a closed-loop architecture, covering quote-to-cash, lead-to-revenue, and customer lifecycle, in a multi-entity, multi-currency environment.
• Demonstrably hands-on within the last 12 months and can speak in concrete detail about systems you have personally configured, automations you have built, or data models you have designed.
• Robust data governance and master data management discipline, with a clear point of view on ownership, lineage, and quality.
• Proven track record of leading complex, cross-functional systems programs end-to-end, on time and on budget.
• Excellent stakeholder management, particularly with Finance and GTM leadership, and the ability to translate technical decisions into commercial impact.
• People leadership experience with a coaching mindset, and the ability to build a small team that punches above its weight.

Preferred Qualifications

• Experience in a PE-backed, high-growth SaaS environment with tight financial control requirements.
• Familiarity with multi-stream revenue models (e.g. SaaS combined with services, marketplace, or fulfillment) and the revenue recognition complexity they bring.
• Experience embedding AI/ML or agentic automation into operational workflows, with named use cases, governance, adoption controls, and measurable business outcomes.
• NetSuite and/or Salesforce certifications.
• Experience transitioning systems ownership into a Business Operations function.
• Background working in a scaling SaaS business, comfortable operating across time zones and entities.

The Benefits

• Competitive salary with generous stock options
• Pension with employer contributions (NEST)
• Affordable Private Medical Insurance, including mental health support and fast access to care
• Flexible PTO that increases the longer you’re with us, plus extra flexibility for life’s unexpected moments
• A genuinely collaborative culture with innovative, fun, and ambitious people

Reachdesk believes that a diverse team helps us achieve our mission faster, and so we welcome applicants from all backgrounds.

Privacy Policy: We process personal information submitted as part of your application in accordance with the Reachdesk Candidate Privacy Notice. Please review Reachdesk’s Privacy Policy here: www.reachdesk.com/candidate-privacy-policy 

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

SharkNinja is seeking a self driven Cost Engineer to support both Shark and Ninja new product lines by developing accurate “should be” cost models throughout the product development process. At SharkNinja, we pride ourselves on delivering affordable innovation, ease of use, and a strong focus on the consumer experience.

In this role, you will work closely with the AD and NPD teams to understand product architecture, manufacturing methods, and component selection in order to define the lowest possible cost to produce a product. This is an exciting opportunity for someone who is curious about how products are made, enjoys problem solving, and is motivated by identifying cost optimisation opportunities without compromising performance or consumer value.

What You Will Do

Coordinate product details to generate early ballpark cost estimates during the AD phase.
Develop and maintain should be cost models that reflect the latest product definition throughout prototype builds.
Review CBOMs from suppliers to validate cost assumptions and identify opportunities.
Deliver reports and presentation summaries highlighting key cost drivers and opportunities.
Review should be costs for consistency and accuracy across projects.
Generate critical component lists and work with Supply Chain teams to support supplier quoting activities.
Provide recommendations to product teams on design approaches that support lower cost manufacturing.
Support competitive product teardowns to understand materials, components, assembly methods, and feature implementation.
Prepare weekly project updates and participate in regular collaboration calls with the China cost engineering team.
Participate in product reviews, technical discussions, and hack sessions.

What You Will Bring

Bachelor’s degree in Mechanical Engineering or Industrial Engineering.
Experience in an engineering related field, preferably within product development.
Strong understanding of mechanical engineering fundamentals.
Experience working with consumer products or other high volume manufacturing environments.
Strong analytical and organisational skills with excellent attention to detail.
A proactive mindset and strong drive to identify the lowest achievable product cost.
Advanced Microsoft Excel skills.
Basic knowledge of plastics and metal manufacturing processes.
Ability to work flexibly and collaboratively in a fast paced environment.
Knowledge of SolidWorks or Creo.
Strong presentation and communication skills, with the ability to deliver clear summaries, insights, and recommendations.

As a Product Design Engineer II, you’ll be part of our Ninja Advanced Development team, focused on shaping the future of our product portfolio through early-stage innovation and technology creation. Working from our London Design Office, you’ll collaborate with teams across the UK, US, and China to explore, define, and develop breakthrough concepts that will power the next generation of Ninja products.

You’ll combine creativity with engineering rigor, developing new technologies, architectures, and product experiences that push boundaries and unlock future opportunities.

What You’ll Be Doing

• Exploring and developing early-stage product concepts, technologies, and system architectures for future Ninja innovations.
• Translating consumer insights and emerging trends into tangible engineering solutions and demonstrators.
• Designing and building proof-of-concept prototypes to validate new ideas, mechanisms, and technologies.
• Conducting feasibility studies, risk assessments, and trade-off analyses to guide concept direction.
• Applying strong engineering fundamentals to evaluate performance, scalability, and potential for future commercialization.
• Iterating rapidly through hands-on prototyping, testing, and learning cycles.
• Collaborating with cross-functional teams to define product vision, technical roadmaps, and innovation pipelines.
• Communicating concepts and technical ideas clearly through CAD, prototypes, and presentations.
• Supporting the transition of promising concepts into New Product Development teams.
• Contributing to a culture of curiosity, experimentation, and continuous learning.

What You’ll Bring

• Degree in Product Design Engineering, Mechanical Engineering, or Industrial Design Engineering.
• Experience in mechanical or product design, ideally with exposure to early-stage or concept development work.
• Experience in consumer goods or household appliances is highly desirable.
• Strong understanding of plastics and manufacturing processes, with the ability to balance innovation and feasibility.
• Proven ability to solve ambiguous problems and explore multiple solution pathways.
• High proficiency in SolidWorks or Creo.
• Hands-on prototyping skills and a test-and-learn mindset.
• Strong communication skills, with the ability to articulate early-stage ideas and influence stakeholders.
• Curious, proactive, and comfortable working in less-defined spaces.
• An appreciation for electronics, software, or UX is beneficial, especially in concept development.

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 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.

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.

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.