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Principal AI Ops Architect, GPS

Scale AI · Doha, Qatar; London, UK

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GPS Engineering London, UK Posted May 8, 2026

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.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Machine Learning Engineer, Global Public Sector

Scale AI · Doha, Qatar; London, UK

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GPS Engineering London, UK Posted May 8, 2026

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.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Staff Full-Stack Software Engineer, (Forward Deployed), GPS

Scale AI · London, UK

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GPS Engineering London, UK Posted May 8, 2026

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.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Software Engineer, Enterprise

Scale AI · London, UK

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Enterprise Engineering London, UK Posted May 8, 2026

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Ready to apply?

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Senior Full-Stack Software Engineer, (Forward Deployed), GPS

Scale AI · London, UK

Apply now

GPS Engineering London, UK Posted May 8, 2026

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

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Applied AI Engineer, Enterprise

Scale AI · London, UK

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Enterprise Engineering London, UK Posted May 8, 2026

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
Have experience gathering business requirements and translating them into technical solutions
Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases
Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

Strong knowledge of software engineering best practices
Have built applications taking advantage of Generative AI in real, production use cases
Familiarity with state of the art LLMs and their strengths/weaknesses

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Senior Sales Engineer - London

Oasis Security · London, United Kingdom

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Sales London Posted May 8, 2026

About Oasis Security

At Oasis Security, we're redefining how enterprises manage access in the age of AI. Every organization deploying AI agents is taking on access risks they can't yet see, and the tools they've relied on were never built for this. We built Oasis to change that. Backed by Sequoia, Accel, and Craft Ventures, we're trusted by dozens of Fortune 500 companies including S&P Global, Mars, and Nationwide, and we're only getting started.

Why Oasis, why now

The access management category is being rewritten in real time, and Oasis is leading it. The problems are genuinely hard, the company is growing fast, and you're early enough to shape both the product and the team.

About the Position:

We seek a highly skilled and motivated Sales Engineer to join our growing team. As a Sales Engineer, you will drive our growth by partnering with our sales team and engaging prospective customers. You will be the technical expert responsible for understanding customer needs, demonstrating the value of our platform, and ensuring successful deployments. This role requires a unique blend of deep technical expertise, exceptional communication skills, and a passion for solving complex cybersecurity challenges. The ideal candidate will be a customer-focused, results-oriented individual with a strong understanding of cybersecurity, particularly in application security and identity management.

How You’ll Make an Impact:

Provide Technical Expertise:

Support the sales team with in-depth technical knowledge
Conduct product demonstrations and training sessions for clients

Engage with Customers:

Understand customer needs and develop tailored security solutions
Build and maintain strong client relationships

Support Sales Efforts:

Identify and qualify new sales opportunities
Prepare compelling technical proposals and presentations

Expand Product Knowledge:

Stay updated on the latest security products and industry trends
Share insights to enhance the team's knowledge and capabilities

Ensure Seamless Implementation:

Coordinate with the technical team for smooth solution deployment
Provide post-sales support and troubleshooting to ensure customer satisfaction.

Pre-Sales Activities: Lead technical pre-sales activities, including:

Engaging with customers to understand their technical requirements and challenges.
Delivering compelling product demonstrations and presentations tailored to customer needs.
Managing and executing POC engagements.
Effectively addressing technical objections and concerns.
Evangelizing our value proposition to key stakeholders.

Post-Sales Activities:

Ensure successful customer deployments and provide ongoing technical support.
Drive customer satisfaction and contribute to high renewal rates.

What makes you a good fit:

Technical Expertise:

Identity Management: Traditional IAM concepts (authentication, authorization, access control, User Directories), Identity Governance (Privileged Access Management, User Attestation).
Cloud Platform Expertise: Deep expertise in at least one central cloud platform (AWS, Azure, GCP) and its security services.
Cloud Security: Familiarity with cloud security best practices (CSPM, CASB, cloud infrastructure security).

Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred).
6+ years of experience in cybersecurity, with a significant portion in customer-facing roles like Sales Engineering.
Experience with SaaS solutions.

Why Join Oasis Security:

Competitive compensation and equity package.
Comprehensive health, dental, and vision insurance.
401K
Opportunity to work on cutting-edge technology and significantly impact the cybersecurity industry.
A dynamic and collaborative work environment with a strong focus on learning and growth.

If you are passionate about cybersecurity and want to make a difference in helping organizations protect their digital assets, we encourage you to apply for the Sales Engineer position at Oasis Security. Join us in our mission to empower businesses to thrive in a secure digital world. Apply now!

Equal opportunity

Oasis Security is an equal opportunity employer. We are committed to building a workforce that reflects the world we're securing. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, or disability status. Oasis Security does not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Oasis Security.

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Oasis Security

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Principal Software Engineer

Verifone · London, England, United Kingdom

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Global Engineering London Posted May 8, 2026

Why Verifone

For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of 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 the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution 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 platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for 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.

About The Role

We are seeking a Principal Software Engineer based in London to provide technical leadership across backend services supporting our global payment gateway system. You will design and evolve core platform capabilities, guide architectural decisions across microservices, and mentor engineers while remaining hands‑on with critical systems built using Java and Spring Boot.

This role sits at the heart of Verifone’s global payment gateway platform. You will help shape the technical direction of systems responsible for processing high‑volume, mission‑critical financial transactions worldwide.

At this level, the role goes beyond feature delivery. You will drive architectural decisions, set engineering standards, and influence how teams design, build, and operate secure, scalable backend systems. Success in this role is defined by technical leadership, sound judgment in complex trade‑offs, and ownership of systems that must perform reliably under real‑world load and regulatory constraints.

You will work closely with senior engineering, platform, product, and infrastructure partners to ensure our systems scale globally, remain secure, and meet the highest standards for availability and performance.

Required Skills and Experience Needed

Programming Languages

Java 17 or higher

Frameworks and Libraries

Spring Boot
Spring Web (REST APIs)
Spring Data
Spring Security with JWT / OAuth2

Architecture & System Design

Deep experience designing and operating microservice‑based architectures
Strong application of clean code practices and SOLID principles
Ownership of system‑level architecture and cross‑service design decisions
Strong understanding of security, authentication flows, and data protection in distributed systems

API & Data

Design and governance of RESTful APIs, JSON, and HTTP standards
API versioning and backward‑compatibility strategies
MongoDB / NoSQL expertise, including:
- Data modeling
- Indexing strategies
- Performance optimization
Advanced experience with Java concurrency, streams, and performance tuning

Cloud & Infrastructure

AWS services including EC2, ECS/EKS, S3, RDS and/or DynamoDB, and CloudWatch
Docker and containerized deployments
CI/CD pipelines and Git‑based workflows
Experience designing systems for scalability, resilience, and operability

Testing & Engineering Practices

Strong unit and integration testing practices using JUnit and Mockito
Ownership of quality standards, testability, and CI discipline
Experience working in Agile / Scrum environments and influencing engineering best practices

Experience Level

Principal‑level backend engineering experience building and operating large‑scale, high‑performance systems
Approximately 8+ years of backend development experience, with several years working on production Java and Spring Boot services
Proven experience owning architecture and technical direction for critical backend platforms
Extensive production experience with MongoDB, including modeling, indexing, and performance optimization

Bonus Skills and Experience

Payments & Domain Expertise

Background in fintech or payments
Experience with payment processing, transactions, and financial data
Strong understanding of high‑availability, security, and data‑consistency trade‑offs

Eventing & Distributed Systems

Experience with event‑driven architectures
Messaging or streaming technologies such as:
- Kafka
- AWS SQS
- Similar eventing systems

Platform & Technical Leadership

Deep experience with AWS, Docker, and CI/CD practices
Proven ability to mentor engineers and raise the technical bar across teams
Strong sense of ownership for systems running in production

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.

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Senior Software Engineer

Verifone · London, England, United Kingdom

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Global Engineering London Posted May 8, 2026

Why Verifone

For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of 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 the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution 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 platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for 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.

About The Role

We are seeking a London‑based Senior Software Engineer (Node.js / TypeScript) to build and operate backend services supporting payment, checkout, and transactional workflows. You will collaborate closely with Product, Frontend, Platform, and Infrastructure teams to deliver secure, scalable APIs in high‑throughput environments.

This role sits at the core of Verifone’s payments and checkout platform, where backend engineering directly impacts secure, high‑volume transactions used globally. You’ll design and operate scalable, production‑critical systems that must perform reliably under real‑world load, evolving payment methods, and strict security requirements.

Required Skills and Experience Needed

Programming Languages

TypeScript (version 3.x or higher)
Node.js (version 16 or higher)

Backend Frameworks & Libraries

Backend frameworks such as Hapi.js, or alternatives including Express, Fastify, or NestJS
Validation using Joi
Authentication and authorization using JWT and OAuth2

Architecture & Design

Strong grounding in Clean Architecture and Domain‑Driven Design (DDD)
Dependency Injection (e.g., InversifyJS)
Repository and modular design patterns
Experience building maintainable, testable backend systems

APIs & Data

Design and operation of RESTful APIs
API versioning and request validation
Advanced filtering using RSQL or equivalent
Experience with MongoDB (modeling, indexing, performance tuning)
Experience with Redis for caching or messaging
Database migrations and schema evolution

Cloud & Infrastructure

Hands‑on experience with AWS services such as EC2, S3, Secrets Manager, and CloudWatch
Docker and Docker Compose
Strong discipline with CI/CD pipelines and Git workflows

Testing & Quality

Automated testing using Jest or Mocha/Chai/Sinon
End‑to‑end testing with Cypress (optional)
Strong focus on code quality, reliability, and maintainability

Bonus Skills and Experience

Payments & Security

Experience integrating payment providers such as Stripe, PayPal, or Klarna
Knowledge of authorization, capture, and refund flows
Experience with 3D Secure
Awareness of PCI‑DSS requirements and security best practices
Understanding of checkout and transactional domain flows

Production Engineering

Performance optimization and debugging in production systems
Exposure to monitoring or APM tools (e.g., AppDynamics or similar)
Experience operating high‑availability or fault‑tolerant systems
Familiarity with fraud‑related considerations

Frontend & Platform Exposure

Experience working alongside frontend frameworks such as Angular or React
Familiarity with RxJS and state management (NgRx or Redux)
Server‑side rendering with Pug templates
HTML/CSS with SASS or PostCSS
Iframe‑based widget embedding

Additional Bonuses

Fintech, payments, or e‑commerce domain experience
Messaging systems such as Kafka, RabbitMQ, or Redis Pub/Sub
Internationalization (i18n) systems
Puppeteer for PDF or receipt generation

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.

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Security & Platform Engineer (Windows Infrastructure)

Qube Research & Technologies · London

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Technology-Infrastructure London Posted May 8, 2026

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

You will join the Windows Infrastructure team, responsible for building and operating Windows and end-user platforms with a strong focus on secure-by-design engineering across Azure, Microsoft 365, Intune, and Citrix VDI. You will work closely with Security stakeholders as the Windows and end-user platform security specialist.

Your Future Role within QRT

You will:

Design, optimise, and enhance a highly available, scalable, and secure Windows-based platform across Microsoft Azure, Microsoft 365, Intune, and Citrix VDI
Own and evolve the Citrix DaaS / Virtual Apps and Desktops platform, ensuring performance, availability, and security requirements are met
Drive standardisation and platform hardening across Windows 10/11, VDI images, and cloud-hosted workloads
Monitor and improve performance, reliability, and cost-effectiveness across Azure, Citrix, Microsoft 365, and Intune
Act as the primary security point of contact for Windows and end-user platforms, partnering closely with Security stakeholders
Embed secure-by-design principles into Windows, cloud, identity, and VDI platform engineering
Implement and maintain endpoint and identity security controls, including Intune security baselines/configuration profiles, Conditional Access, Entra ID security controls, and device compliance/posture enforcement
Implement Windows hardening standards using Group Policy, Intune, CIS/Microsoft security baselines, and privileged access controls
Partner on vulnerability remediation, secure configuration, endpoint/identity/VDI incident response support, and audit/compliance requirements
Ensure Windows Update, patching, and lifecycle management meet security and operational standards
Develop and maintain automation and infrastructure-as-code using PowerShell, Terraform, ARM templates, and related tooling
Automate build, configuration, compliance, and validation of Windows and Citrix platforms
Reduce manual operations through repeatable, secure, and auditable engineering practices
Provide senior-level troubleshooting across Windows, Azure, Citrix, identity, and endpoint platforms; act as an escalation point for complex issues
Produce and maintain technical documentation, architecture designs, and operational runbooks
Evaluate and recommend technologies and approaches to improve security, resilience, and scalability

Your Present Skillset

Strong foundations in security engineering, with practical experience applying security controls in Windows and cloud environments
Extensive experience with Microsoft Azure, Entra ID, Microsoft 365, Intune, and Windows 10/11 in an enterprise environment
Extensive experience with Citrix DaaS and Virtual Apps & Desktops
Strong background in Active Directory, Group Policy, DNS, and identity services
Experience with Autopilot and modern endpoint deployment strategies
Strong understanding of Windows patching, lifecycle management, and operational security
Hands-on experience with Conditional Access and identity protection, device compliance/posture management, and secure configuration/hardening standards
Advanced PowerShell scripting and automation skills
Experience with Terraform, ARM templates, and configuration management tooling (e.g., Ansible, MECM)
Experience with monitoring, alerting, and performance tuning across Azure and Windows platforms
Clear communication and effective collaboration across Infrastructure and Security stakeholders
Strong ownership mindset, balancing security, usability, and operational efficiency
Strong documentation and technical design skills

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

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Senior Identity and Access Management (IAM) Engineer

Qube Research & Technologies · London

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Technology-Security London Posted May 8, 2026

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

You will join the Security team, responsible for protecting systems, data, and access across the organisation. The team works closely with application owners, IT Engineering, HR, and Security stakeholders to design and operate secure, automated identity and access management processes across enterprise platforms.

Your Future Role within QRT

Identity Lifecycle Management
- Design, implement, and maintain automated processes for user provisioning, modification, and deprovisioning.
- Ensure alignment between identity lifecycle policies and organisational access control requirements.
- Integrate IAM solutions with HR systems, directories, cloud platforms, and enterprise applications.
- Drive automation to eliminate manual identity and access management processes.
Application Integration & Identity Engineering
- Design, develop, and maintain custom identity integrations, including SCIM 2.0 provisioning bridges.
- Build and maintain connectors between IAM platforms and enterprise applications (cloud and on premises).
- Engineer integration solutions for applications that do not natively support modern identity standards (SCIM, SAML, OIDC, REST APIs).
- Facilitate redesign or refactoring of legacy or non-integrated applications to enable automated lifecycle management.
- Develop middleware, APIs, or automation services to ensure secure identity data exchange.
- Contribute to application architecture discussions to ensure identity and access integration requirements are embedded by design.
- Troubleshoot and optimise identity integrations across the enterprise.
IAM Platform & Tooling Management
- Configure, maintain, and enhance IAM platforms (SailPoint ISC).
- Develop custom rules, workflows, connectors, and extensions within the IAM platform.
- Monitor platform performance and proactively resolve system issues.
- Collaborate with vendors and internal engineering teams to optimise IAM capabilities.
Security and Risk Management
- Support risk assessments related to identity governance and application access.
- Contribute to identity management policies, standards, and architectural guidelines.
- Respond to identity-related incidents and support root cause analysis.
- Ensure secure coding and integration practices are followed across identity engineering work.
Continuous Improvement & Innovation
- Stay informed on industry trends, identity standards, and emerging IAM technologies.
- Recommend enhancements to improve governance maturity and reduce operational overhead.
- Participate in cross-functional engineering initiatives to expand identity automation capabilities.
- Promote identity-as-code and infrastructure-as-code approaches where appropriate.

Your Present Skillset

Bachelor’s degree in computer science, Information Security, Software Engineering, or related field.
5+ years of experience in IAM Engineering or Application Integration Engineering.
Strong software engineering background with experience building production-grade integrations.
Hands-on experience with IAM platforms such as SailPoint (IIQ or ISC) or similar.
Proven experience developing SCIM 2.0 integrations and custom provisioning connectors.
Strong experience working with REST APIs, JSON, OAuth2, SAML, OIDC, and modern authentication protocols.Experience integrating identity solutions with cloud and on-prem enterprise applications.
Experience redesigning or enabling identity integration for non-integrated or legacy applications.
Strong scripting and automation skills (e.g., Python, PowerShell).
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Solid understanding of RBAC, ABAC, SSO, MFA, and directory services (AD/Azure AD).
Familiarity with security and compliance standards (ISO 27001, SOX, GDPR).
Excellent problem-solving, analytical, and communication skills.
Preferred
- Experience contributing to application codebases to enable identity integration.
- Experience building middleware or identity proxy services.
- Knowledge of containerisation (Docker/Kubernetes) and cloud-native integration patterns.
- Exposure to DevSecOps practices.
- Financial services industry experience.
- CISSP, CISM, or equivalent security certification.
- IAM-specific certifications (e.g., CIAM, SailPoint Certified Implementation Engineer).
- SailPoint certifications (IIQ or ISC).

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.

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Senior Product Security Engineer

Qube Research & Technologies · London

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Technology-Security London Posted May 8, 2026

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.

Your future role within QRT

QRT is hiring a Senior Product Security Engineer to protect diverse tech systems across cloud, business apps, and core infrastructure. In this role, you’ll drive automated security processes, influence architecture, and lead strategic security projects. Working closely with IT, cloud, and engineering teams, you'll implement security solutions for low-latency systems and multi-cloud platforms, including AWS, Azure, and Alibaba Cloud. You'll also secure hybrid infrastructures across Python, C++, and Kotlin/Java environments, ensuring robust protection that supports QRT’s high-speed, data-driven operations.

Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments.
Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment.
Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java.
Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle.
Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments.
Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards.
Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems.
Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment.

Your present skillset

At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale.
Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java.
Strong technical background in software development, system architecture and security tools.
Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage.
Experience working with and securing both Windows and Linux-based systems.
Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment.
In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment.
Experience integrating security scanning tools into CI/CD pipelines and runtime environments.
Experience conducting vendor security reviews and managing third-party security assessments.
Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position in a fast-paced environment.

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.

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Talent Acquisition - Technology

Qube Research & Technologies · London

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Central Function-TA/BD London Posted May 8, 2026

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.

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Trading Systems Reliability Engineer

Qube Research & Technologies · London

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Technology-SRE London Posted May 8, 2026

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.

Your future role within QRT

We are seeking pragmatic and commercially-oriented Reliability Engineers with strong C++ development skills to join our team. The ideal candidate will have a robust background in technology and a keen interest in solving business problems. This role is crucial for maintaining the reliability and performance of our systems, ensuring they meet the high standards required in the financial industry.

What you will do:

Design, implement, and maintain scalable and reliable systems
Monitor system performance and troubleshoot issues to ensure optimal operation
Collaborate with development teams to improve system reliability and performance
Develop and implement automation tools to streamline operations
Ensure security and compliance standards are met
Provide technical support and guidance to other teams

Requirements

Proven experience in site reliability engineering or a similar role
Strong understanding of system architecture and cloud technologies
Proficiency in C++ development, with additional knowledge of Python or C# being a plus.
Experience with monitoring and logging tools
Excellent problem-solving skills and attention to detail
Ability to work in a fast-paced, dynamic environment
Commercially oriented mindset with a focus on business outcomes
Experience working on the buy side is a significant positive.
Experience with low latency order entry or market data systems is highly desirable.
Prior experience in the finance industry is preferred but not required.

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.

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Windows Infrastructure Engineer

Qube Research & Technologies · London

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Technology-Infrastructure London Posted May 8, 2026

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in various liquid asset classes worldwide. The company uses a technology and data-driven approach to investing. By combining data, research, technology, and trading expertise, QRT adopts a collaborative mindset to address complex challenges. The company's culture of innovation aims to achieve high-quality returns for investors.

Your future role within QRT:

As a Windows Platform Server Engineer, you will be part of the Global Infrastructure Team, responsible for designing, building, and supporting Microsoft Windows Server and virtualization infrastructure. Your role is critical in ensuring the smooth operation of core technology services that underpin research technology, trading platforms, market execution, and data processing.

Responsibilities:

Evaluate, recommend, and implement new technologies to enhance reliability, scalability, and security.
Build, manage, and deploy all technologies related to the on-premises Windows Server stack, including OS, observability, backups, and identity services.
Configure and maintain monitoring and dashboarding tools to track server and application performance.
Build, manage, and deploy Windows Server environments (2022–2025).
Build, deploy, and monitor a globally distributed, multi-forest Active Directory environment.
Manage and configure tools such as Splunk,
Configure and manage Active Directory, Group Policy, and Entra ID integration to enforce security and access policies.
Automate server management using PowerShell, Ansible, and Terraform for provisioning, configuration, and maintenance.
Optimise and troubleshoot server backups to ensure data integrity and disaster recovery readiness.
Utilise SIEM tools to monitor and manage server security and performance.
Work with storage technologies (SAN/NAS) to ensure efficient integration and high availability.
Build manage and deploy VMware ESXi services, clustering, infrastructure and network concepts.
Develop and maintain technical documentation, architecture designs, and support materials.
Solid understanding of networking concepts
Support and optimise Citrix DaaS, Azure, Microsoft 365, and Intune environments.
Provide 2nd-line support and act as 3rd-line escalation for all Windows Server and application-related issues.
Provide cross-functional troubleshooting support when required.
Stay informed about market trends and emerging technologies to identify strategic improvement opportunities.

Your present skillset:

Extensive experience designing, deploying, and managing Windows Server environments, including large-scale enterprise migrations.
Strong expertise in Active Directory, Group Policy, and DNS design, implementation, and advanced troubleshooting.
Advanced PowerShell scripting skills for automation, OS builds, patching, and infrastructure optimisation.
Deep understanding of Windows Update processes, enterprise patch management, and security hardening best practices.
Experience with configuration management tools such as Ansible.
Experience with backup tools such as Veeam.
Experience managing cloud infrastructure, including AWS EC2 and Azure.
Strong troubleshooting expertise across Windows 10/11 client operating systems.
Solid cloud platform experience with Azure, Entra ID, Microsoft 365, and Intune.
Experience supporting and optimising Citrix DaaS / VDI environments.
Experience supporting and optimising ESXi environments.
Strong knowledge of networking concepts, certificate services (PKI), and infrastructure security.
Experience with performance monitoring and optimisation of Windows servers, desktops, and virtual machines.
Excellent communication skills with the ability to work independently, prioritise workloads, and contribute effectively to cross-functional projects

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.

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AWS Network Engineer

Qube Research & Technologies · London

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Technology-Cloud London Posted May 8, 2026

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The AWS Cloud Engineering Team provide a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity.

Your future role within QRT

We are seeking an experienced technologist to work within our AWS Cloud Engineering team to support the growth and maturation of our cloud network. The role is expected to involve the following activities:

Develop and manage our complex global AWS network architecture
Join a dynamic, fast-paced environment with extensive opportunity for personal growth
Use infrastructure-as-code to ensure scale and consistency of the environment
Use automated deployment to ensure that changes can be controlled in an appropriate manner
Explore and onboard new AWS services and features as part of continuous improvement of the AWS platform
Contribute to the ongoing improvement of our network governance and observability practices
Ensure that traffic is observable in a usable fashion
Develop strong, positive relationships with Security, IT and End User teams

Your present skillset

3+ years of experience in a cloud engineering role with a strong focus on AWS
Solid understanding of Networking fundamentals including IPv4 subnetting, TCP/IP, BGP, DNS, HTTP and DHCP
Good knowledge and experience of using AWS networking services to include: VPC, Transit Gateway, PrivateLink, Direct Connect and Route53
Demonstratable experience in using Infrastructure as Code and programming languages such as Terraform and Python
Ability to work independently to troubleshoot networking issues using AWS and/or 3rd Party tools
Demonstrable ability to communicate and collaborate effectively as part of a wider team
Desirable to have experience or a willingness to learn in the following areas:
- Newer AWS Technologies: CloudWan, Route53 Profiles, Lattice
- IP Address Management tooling such as AWS VPC IPAM or Infoblox
- Load Balancing: GWLB, ALB, NLB, API Gateway
- Security: Firewalls, Shield, WAF
- Open Source and Third Party technologies to complement AWS tooling
- Logging and Observability: Flow Logs, Cloudwatch, OpenSearch etc
- IPv6 architectures on AWS

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.

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Cloud Engineer - AWS Specialist

Qube Research & Technologies · London

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Trading-QDP London Posted May 8, 2026

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.

Your future role within QRT:

You will be part of a global team comprising Quantitative Traders, Researchers and Developers. Our AWS specialists are essential in building the next generation of research platforms, leveraging technologies like EKS, Lambda, SSM, IAM, Secrets Manager, RDS, DynamoDB, Redis, and CloudWatch.

• Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk.

• Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.

• Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis.

• Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping.

• Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives.

• Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team.

Your present skillset:

• 4+ years experience as a Cloud Architect or Engineer with a strong focus on AWS technologies.

• In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch and others.

• Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments.

• Strong understanding of cloud security practices, encryption, and governance.

• Familiarity with DevOps principles and automation tools (e.g.: Terraform).

• Experience with containerization (Docker, Kubernetes, etc.) and serverless architecture.

• Ability to troubleshoot complex cloud infrastructures.

• Excellent communication and collaboration skills, with the ability to work effectively across diverse technical and research teams.

• AWS certifications (Solutions Architect, DevOps Engineer, etc.) are a plus.

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.

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Cloud Engineer - Crypto

Qube Research & Technologies · London

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Technology-Cloud London Posted May 8, 2026

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

You will join the Cloud Infrastructure team in London. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions.

Your Future Role within QRT

Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
Drive the adoption of CI/CD practices to automate and streamline software delivery
Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
Work with developers to enhance application scalability, reliability and security in cloud environments
Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
Act as a liaison between engineering and business teams to facilitate effective communication and collaboration

Your Present Skillset

Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
Proficiency in scripting languages such as Python or Bash for automation
Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
Hands-on experience with distributed computing systems and processing large datasets
Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
Good understanding of Linux systems, including networking and performance optimisation
Familiarity with time synchronisation concepts and protocols such as NTP or PTP
Strong communication and collaboration skills, with the ability to work effectively across teams and departments

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.

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Database Engineer (ClickHouse)

Qube Research & Technologies · London

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Technology-Infrastructure London Posted May 8, 2026

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

You will join the Infrastructure Database team responsible for managing and optimising large-scale database systems supporting research and trading activities. The team works closely with Quantitative Researchers, Developers, and Data Engineers to ensure reliability, scalability, and performance of critical data infrastructure.

Your Future Role within QRT
You will:

Administer and maintain ClickHouse clusters in distributed environments
Configure and manage replication, sharding, and distributed table architectures
Operate and maintain ClickHouse Keeper or ZooKeeper
Manage data lifecycle processes including partitioning, TTL, and merge operations
Monitor database performance and troubleshoot issues in high-throughput environments
Optimise query performance through indexing strategies, partitioning, and projections
Manage system resources including CPU, memory, and disk I/O for database workloads
Design and implement high availability and disaster recovery solutions
Support database environments across production and non-production setups
Implement and maintain access control, roles, and security policies
Work with data ingestion pipelines including streaming and batch frameworks
Contribute to database reliability, observability, and scalability improvements

Your Present Skillset

5+ years of experience in database administration in production environments
Strong experience with ClickHouse in distributed or clustered setups
Solid understanding of replication, sharding, and distributed database architectures
Experience with ClickHouse Keeper or ZooKeeper
Strong knowledge of performance tuning, monitoring, and troubleshooting
Experience supporting high-ingestion and large-scale analytical workloads
Proficiency in SQL and database design principles
Experience with UNIX/Linux systems and system-level performance tuning
Knowledge of high availability and disaster recovery strategies
Familiarity with data ingestion frameworks such as Kafka or streaming pipelines
Experience with PostgreSQL or SQL Server
Strong attention to detail with a focus on testing and documentation
Ability to work effectively in a collaborative environment

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.

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Qube Research & Technologies

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EUC and AV Specialist

Qube Research & Technologies · London

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Technology-Infrastructure London Posted May 8, 2026

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

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

Your Present Skillset

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

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

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

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

Maintain and standardise AV room configurations across locations

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

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

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

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

Troubleshoot advanced endpoint, authentication, and collaboration connectivity issues

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

Implement monitoring and health checks for AV environments and endpoint devices

Standardise deployment templates for meeting rooms and endpoints to ensure consistency

Create documentation and runbooks to support operational processes and issue resolution

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

Support hardware lifecycle management from deployment to decommissioning

Work with external vendors on AV and endpoint solutions and deployments

Your Present Skillset

Experience supporting and engineering AV solutions, including Cisco collaboration technologies

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

Experience with Windows 10/11 endpoint management in enterprise environments

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

Experience with device provisioning using Autopilot

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

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

Familiarity with Surface Hub and Windows-based meeting room systems

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

Understanding of monitoring, alerting, and device health reporting

Ability to document processes and create operational runbooks

Experience managing hardware lifecycle and working with external vendors

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

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IAM Engineer – Privileged Access & Secrets Management

Qube Research & Technologies · London

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Technology-Security London Posted May 8, 2026

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

You will join the Identity and Access Management team, responsible for safeguarding QRT’s systems and data by managing authentication, authorization, and privileged access controls. The team works closely with infrastructure, application, and security specialists to enforce least privilege principles and maintain compliance with security standards.

Your Future Role within QRT

Privileged Access Management (PAM)
- Lead the deployment, configuration, and operation of PAM tools (e.g., CyberArk, BeyondTrust).
- Define and enforce policies for privileged account usage, session monitoring, and credential rotation.
- Collaborate with system owners to onboard privileged accounts and enforce least privilege principles.
- Monitor and audit privileged access activities, investigate anomalies, and support incident response.
- Maintain documentation and evidence for internal and external audits related to privileged access.
Secrets Management
- Implement and manage secrets management platforms (e.g., HashiCorp Vault, AWS Secrets Manager).
- Define secure storage, access, and rotation policies for application secrets, API keys, and credentials.
- Integrate secrets management tools with CI/CD pipelines, cloud platforms, and enterprise applications.
- Ensure secrets are managed in accordance with regulatory and internal security requirements.
Access Control & Directory Services
- Support role-based access control (RBAC) implementation across Active Directory and cloud environments.
- Remediate and maintain AD group structures to align with access policies.
- Collaborate with IT and application teams to enforce authentication and authorization standards.
Compliance & Governance
- Assist in periodic access reviews and privileged account certifications.
- Ensure PAM and secrets management practices align with ISO 27001, GDPR, and other regulatory frameworks.
- Contribute to audit readiness and provide evidence for compliance assessments.
Security Operations & Incident Support
- Respond to identity-related security incidents involving privileged accounts or secrets exposure.
- Monitor alerts and logs from PAM and secrets management platforms.
- Support forensic investigations and remediation efforts.
Continuous Improvement
- Stay current with developments in PAM and secrets management technologies.
- Recommend enhancements to access control strategies and tooling.
- Participate in IAM program initiatives and roadmap activities.

Your Present Skillset

5+ years of experience in identity and access management with focus on PAM and secrets management
Hands-on expertise with CyberArk, HashiCorp Vault, or similar platforms
Experience with cloud platforms (AWS, Azure) and their native IAM/secrets services
Strong understanding of RBAC, authentication protocols (SAML, OAuth), and directory services
Proficiency in scripting (e.g. PowerShell, Python) for automation and integration
Familiarity with compliance frameworks such as ISO 27001 and GDPR
Strong communication and documentation skills
Relevant certifications (CyberArk Defender, HashiCorp Vault Associate, CISSP, CISM) are an advantage

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.

Ready to apply?

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Platform Engineer

Qube Research & Technologies · London

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Technology-SRE London Posted May 8, 2026

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.

We are seeking a pragmatic and commercially-oriented Platform Engineer to join our team. The ideal candidate will have a strong background in technology and a keen interest in solving business problems. This role is crucial for maintaining the reliability and performance of our systems, ensuring they meet the high standards required in the financial industry.

Your future role within QRT

Design, implement, and maintain scalable and reliable systems
Monitor system performance and troubleshoot issues to ensure optimal operation
Collaborate with development teams to improve system reliability and performance
Develop and implement automation tools to streamline operations
Ensure security and compliance standards are met
Provide technical support and guidance to other teams

Your Present Skillset

Proven experience in platform engineering or a similar role
Strong understanding of system architecture and cloud technologies
Proficiency in programming languages such as Python, C++, or C#
Experience with monitoring and logging tools
Excellent problem-solving skills and attention to detail
Ability to work in a fast-paced, dynamic environment
Commercially oriented mindset with a focus on business outcomes
Prior experience in the finance industry is preferred but not required

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.

Ready to apply?

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Qube Research & Technologies

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Platform Engineer (Cloud)

Qube Research & Technologies · London

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Technology-Cloud London Posted May 8, 2026

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.

The AWS Cloud Platform Engineering team designs and operates cloud-native platforms that support internal development teams across the firm. The team focuses on building and evolving an Internal Developer Platform that enables secure, automated, and self-service cloud capabilities. You will collaborate with Cloud Engineering, Security, and cloud users to improve developer experience and platform reliability.

Your Future Role within QRT
You will:

Design, develop, and manage platform APIs to automate cloud workflows and enable self-service capabilities
Build backend services in Go and/or Python to support automated provisioning and platform functionality
Write and maintain automated tests to ensure safe and reliable execution of platform workflows
Contribute to platform observability, including logging, monitoring, and tracing
Build and operate services on Kubernetes (EKS)
Collaborate with Cloud Engineering, Security, and internal users to deliver scalable and secure platform capabilities
Contribute to architectural and technical decisions as the platform evolves

Your Present Skillset

5+ years of experience as a Platform Engineer or in a similar role with a focus on AWS
Strong programming skills in Python and/or Go, with experience writing production-grade code
Experience designing and developing RESTful APIs
Experience writing and maintaining automated tests
Experience with workflow or orchestration tools such as Temporal or AWS Step Functions
Experience building and operating services on Kubernetes (EKS)
Solid understanding of cloud architecture and distributed systems fundamentals
Experience with Infrastructure as Code tools such as Terraform
Familiarity with CI/CD pipelines and automation practices
Strong communication skills and ability to collaborate effectively 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.

Ready to apply?

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Qube Research & Technologies

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Product Security Engineer

Qube Research & Technologies · London

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Technology-Security London Posted May 8, 2026

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

You will join the Security team, working closely with Software Engineers and Infrastructure teams to embed security into the design, development, and operation of systems across cloud services, business applications, and core infrastructure.

Your Future Role within QRT

You will:

Support the implementation and operation of product security controls across cloud services, core infrastructure, and business applications on Windows and Linux platforms
Work with engineering teams to integrate security into system design and development, applying practical approaches suitable for fast-moving environments
Contribute to secure software development practices, including supporting security reviews across languages such as Python, C++, Rust, Go, and Kotlin/Java
Perform threat modelling, vulnerability assessments, and security code reviews with guidance from senior team members
Assist with integrating and operating security tooling (e.g., SAST, DAST, dependency scanning) within CI/CD pipelines and runtime environments
Identify security risks and contribute to remediation and mitigation plans with engineering teams
Perform vendor security reviews to assess third-party security practices against internal standards
Build your product security knowledge and share learnings with peers across engineering teams

Your Present Skillset

3–5 years of experience in product security, application security, software engineering, or a related role
Hands-on experience with secure coding practices and at least one of: Python, C++, Rust, Go, Kotlin/Java
Solid technical foundation in software development, system architecture, or infrastructure, with a strong interest in security
Working knowledge of security principles and common vulnerabilities affecting software, cloud platforms, and business applications
Experience securing Windows and/or Linux-based systems
Practical experience with at least one cloud platform (AWS or Microsoft Azure), ideally in hybrid environments
Familiarity with threat modelling, vulnerability management, and risk assessment concepts
Experience using or integrating security scanning tools into development workflows and/or CI/CD pipelines
Strong problem-solving skills, clear communication, and willingness to learn in a fast-paced environment
Exposure to low-latency or performance-sensitive systems
Experience in financial services and/or regulated environments
Interest in automation and security tooling development

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.

Ready to apply?

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Qube Research & Technologies

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Data Engineer

Rightmove Careers · London, UK

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D&A - Data Engineering London Office Posted May 8, 2026

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.

We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.

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

About Rightmove

Our vision is to give everyone the belief that they can make their move. We aim to make moving simpler by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen.

We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market.

Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:

We create value…by delivering results and building trust with partners and consumers.
We think bigger…by acting with curiosity and setting bold aspirations.
We care deeply…by being real, having fun, and valuing diversity.
We move together…by being one team - internally collaborative, externally competitive.
We make a difference…by focusing on delivering measurable impact.

We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!

If all of this has caught your eye, you may well be a Rightmover in the making......

People are the foundation of Rightmove - We’ll help you build a career on it.

What we offer

Cash plan for dental, optical and physio treatments.
Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
Contributory stakeholder pension.
Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
Competitive compensation package.
Paid leave for maternity, paternity, adoption & fertility.
Travel Loans, Bike to Work scheme, Rental Deposit Loan.
Charitable contributions through Payroll Giving and donation matching.
Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process.

As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.

At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.

Ready to apply?

Rightmove Careers

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Technical Product Manager (AI Enablement)

Rightmove Careers · London, UK

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Platform & Reliability Engineering - General London Office Posted May 8, 2026

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.

We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.

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.

About Rightmove

Our vision is to give everyone the belief that they can make their move. We aim to make moving simpler by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen.

We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market.

Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:

We create value…by delivering results and building trust with partners and consumers.
We think bigger…by acting with curiosity and setting bold aspirations.
We care deeply…by being real, having fun, and valuing diversity.
We move together…by being one team - internally collaborative, externally competitive.
We make a difference…by focusing on delivering measurable impact.

We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!

If all of this has caught your eye, you may well be a Rightmover in the making......

People are the foundation of Rightmove - We’ll help you build a career on it.

What we offer

Cash plan for dental, optical and physio treatments.
Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
Contributory stakeholder pension.
Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
Competitive compensation package.
Paid leave for maternity, paternity, adoption & fertility.
Travel Loans, Bike to Work scheme, Rental Deposit Loan.
Charitable contributions through Payroll Giving and donation matching.
Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process.

As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.

At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.

Ready to apply?

Rightmove Careers

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Platform Engineer (Cloud Foundations)

Rightmove Careers · London, UK

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Platform & Reliability Engineering - Cloud Foundations London Office Posted May 8, 2026

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.

We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.

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.

What you’ll be doing

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

What you’ll bring to this role

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.

About Rightmove

Our vision is to give everyone the belief that they can make their move. We aim to make moving simpler by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen.

We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market.

Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:

We create value…by delivering results and building trust with partners and consumers.
We think bigger…by acting with curiosity and setting bold aspirations.
We care deeply…by being real, having fun, and valuing diversity.
We move together…by being one team - internally collaborative, externally competitive.
We make a difference…by focusing on delivering measurable impact.

We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!

If all of this has caught your eye, you may well be a Rightmover in the making......

People are the foundation of Rightmove - We’ll help you build a career on it.

What we offer

Cash plan for dental, optical and physio treatments.
Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
Contributory stakeholder pension.
Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
Competitive compensation package.
Paid leave for maternity, paternity, adoption & fertility.
Travel Loans, Bike to Work scheme, Rental Deposit Loan.
Charitable contributions through Payroll Giving and donation matching.
Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process.

As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.

At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.

Ready to apply?

Rightmove Careers

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Engineering Manager (Site Reliability)

Rightmove Careers · London, UK

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Platform & Reliability Engineering - General London Office Posted May 8, 2026

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.

We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.

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.

About Rightmove

Our vision is to give everyone the belief that they can make their move. We aim to make moving simpler by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen.

We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market.

Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:

We create value…by delivering results and building trust with partners and consumers.
We think bigger…by acting with curiosity and setting bold aspirations.
We care deeply…by being real, having fun, and valuing diversity.
We move together…by being one team - internally collaborative, externally competitive.
We make a difference…by focusing on delivering measurable impact.

We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!

If all of this has caught your eye, you may well be a Rightmover in the making......

People are the foundation of Rightmove - We’ll help you build a career on it.

What we offer

Cash plan for dental, optical and physio treatments.
Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
Contributory stakeholder pension.
Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
Competitive compensation package.
Paid leave for maternity, paternity, adoption & fertility.
Travel Loans, Bike to Work scheme, Rental Deposit Loan.
Charitable contributions through Payroll Giving and donation matching.
Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process.

As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.

At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.

Ready to apply?

>> Click to view other open roles at Isomorphic Labs

Rightmove Careers

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Senior Security Engineer

Isomorphic Labs · London

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Software Engineering London Posted May 8, 2026

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

About Iso

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Your impact

As a Senior Security Engineer, you will architect and manage the security of our groundbreaking ML-based platform and High Performance Computing (HPC) infrastructure. This role requires a highly proactive problem-solver who enjoys a fast-paced environment and possesses the curiosity to dive into diverse technical challenges.

You will act as a versatile, T-shaped engineer, overseeing security solutions from initial requirement gathering to final implementation. By combining deep technical know-how with strong collaborative skills, you will ensure our security posture evolves as quickly as our research, managing the end-to-end lifecycle of our defense systems.

What you will do

Secure Architecture and Product Engineering: Participate in the design and perform security reviews of our evolving AI platforms and underlying HPC infrastructure.
Infrastructure as Code (IaC) Security: Partner with our DevOps / SRE team to harden our cloud infrastructure and our network, ensuring security by design, automation and auditability through Policy as Code.
Third Party Systems Secure Integration: Perform deep-dive technical assessments of third-party platforms, AI solutions, Cloud or SaaS providers and support secure integration or deployment.
Secure CI/CD: Design and implement automated security controls within our CI/CD pipelines to ensure code is secure from commit to production without slowing down research velocity.
Threat Modeling & Risk Assessment: Conduct proactive threat modeling and risk assessment, support teams in the implementation of remediation plan and audit expected outcomes.
Incident Response: Act as a L2/L3 escalation point for the remediation of complex vulnerabilities and security incidents.
Identity & Access Management: Implement our state-of-the-art Zero Trust framework, ensuring robust access control and consistent enforcement of the principle of least privilege.
Risk Management and Compliance Automation: Bridge the gap between technical controls and regulatory requirements (GDPR, GxP, EU AI Act) by automating evidence collection and risk posture monitoring (CSPM).
Security Tooling Development: Build or integrate custom internal tools that automate repetitive security tasks, shifting our operational load from manual toil to scalable engineering.
End-to-End Solution Delivery: Manage the full lifecycle of security controls, from initial user needs analysis and requirements gathering to structured testing and phased implementation and communication, ensuring high-quality deployment followed by data-driven continuous improvement.

Skills and qualifications

Essential

Cloud Engineering Proficiency: Deep technical knowledge of cloud platform security (GCP preferred) including Network and VPC design, IAM policy construction, Cloud resources hardening and Cloud native security services.
Analytical Risk Management and Problem Solving: Proficiency in assessing multi-faceted risks and decomposing complex security issues into manageable tasks and providing data-driven recommendations to stakeholders.
Coding Skills: Ability to write small production-grade code (e.g. in Python) and to automate security tasks, build custom tooling, etc.
DevSecOps Tooling: Hands-on experience with Infrastructure as Code (Terraform) and version control systems (GitHub) to manage security configurations.
Container Security: Proven ability to secure containerized workloads (Kubernetes/Docker), focusing on image signing, runtime protection, and orchestration security.
Network Security Fundamentals: Solid understanding of modern networking, including zero-trust architecture, encryption in transit (TLS/mTLS), and API gateway security.
Identities and Access Management: Proficiency in implementing a state of the art IAM strategy both from an organisational and technical standpoints in a multi-tenant cloud environment.
Collaborative Security Culture: Strong ability to support researchers in AI and Drug Discovery, leveraging excellent listening skills, to provide pragmatic advice that balances high-security requirements with business agility.
Adaptability & Communication: Excellent soft skills with the ability to navigate an ambiguous, high-growth environment and explain technical risks to non-security audiences.
Offensive Mindset: Strong understanding of the MITRE ATT&CK framework and the ability to think like an adversary to identify "blind spots" in our defense.

Nice to have

AI/ML Security Interest: Familiarity with the unique security challenges of an AI first company and other common AI solutions such as LLMs.
Regulated Industry Experience: Prior experience working in BioTech, Pharma where data integrity and regulatory compliance are paramount.
Advanced Security Certifications: Holding industry-recognized credentials such as GSE, OSCP, CISSP or professional-level Cloud Security Engineer certifications.
Application Security (AppSec): Experience with SAST/DAST/SCA tools and a strong understanding of the OWASP Top 10 vulnerabilities.
Zero Trust Implementation: Past success in transitioning an organization away from traditional perimeter-based security toward a mature Zero Trust model.
SecOps Maturity: Experience building or scaling a Security Operations Center (SOC) or a Modern Detection and Response (MDR) function.
Collaboration Tool Mastery: Advanced experience securing and automating SaaS. In particular, Google Workspace, the Atlassian stack (Jira/Confluence), Slack.
Bio-Pharma Experience: Prior exposure to GxP validation, clinical trial data protections, or the nuances of Lab-IT security.
Privacy Engineering: Knowledge of PETs (Privacy Enhancing Technologies) like differential privacy or homomorphic encryption.

Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.

Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.

Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.

Creating an extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Hybrid working

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Please note that when you submit an application, your data will be processed in line with our privacy policy.

Ready to apply?

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Channel Sales Engineer (Position located in London, United Kingdom)

KnowBe4 · London, United Kingdom

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Customer Support London, England, United Kingdom Posted May 8, 2026

KnowBe4 is the global leader in Human Risk Management, trusted by over 70,000 organizations worldwide to secure their employees and AI agents for over 15 years. We're pioneering a new era of security. AI-powered since 2016. And market-leading since day one.

Our HRM+ combines continuous risk intelligence, advanced technical defenses, and personalized training to help organizations build strong security cultures. We help organizations understand, measure, and reduce human risk across their entire workforce, defending against, deepfakes, and emerging AI-powered threats.

We believe that protecting organizations from cyberthreats and creating a positive environmental impact go hand in hand. True resilience is collective, it requires us to protect our people, our data, and our planet.

To learn more about our team and office culture in London, England (UK), visit the following links.
Careers Page: https://www.knowbe4.com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/uk/

The Channel Sales Engineer is a vital member of the Channel Sales team having primary responsibility for providing pre-sales technical support to prospective partners/clients for all KnowBe4 products as well as partners’ prospective customers. This position will help identify key customer requirements and position KnowBe4 products as they meet those applicable requirements. The position will also educate current partners on KnowBe4 products to enable them in supporting their clients. In addition, this position will collaborate directly with other business units such as technical support to address complex technical issues.

Responsibilities:

Communicate directly with prospective partners to gather details to fully define technical issues or customer requirements
Communicate with partners and their prospects to facilitate the sale of KnowBe4 products with a high focus on maintaining strong and collaborative partner relationships.
Help to create brand awareness for KnowBe4 products in the context of Reseller interests.
Establish relationships with partners, prospects and existing clients in support of Partner Program objectives while engaging and leveraging corporate resources, abilities, budgets and personnel as appropriate.
Address technical issues that are impeding the closing of sales opportunities.
Work alongside Channel Account Managers to implement and manage technical proof-of-values (POVs) for prospective partners/clients.
Act as primary technical contact for prospective partners/clients
Educate current partners on KnowBe4 products, with emphasis on tech enablement.
Investigate and document technical issues and communicate findings to development team or clients as required
Create, maintain, and facilitate use of test environments for qualified partners.
Assist Channel Account Managers in leveraging all available Sales Engineering resources according to policy and procedure.

Minimum Qualifications:

2 year degree or technical degree preferred
2 years of technical sales or sales engineering experience required.
Experience with Gmail and Google Docs
Experience with MS Office (Word and Excel)
Experience with web browsers (Chrome, Internet Explorer, etc.)
Excellent verbal and written communications
Highly organized and result-oriented
Excellent time management and organization skills
Can demonstrate technical troubleshooting and analysis ability
Can demonstrate integrity, accountability, respect and commitment
Strong collaborative and teamwork skills
Must be able to work with minimal supervision

Our Fantastic Benefits

We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.

Note: An applicant assessment and background check may be part of your hiring procedure.

Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.

No recruitment agencies, please.

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Senior Infrastructure Engineer

Schillings · Hybrid

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IT London/Hybrid Posted May 8, 2026

Schillings handles high stakes opportunities and threats for an international clientele: successful individuals, businesses and high-profile organisations across the world.

We support our clients to achieve their goals by developing winning strategies to protect their freedom to operate, and are the first port of call in a crisis, defending our clients from attacks on their reputations, privacy and security. Schillings’ offer is unique to the market, combining strategic communications with law, intelligence & investigations, digital resilience and security.

Schillings is a collaborative and welcoming place to work, with a positive culture, strong values and a developed service ethic. We require commitment, diligence, curiosity, agility and professionalism, and in return provide competitive packages, stimulating challenges and interesting work. We are committed to sharing learning and creating development opportunities so you can progress your career with us. Our people’s career trajectories and average longevity at Schillings underline this.

Join us and become part of our story.

Role Overview

We are seeking a Senior Infrastructure Engineer with expert-level knowledge across Microsoft 365, Azure, and related technologies. You will play a critical role in managing, supporting, and evolving Schillings’ infrastructure, ensuring our systems are secure, reliable, and aligned with organisational needs.

Working closely with the IT Director, you will act as a technical expert across core platforms including Intune, Entra ID, Exchange Online, Microsoft Teams, SharePoint Online, and Azure. You will also provide support for Meraki networking, and other business applications used across the firm.

This role is ideal for a hands-on engineer who enjoys end‑to‑end ownership, technical problem-solving, and contributing to strategic improvements.

Key Responsibilities

Infrastructure Management & Support

Own the day‑to‑day management of Schillings’ Microsoft 365 and Azure environments.

Administer, maintain, and optimise core M365 services:

Intune (device, app, and compliance management)

Entra ID (identity, conditional access, security posture)

Exchange Online

Microsoft Teams

SharePoint Online

CoPilot

Deliver 3rd line support for complex technical issues, acting as the escalation point for the wider IT function.

Oversee, manage, and respond to tickets, ensuring consistent service levels and timely resolution.

Build and maintain a documentation repository and knowledge hub.

Cloud, Security & Device Management

Manage Azure resources including VMs, networking, identity, automation, and monitoring.

Oversee device lifecycle management across Windows, IOS, and mobile endpoints via Intune and Apple Business Manager.

Networking & Infrastructure

Support and maintain Cisco Meraki networking (switching, firewalls, Wi‑Fi,).

AI, Copilot, and Automation Expertise

Strong working knowledge of Microsoft Copilot across M365, including configuration, governance, and user enablement.

Experience deploying, administering, and optimising Copilot for Microsoft 365 capabilities such as:

Copilot in Teams, Outlook, Word, Excel, and SharePoint

Security, data access, and permissions considerations for safe Copilot use

Monitoring usage, adoption, and effectiveness

Understanding of responsible AI practices, data governance, and least‑privilege access related to AI‑driven tools.

Ability to identify processes that can be improved or automated using Copilot, Power Automate, Azure AI services, or other low‑code tools.

Support the development and rollout of Power Platform solutions (Power Automate, Power Apps).

Identify opportunities to automate manual processes and improve efficiency.

Applications & Additional Platforms

Provide support for business applications including our DMS and PMS.

Assist with vendor management, system upgrades, and integration projects.

Mentoring & Team Development

Mentor, coach, and support colleagues to build skills, confidence, and capability.
Provide guidance on best practices, troubleshooting approaches, and effective use of tools.

Skills & Experience Required

Essential

Expert-level administration experience in:

Intune

Entra ID / Azure AD

Exchange Online

Teams

SharePoint Online

CoPilot

Strong Azure platform experience (VMs, networking, security, monitoring).

Solid experience with Cisco Meraki networking.

Proven experience in managing and prioritising support tickets.

Experience mentoring, guiding, or supervising junior technical staff.

Strong security awareness and identity-driven security understanding.

Excellent communication, documentation, and problem-solving skills.

Desirable

Power Platform knowledge (Power Apps, Power Automate).

Experience with iManage or similar business applications.

Previous work in legal, professional services, or consultancy environments.
Experience contributing to infrastructure transformation, cloud migration, or modernisation programmes.

Personal Attributes

A natural mentor and team player with strong leadership instincts.

Calm under pressure with excellent prioritisation skills.

Proactive, forward‑thinking, and committed to continuous improvement.

Strong sense of ownership and accountability.

Clear, confident communicator with excellent stakeholder engagement skills.

Life at Schillings

Given our bold and innovative business strategy, it is not surprising that Schillings has a very strong culture. The atmosphere is highly collaborative and focused on excellence. We have worked hard over the years to develop a coaching culture. Schillings has adopted a set of values to put at the heart of this and they reflect the intention and tenor of our ambitious plans. They are: ‘Innovative; Bold; United; and Excellent’. Our client list speaks for the outstanding results that have been delivered over many years and the task now is to grow without losing any of the commitment to delivering for clients or our service ethos. Finding people who share our values and can thrive in this environment is key to our success.

It takes a unique mix of people to create something truly great. We appreciate that diversity of thought, background and culture creates the best environment to truly innovate, solve problems and achieve our goals. We welcome candidates from all backgrounds – if you are driven and want to achieve your best then we will give you the platform and support to succeed.

Please let us know if there are any extenuating circumstances we should consider, or any adjustments we may need to make to our selection process, when making your application.

Find our candidate privacy notice here, Candidate Privacy Notice (schillingspartners.com)

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Senior Software Engineer (AppGlass)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

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Live Debugger Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain United Kingdom Posted May 8, 2026

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

Design, build, and lead the development of product features.
Develop tooling and automation for AI-first engineering workflows.
Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

Have extensive experience with Java, Kotlin, and JVM systems.
Have worked on enterprise backend software, infrastructure, or developer tooling.
Are comfortable with Kubernetes and cloud environments.
Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

Have experience with debugging, instrumentation, or observability-related tools.
Have experience with .NET or Python backend products.
Care deeply about developer productivity and engineering quality.

Why join JetBrains?

Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE
#LI-KT1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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JetBrains

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Crypto Security Engineer

Blockchain.com · London

Apply now

Engineering London Posted May 8, 2026

Blockchain is connecting the world to the future of finance. As the most trusted and fastest-growing global crypto company, it helps millions of people worldwide safely access cryptocurrency. Since its inception in 2011, Blockchain has earned the trust of over 90 million wallet holders and more than 40 million verified users, facilitating over $1 trillion in crypto transactions.

You’ll be the hands-on security engineer embedded with the Institutional Trading and Financial Operations (FinOps) team. Your focus is the secure operation of off-chain trading processes and infrastructure that empowers our institutional business: integrations, signing flows, key custody interfaces, middle-office workflows, order routing and settle pipelines that handle significant capital. You will support risk assessments, operating controls, automation to detect operational anomalies and remediation coordination. This is a high-visibility role where you will focus on operational security engineering - ensuring that the tools and processes our traders use are resilient against both external threats and internal errors. This role does not require smart-contract auditing.

WHAT YOU WILL DO

Partner with Trading, Middle Office and Quant (Institutional FinOps) teams to map out inventory trading systems, data flows, third-party integrations and custody/settlement touchpoints.
Conduct deep-dive assessments mapping critical assets and workflows to identify structural vulnerabilities. You will be responsible for defining the Target State and drafting the strategic Risk Treatment Plans (RTP) required to meet institutional-grade standards (e.g., CCSS, NIST, DORA).
Act as the primary security liaison for Senior Management and third-party vendors. You will translate complex technical gaps into actionable business risk summaries, drive vendor evaluations for core security infrastructure, and manage the project lifecycle for high-impact posture uplifts.
Implement and maintain monitoring for FinOps-specific security signals such as abnormal order patterns, signature misuse, unusual settlements. You will integrate these signals into our SIEM/SOAR for real-time response.
Support secrets and key-management hygiene. You will ensure app/service keys are stored in KMS/Vault, scoped to least privilege and rotated automatically to prevent credential leakage.
Assist product security in triage of SAST/SCA findings for FinOps-related repositories. You will help implement CI checks and remediation playbooks.
Participate in incident exercises, post-incident reviews and remediation tracking for trading incidents.
Document controls and produce concise risk summaries for FinOps leads and the Security.

WHAT YOU WILL NEED

5+ years in security engineering, platform security, or application security experience.
Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes.
Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules.
Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password, AWS/GCP KMS), IAM patterns and least-privilege.
Exceptional ability to translate "Technical Debt" into Business Risk for C-suite stakeholders (CFO, CTO, Head of Trading).
Ability to raise, read and audit Pull Requests in at least one language used in our stack (TypeScript, Java/Kotlin, Python).
Experience conducting technical due diligence and scoping for third-party security integrations.

NICE TO HAVE

Familiarity with trading systems or financial operations (market-making, execution, settlement) or close collaboration background with trading/quant teams.
Exposure to blockchain on-chain concepts (wallets, addresses, transactions) but no requirement to audit contracts.
Familiarity with SOC operations, and post-incident forensic analysis.
Familiarity with SOC2, ISO 27001, or financial audit requirements
Any relevant industry certification

COMPENSATION & PERKS

Full-time salary based on experience and meaningful equity in an industry-leading company
This is a role based in our London office, with a mandatory in-office presence four days per week.
Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.
ClassPass
Unlimited vacation policy; work hard and take time when you need it
Apple equipment
The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
Flexible work culture

Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time.

You may contact our Data Protection Officer by email at dpo@blockchain.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

Ready to apply?

Apply to Blockchain.com

Blockchain.com

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FR

Verification Engineer

Fractile · London

Apply now

Silicon The Crescent The Record Hall Posted May 8, 2026

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

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

As a Silicon Verification Engineer, you will be reporting to the Director of Frontend Silicon and will be based in either our Bristol or London office in the UK. We are looking for you to take an active role in building world-class ML/AI IC products for scale-out to data centre applications. We are looking for someone who is passionate about verification – not someone content to go through the motions, but rather looking to push the field further forwards. If you get excited about bringing software concepts to hardware workflows, and enjoy improving established practices to increase tape-out quality and bring down costs, then this is the role for you.

You’ll work closely with colleagues across modelling, system architecture, and RTL design to ensure our RTL releases meet the highest standards of functional quality. That includes contributing to discussions around specification, architecture, and the workflows that connect them. Your work will be integral to delivering our highly disruptive and ambitious product.

We look for engineers with the following mindset:

Software mindset for solving hardware problems
The desire to be in a high impact role in a small team
A disrupter of the “status quo” of hardware development
Eagerness to contribute to and improve working practices and help build connections between hardware and software teams
Detail-focused, with rigour as the baseline for all work
Humility, desire to learn
Happy to be part of a fast-paced, open and collaborative environment

Required skills and experience:

Strong software skills
- Python preferred, other languages acceptable
Understanding of digital hardware concepts
- Ability to read and debug RTL in SystemVerilog
- Familiarity with debugging waveforms

Desirable skills and experience:

Pre-silicon RTL verification
- Verification planning and execution from specification
- Building testbenches
- Stimulus creation
- Functional modelling of hardware blocks
- Checker creation
- Coverage definition/closure
Transaction-Level Modelling
- Whether in UVM, SystemC or another methodology
SystemVerilog Assertions (SVA)
Software fluency in multiple languages
Open source tools for silicon development
- Cocotb (used for all our testbench collateral), Verilator, Icarus Verilog
Commercial EDA tools
Formal verification
Working in a monorepo environment alongside software
- Bazel is our chosen tool, familiarity is not expected
Contributing to architecture discussions

How we work

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

About us

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

Export control and security clearance

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

Ready to apply?

FR

Fractile

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FR

Senior Verification Engineer

Fractile · London

Apply now

Silicon The Crescent The Record Hall Posted May 8, 2026

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

As a Silicon Verification Engineer, you will be reporting to the Director of Frontend Silicon, and will be based in either our Bristol or London office in the UK. We are looking for you to take an active role in building world-class ML/AI IC products for scale-out to data centre applications. You will be ambitious and have a proven track record in working in high-performance delivery organisations in the discipline of pre-silicon RTL verification.

We are looking for someone who is passionate about verification – not someone content to go through the motions, but rather looking to push the field further forwards. If you get excited about bringing software concepts to hardware workflows, and enjoy improving established practices to increase tape-out quality and bring down costs, then this is the role for you.

Our preferred candidate will be comfortable working alongside colleagues across the organisation from disciplines such as modelling, system architecture and RTL design. You’ll be frequently collaborating to ensure our RTL releases are of the highest functional quality, and that the entire company shares the same definition of a functionally correct product. This means contributing to discussions around specification, architecture and the workflows surrounding them. You’ll be a key contributor to our highly disruptive and ambitious product.

We look for engineers with the following mindset:

Software mindset for solving hardware problems
The desire to be in a high impact role in a small team
A disrupter of the “status quo” of hardware development
Eagerness to contribute to and improve working practices and help build connections between hardware and software teams
Detail-focused, with rigour as the baseline for all work
Humility, desire to learn
Happy to be part of a fast-paced, open and collaborative environment

Required skills and experience:

Pre-silicon RTL verification
- Verification planning and execution from specification
- Building testbenches
- Stimulus creation
- Functional modelling of hardware blocks
- Checker creation
- Coverage definition/closure
Strong software skills
- Python preferred, other languages acceptable
Understanding of digital hardware concepts
- Ability to read and debug RTL in SystemVerilog
- Familiarity with debugging waveforms

Desirable skills and experience:

Transaction-Level Modelling
- Whether in UVM, SystemC or another methodology
SystemVerilog Assertions (SVA)
Software fluency in multiple languages
Open source tools for silicon development
- Cocotb (used for all our testbench collateral), Verilator, Icarus Verilog
Commercial EDA tools
Formal verification
Working in a monorepo environment alongside software
- Bazel is our chosen tool, familiarity is not expected
Contributing to architecture discussions

How we work

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

About us

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

Export control and security clearance

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

Ready to apply?

FR

Fractile

View all jobs →

FR

Senior Systems Software Engineer

Fractile · London

Apply now

Software The Crescent The Record Hall Posted May 8, 2026

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

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

We build the control chain that powers on, monitors, updates, and protects devices and racks across bare metal, RTOS, and embedded Linux. It’s production-critical software that keeps racks stable, updates safe, and hardware secure. It’s a critical layer in turning a tokens per second benchmark into a tokens per month system, turning great silicon into reliable output at rack scale.

You’ll be there for the first racks coming to life and rollout days where update safety matters. Your work makes the difference between a bad failure and a clean recovery path. This is the work that makes the system something operators can trust.

What you’ll do

Develop firmware and services for management controllers at every level: rack management, BMC, and board/device controllers (RTOS and bare metal)
Build systems software for board and rack management, from early bring-up through to production deployment
Implement the critical flows that keep fleets healthy: power-on and provisioning, monitoring/telemetry, updates, recovery, and security
Integrate with the wider host/device stack (drivers and runtime libraries) so the system works end-to-end
Work closely with hardware and device software teams to define reliable interfaces, validate behaviour, and debug boundary issues

What we’re looking for

Proven experience shipping production-critical, reliable embedded systems across two or more of: bare metal, RTOS, embedded Linux (or deep expertise in one with clear ability to ramp the others)
Strong C and/or Rust, and excellent engineering judgement around safety, testing, debugging, and failure modes
A reliability-first mindset: you design for observability, diagnosability, and recovery paths that are predictable and testable
Comfortable working close to the hardware/software boundary (bootloaders/BSP/kernel-adjacent work) and collaborating tightly with HW, driver, and runtime teams
Collaborative and high-ownership. You communicate clearly, move fast, and enjoy working through hard problems with others
Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

Embedded platform / systems firmware experience (board management, BMC-style stacks, rack controllers)
OpenBMC experience and/or embedded Linux image build/customisation experience
Zephyr (or similar RTOS) experience
Security-minded, with practical instincts around secure boot, signed updates, device identity, and designing systems that fail safe and recover cleanly (direct experience in some areas is a plus)
Kernel device work (drivers, device tree, bring-up, perf/trace)
Hardware bring-up experience, including lab tools (logic analysers, oscilloscopes, waveform viewers)
RISC-V familiarity
Experience with GPUs or ML accelerators

If you want to build the control software that keeps rack-scale systems stable, safe, and secure for next-gen AI, come build it together.

Ready to apply?

FR

Fractile

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FR

Senior Rust Software Engineer

Fractile · London

Apply now

Software The Crescent The Record Hall Posted May 8, 2026

At Fractile, we believe that we are building the worlds fastest and most energy efficient AI inference chip from the ground up. Half the company is dedicated to hardware design and the other half to software. Our team works hand in hand with the hardware engineers to extract every last drop of performance from the architecture, and we are building a world class interdisciplinary team to make that happen.

About the role:

We are creating a new team of Rust engineers to work on greenfield software with members having scope to influence architecture, direction and engineering practices from day one.

In this role, you will:

Write Rust server side software to build a reference implementation of a full AI inference stack specifically tuned to take advantage of the hardware we are building, including a Linux kernel driver in Rust. The hardware will be housed in data centres so the remit of work includes building out all the required cloud based tooling as well.
You will be expected to conduct your own research into the state of the art in AI inference and implement these ideas. You will be encouraged to take initiative and make sense of difficult problems in unfamiliar areas.

What we are looking for:

We are looking for creative problem solvers and generalists who have the grit to tackle hard problems.
Experience in serving AI workloads (for example vLLM, SGLang or Rust equivalents) or strong systems level engineering experience. If you don’t have AI experience then experience in a wide range of complimentary industries would also be beneficial. Specifically experience moving large amounts of data around in real time at low latency, paging, caching etc.
We will consider candidates without commercial Rust experience as long as they are strong senior developers in another systems language (e.g. C/C++ etc.) and can demonstrate proficiency in Rust through open source contributions and/or personal projects.

If you have a portfolio of Rust projects that you have authored and can share then this will help in the selection process.

We will not subject you to online algorithmic-style testing but any interview will be very technical and you will be expected to have a background in computer science and a deep understanding of Rust. In particular, your ability to read unfamiliar code, understand it and point out problem areas is important to us.

Languages:

Rust, C, C++ and Python

About us:

Founded in 2022, team of 70+ which is expanding rapidly
Modern, open offices in London and Bristol
Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency
Fractile offers hybrid working. You will be able to work in either our London or Bristol office three days per week and for from home for the remaining two days.

Export control and security clearance:

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

Ready to apply?

FR

Fractile

View all jobs →

FR

Senior Logical Design Engineer

Fractile · London

Apply now

Silicon The Record Hall Posted May 8, 2026

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

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

RTL Development and Implementation:

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

Cross-Functional Collaboration:

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

Documentation and Standards Compliance:

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

Qualifications and Skills:

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

Experience:

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

Soft Skills:

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

How we work

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

About us

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

Export control and security clearance

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

Ready to apply?

FR

Fractile

View all jobs →

FR

Logical Design Engineer

Fractile · London

Apply now

Silicon The Crescent The Record Hall Posted May 8, 2026

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

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

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

RTL Development and Implementation:

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

Cross-Functional Collaboration:

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

Documentation and Standards Compliance:

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

Qualifications and Skills:

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

Experience:

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

Soft Skills:

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

About us

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

Export control and security clearance

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

Ready to apply?