senior software engineer

ai engineer

data engineer

software engineer

full stack engineer

distributed systems engineer

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Backend Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $85/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex engineering tasks.
 </li>
 <li>
 Review model-generated code for correctness, quality, maintainability, and performance.
 </li>
 <li>
 Identify bugs, edge cases, and failure modes in model outputs.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic backend engineering scenarios.
 </li>
 <li>
 Work independently and asynchronously to meet deadlines while improving AI model performance.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional backend engineering experience.
 </li>
 <li>
 Experience building APIs, distributed systems, microservices, backend platforms, or databases.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience working on large-scale production systems.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 $400 per accepted task.
 </li>
 <li>
 Typical tasks take approximately 1&ndash;3 hours after ramp-up.
 </li>
 <li>
 No fixed task limits.
 </li>
 <li>
 Compensation is tied to accepted work.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Backend Developer - Fully Remote | Upto $85/hr

Reflection

<div>
 
 Our Mission
 
 
 
 Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
 
 
 
 The Roles Mission
 
 
 
 Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems. You will design and optimize the core infrastructure behind frontier AI models &mdash; from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.
 
 
 Our systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.
 
 
 
 What This Team Does
 
 
 
 This team owns and evolves the core infrastructure behind our training systems.
 
 
 
 We Focus On
 
 
 
 <ul>
 <li>
 Reinforcement learning training infrastructure
 </li>
 <li>
 Distributed training and inference systems
 </li>
 <li>
 Experiment infrastructure and reproducibility
 </li>
 <li>
 Large-scale data pipelines
 
 
 </li>
 </ul>
 The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.
 
 
 
 About The Role
 
 
 
 You will architect and optimize the core training infrastructure that powers our models. This includes RL training loops, distributed GPU systems, and large-scale data pipelines.
 
 
 You will work closely with researchers to transform new ideas into reliable, scalable training systems.
 
 
 
 Responsibilities Include
 
 
 
 <ul>
 <li>
 Designing and optimizing large-scale training loops and data pipelines.
 </li>
 <li>
 Implementing state-of-the-art techniques and ensuring they are numerically stable and computationally efficient.
 </li>
 <li>
 Building internal tooling for launching, monitoring, and reproducing complex experiments.
 </li>
 <li>
 Diagnosing deep bottlenecks across the training stack (GPU memory issues, communication overhead, dataloader stalls).
 </li>
 <li>
 Translating research prototypes into reusable, production-grade infrastructure.
 
 
 </li>
 </ul>
 
 What You'll Work With
 
 
 
 
 Distributed Training
 
 
 
 <ul>
 <li>
 GPU parallelism (data, tensor, pipeline, expert)
 </li>
 <li>
 Large-scale distributed training infrastructure
 </li>
 <li>
 Communication optimization (NCCL, RDMA, GPU interconnects)
 </li>
 <li>
 FSDP / ZeRO and model sharding
 
 
 </li>
 </ul>
 Orchestration &amp; Runtime Systems
 
 
 <ul>
 <li>
 Ray, Kubernetes, Slurm
 </li>
 <li>
 Distributed runtimes and async systems
 </li>
 <li>
 Containerization and sandboxing
 
 
 </li>
 </ul>
 Frameworks
 
 
 <ul>
 <li>
 PyTorch
 </li>
 <li>
 JAX
 </li>
 <li>
 Megatron-style training stacks
 </li>
 <li>
 Triton / custom kernels
 
 
 </li>
 </ul>
 Data Infrastructure
 
 
 <ul>
 <li>
 Large-scale dataset curation pipelines
 </li>
 <li>
 Deduplication and filtering systems
 </li>
 <li>
 Tokenization and preprocessing
 </li>
 <li>
 Distributed data processing frameworks
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 You are a strong software engineer who speaks the language of machine learning.
 </li>
 <li>
 You may not have a PhD, but you know how to implement a research paper.
 </li>
 <li>
 You have deep experience in at least one of the following: Distributed Training &amp; Inference or Data Infrastructure
 </li>
 <li>
 You enjoy working at the boundary between:
 </li>
 <ul>
 <li>
 Machine learning algorithms
 </li>
 <li>
 Distributed systems
 </li>
 <li>
 High-performance computing
 </li>
 </ul>
 <li>
 You care deeply about performance, numerical stability, and reproducibility.
 </li>
 <li>
 You thrive in high-agency environments and enjoy solving hard technical problems.
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
 
 
 We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
 
 
 <ul>
 <li>
 Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
 </li>
 <li>
 Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
 </li>
 <li>
 Health &amp; wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
 </li>
 <li>
 Meals: Lunch and dinner are provided in the office daily.
 </li>
 <li>
 Life &amp; family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
 </li>
 <li>
 Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
 </li>
 <li>
 Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
 </li>
 <li>
 Team building: We have regular off-sites, happy hours, and team celebrations.
 
 
 </li>
 </ul>
</div>

Member of Technical Staff - Research Software Engineer

Harmonic Security

<div>AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user / agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk.
We operate in one of the fastest-moving spaces in tech: the emerging intersection of AI and cybersecurity. It's a market still being defined, and we're among the first to build natively for it - protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down.
Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and serious traction. We're led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In-Q-Tel.
As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn't a nice-to-have. It's mission-critical infrastructure. That's what we build.<h2 class="jobSectionHeader">
How We Work: AI-First by Design</h2>
Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work &mdash; from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity.
For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive.<h2 class="jobSectionHeader">
About the Team</h2>
Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We&rsquo;re a small but mighty crew where every person plays a critical role and we&rsquo;re committed to using AI to work smarter and faster.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands-on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Own deliveries and features from start to finish</li><li>
Design, build, and own backend services in a microservices-based, event-driven architecture</li><li>
Implement core domain logic that drives key product workflows and system behavior</li><li>
Ingest and process high-volume usage and event data from customer-facing endpoints</li><li>
Build backend services that support operational, analytics, and reporting use cases</li><li>
Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management</li><li>
Expose well-designed APIs and webhooks consumed by customers, UIs, and external systems</li><li>
Power customer-facing UI experiences by providing backend APIs for visibility, analytics, and configuration</li></ul><h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
3&ndash;5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle)</li><li>
Strong understanding of event-driven architectures, asynchronous processing patterns, messaging systems, and distributed system design</li><li>
Proven experience designing and maintaining RESTful APIs, web hooks, and service-to-service integrations</li><li>
Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms</li><li>
A track record of delivering performant, reliable and scalable applications</li><li>
Excellent collaboration and communication skills in cross-functional teams</li></ul><h2 class="jobSectionHeader">
You Might Be a Fit if You</h2><ul><li>
Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments</li><li>
You understand not just how to build systems, but why architectural decisions matter</li><li>
You can balance scalability, reliability, maintainability, and speed of execution</li><li>
You think critically about security, observability, and operational excellence from day one</li><li>
Love the idea of blending software development, distributed systems and data-intensive applications</li><li>
Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers</li><li>
Thrive in fast-paced startup environments where ambiguity is the norm</li><li>
Enjoy shaping culture and engineering practices, not just writing code</li><li>
Leverage AI tools as an engineer to help you build smarter, faster and better</li></ul><h2 class="jobSectionHeader">
Why Join Us</h2>
This isn't just a job - it's a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we're just getting started. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them.
We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life.<ul><li>
Recognized momentum - We made the Rising in Cyber 2026 list, a signal that the market is taking notice</li><li>
Rare market opportunity - Join early in a category-defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech</li><li>
Competitive pay and meaningful equity - A real stake in Harmonic's success, not a token gesture</li><li>
Comprehensive benefits - 401K, pension plan, generous PTO, and flexible hybrid work</li><li>
A small, high-trust team that values transparency, creativity, and continuous learning - no politics, no bureaucracy</li><li>
Thoughtful leadership - that cares deeply about your growth, not just your output</li><li>
Annual global off-sites - past trips include Lisbon, Portugal and Nashville, TN</li><li>
Real ownership - you'll shape the product, the culture, and the direction of the company from day one</li></ul><h2 class="jobSectionHeader">
Harmonic's Core Values</h2>
Flourish in the Unknown
We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance.
Never Full
We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more.
Perfect Harmony
We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work
Compensation Range: &pound;89K - &pound;105K</div>

Senior Backend Engineer

Zoopla

<div>Who We Are
Zoopla is one of the UK&rsquo;s most instantly recognisable property brands. In fact, we&rsquo;re known and loved by over 91% of the nation (and we&rsquo;re working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing. Over 50 million people visit Zoopla every month to access exclusive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals.
We&rsquo;re a growing, dynamic team that embraces innovation and isn&rsquo;t afraid to push the boundaries. We&rsquo;re only just starting our journey to redefine the digital property landscape, with much more to explore and achieve. Join us, and transform the way the nation makes home decisions.
What You'll Do
At Zoopla you will design and run the search and retrieval systems behind the consumer portal, serving millions of users. Search relevance, ranking, and the services and data pipelines that feed them sit at the centre of this role. If you care about robust APIs, fast and relevant search, scalable distributed services, observability, and personalisation, this is for you.
You will work primarily in Python and TypeScript across Node.js and GraphQL, with some services in Golang or Perl. You will own search infrastructure end to end on OpenSearch (or Elasticsearch): indexing, query design, relevance tuning, and performance at scale. You will design and maintain the APIs and data pipelines that power it, working across both SQL and NoSQL stores on AWS.
This is a backend role. You will touch the frontend (React and TypeScript) occasionally when a feature needs it, but deep frontend specialism is not expected.
Requirements (all essential)<ul><li>
Senior engineer who has built and operated high scale systems serving millions of users, and who can point to the trade offs they made to get there.</li><li>
Production experience with OpenSearch or Elasticsearch: indexing strategy, query and relevance tuning, and keeping clusters healthy under load.</li><li>
Strong distributed systems and systems design skills, with the ability to reason about consistency, latency, failure modes, and scale.</li><li>
Hands on AWS experience running services in production.</li><li>
Fluency in backend development with Python and TypeScript, designing and building APIs and services across SQL and NoSQL stores.</li><li>
A genuine passion for shipping product features with a high level of autonomy and agency, taking an idea from problem to production with minimal hand holding.</li><li>
Excellent communication skills and a track record of working closely with Product and Design to turn ambiguous goals into shipped features.</li></ul>
Also valued<ul><li>
Solid engineering craft: maintainable code, code review, pairing when it helps, and meaningful tests.</li><li>
Building for stability, security, observability, and performance, not just the happy path.</li><li>
A commercial mindset that connects your work to business outcomes.</li><li>
You use AI tools as a core part of how you build, from coding assistants to AI driven workflows, and you have a strong sense of where they speed you up and where they need checking.</li></ul>
Where you&rsquo;ll be
At Zoopla, we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third day in-office day of your choosing.
Our home in Tower Bridge is a buzzing hub for collaborative and individual working, with areas to socialise and exercise - within easy reach of London Bridge, Tower Hill and Bermondsey stations. On our doorstep there are plenty of great food spots including a new indoor street food market and landscaped areas to sit by the riverside. 
Benefits 
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Senior Backend Engineer (Search)

CrowdStrike

<div>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. 
About the Role:
Does building systems that help security analysts close a critical incident before it becomes a breach excite you? Does correlating and analyzing data at trillions-of-events-per-day scale sound like the kind of challenge you want to wake up to? Do you care deeply about cybersecurity and want to play an active role in helping organizations defend themselves from sophisticated cyberattacks? We'd love to meet you.
We are seeking a Senior Software Engineer, Cloud to join our Threat Detection and Incident Response (TDIR) team, helping revolutionize security management with our AI-native Falcon Next-Gen SIEM platform &ndash; enabling customers to detect, investigate, and hunt down threats 150x faster at Petabyte scale.
You'll design, architect, and develop world-class case management and investigation capabilities in Go, empowering security analysts to be more effective at incident response, threat hunting, and collaborative investigations. You'll build intelligent workflows that connect detections, evidence, and response actions into cohesive cases. Leveraging advanced correlation, contextual enrichment, and AI/ML-powered insights, you'll help security teams work smarter through intelligent threat prioritization, automated investigation suggestions, and agentic analyst workflows &ndash; helping them respond faster to emerging threats.
While Go experience is preferred, strong backend engineers from other languages who can demonstrate rapid adaptability and a track record of delivering at scale are welcome to apply. If this is the kind of scale and impact you're looking for, we'd love to hear from you.
What You&rsquo;ll do:<ul><li>
Own the engineering bar. Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last &ndash; not just for today's scale, but for what's next</li><li>
Lead system design and architecture decisions, including design reviews and RFC processes</li><li>
Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities</li><li>
Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity</li><li>
Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions</li><li>
Mentor junior and mid-level engineers through pair programming, code reviews, and one-on-one knowledge sharing</li><li>
Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling</li><li>
Participate in the on-call rotation and drive improvements that reduce your teams toil and increase system reliability</li><li>
Operate with a high degree of autonomy &ndash; you'll be trusted to make decisions and drive outcomes</li></ul>
What You&rsquo;ll Need:<ul><li>
A collaborative team player who lifts those around them (We believe in: One team. One fight!)</li><li>
8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in production</li><li>
Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts</li><li>
Proficiency building and scaling resilient, low-latency services in production using Go, Python, Java, C++, or C#</li><li>
Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP</li><li>
Strong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindset</li><li>
Proven ability to translate complex and ambiguous business requirements into technical solutions and deliver projects on schedule</li><li>
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.</li></ul>
Bonus points:<ul><li>
Currently developing Go-based microservices for scalable, high-throughput architectures</li><li>
Experience in cybersecurity, SIEM, SOAR, or adjacent security domains</li><li>
Hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks</li></ul>
#LI-GO1
#LI-HYBRID
Benefits of Working at CrowdStrike:
<ul><li>Market leader in compensation and equity awards</li><li>
Comprehensive physical and mental wellness programs</li><li>
Competitive vacation and holidays for recharge</li><li>
Paid parental and adoption leaves</li><li>
Professional development opportunities for all employees regardless of level or role</li><li>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</li><li>
Vibrant office culture with world class amenities</li><li>
Great Place to Work Certified&trade; across the globe
</li></ul>CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.</div>

Sr. Backend Engineer, Cloud - Threat Detection / Incident Response (Hybrid, London)

Loop Recruitment

<div>
 
 
 Site Reliability Engineer/ Platform Engineer
 
 
 
 💰 Up to &pound;120,000
 
 
 📍 London (Hybrid)
 
 
 🚀 High Growth Technology Business
 
 
 
 
 
 We're working with a highly regarded engineering-led organisation looking to hire two Platform Engineers to join a growing infrastructure team.
 
 
 
 
 
 This is an opportunity to join at a pivotal point. The team is investing heavily in its platform capabilities and is looking for engineers who enjoy building scalable systems, automating everything possible, and creating the foundations that enable product teams to move quickly and safely.
 
 
 
 
 
 This role will suit someone who enjoys solving complex infrastructure challenges, thrives in technically ambitious environments, and wants to have a genuine impact on the direction of a platform function.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 <ul>
 <li>
 Designing, building, and scaling cloud infrastructure
 </li>
 <li>
 Automating operational processes and eliminating manual toil
 </li>
 <li>
 Developing and maintaining Infrastructure as Code
 </li>
 <li>
 Improving platform reliability, observability, and resilience
 </li>
 <li>
 Building and supporting Kubernetes-based environments
 </li>
 <li>
 Developing CI/CD tooling and deployment workflows
 </li>
 <li>
 Partnering with engineering teams to improve developer experience
 </li>
 <li>
 Influencing technical decisions and platform strategy
 </li>
 </ul>
 
 
 
 
 
 Tech Environment
 
 
 <ul>
 <li>
 AWS
 </li>
 <li>
 Linux
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Terraform
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Infrastructure as Code
 </li>
 <li>
 Automation Tooling
 </li>
 <li>
 Distributed Systems
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Strong experience within Platform Engineering, SRE, DevOps, Cloud Engineering, or Infrastructure Engineering
 </li>
 <li>
 Experience building and scaling infrastructure from the ground up
 </li>
 <li>
 Deep Linux and cloud expertise
 </li>
 <li>
 Strong automation mindset
 </li>
 <li>
 Experience operating distributed systems at scale
 </li>
 <li>
 Comfortable working autonomously and owning projects end-to-end
 </li>
 <li>
 Pragmatic problem solver with excellent technical judgement
 </li>
 </ul>
 
 
 
 
 
 Why Apply?
 
 
 <ul>
 <li>
 Join a highly technical engineering culture
 </li>
 <li>
 Significant autonomy and ownership
 </li>
 <li>
 Opportunity to influence the future direction of the platform team
 </li>
 <li>
 Work alongside experienced engineers who care deeply about quality
 </li>
 <li>
 Solve genuinely interesting infrastructure and scaling challenges
 </li>
 </ul>
 
 
 
 
 If you're someone who enjoys building platforms that empower engineers and create long-term business impact, I'd love to speak with you.
 
</div>

Site Reliability Engineer

<div>As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities.

Your Core Responsibilities:
<ul>
<li>The opportunity to be in a brand new position in a growing team</li>
<li>Develop large-scale distributed training pipelines to manage datasets and complex models</li>
<li>Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems</li>
<li>Develop libraries to improve the performance of machine learning frameworks</li>
<li>Maximize performance in training and inference using GPU hardware and acceleration libraries</li>
<li>Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions</li>
<li>Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining</li>
<li>Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs</li>
<li>Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities</li>
<li>Dig into the internals of open-source ML tools to extend their capabilities and improve performance</li>
</ul>
Your Skills and Experience:
<ul>
<li>5+ years of experience in machine learning with a focus on training or inference systems</li>
<li>Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus</li>
<li>Strong engineering skills, including Python, CUDA, or C++</li>
<li>Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX</li>
<li>Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)</li>
<li>Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)</li>
<li>Exposure to cloud platforms and orchestration tools</li>
<li>A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus</li></ul><div> 
About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.</div></div>

Machine Learning Engineer

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