Platform Engineer

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.   ABOUT THE TEAM   Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies. We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.     ABOUT THE ROLE   We're looking for a Platform Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows. Working in a cross-functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions.     WHAT YOU'LL BE DOING:   * Building robust, secure, and scalable cloud infrastructure for AI and ML workflows. * Partnering with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping. * Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos. * Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges. * Creating and maintaining reusable, company-wide libraries and infrastructure-as-code. * Researching and integrating the best open-source technologies to enhance Faculty's infrastructure capabilities.   WHO WE'RE LOOKING FOR:   * You are pragmatic and outcome-focused, balancing the big picture with the details to execute complex projects in the real world. * You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done. * You have a drive to learn, constantly exploring new technologies and novel applications for existing tools. * You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform. * You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices. * You possess proficient knowledge of Networking and Cloud Security * You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.   THE INTERVIEW PROCESS   1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes)   OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Meticulous

We have temporarily paused hiring for this role. Please submit your CV to be considered when we re-open it in the future. A World-Changing Company Meticulous is radically accelerating the pace of software development. We've built the world's first fully autonomous and exhaustive testing platform for frontend codebases - a capability that has never existed before and that we believe is the missing piece in unlocking the full potential of code generation. The demand has been immense. Companies like Dropbox, Wiz, and Notion often pay more for Meticulous than any other software product in their stack, and spontaneously refer us to others. Our team of eleven has achieved this by bringing together some of the most talented engineers from Uber, Google, Dropbox, GitHub, Meta, and Palantir. You can learn more about the company in this video here. THE ROLE The First Platform Engineer Meticulous replays thousands of recorded user sessions against every pull request. This requires infrastructure that is fast, reliable, and cost-efficient at scale. As a Platform Engineer, you'll own the systems that make this possible. You'll design and build resilient infrastructure to support 10x growth, operate it in production, and shape our incident processes for when things break. This is not a maintenance role, you'll define how we build and operate as we scale. You'll have significant autonomy. We're a small team, and you'll be the first dedicated platform engineer. That means you'll make real architectural decisions, not just execute on someone else's design. CORE RESPONSIBILITIES Your work will involve pioneering our approach to platform engineering, from infrastructure and security to developer experience: * Architecting Resilient Infrastructure: Design, build, and scale the compute platform that powers Meticulous, managing our cloud infrastructure through Terraform with proper change management. Optimise infrastructure costs, balancing performance and spend as we scale. * Own Production Reliability: Improve our monitoring, alerting, incident response, and on-call rotation to ensure that when systems encounter problems, we’re able to respond quickly and effectively to resolve incidents. * Write Production Code Beyond Infrastructure: This role blends platform engineering with general software development work. * Improve Developer Experience: Build internal tooling and automation that improves developer productivity and allows us to accelerate growth * Build the playbook: As our first platform engineer, you’ll establish infrastructure standards and practices for a growing engineering team, maintaining security and compliance standards across our infrastructure. WHAT WE'RE LOOKING FOR * Exceptional engineering skills: 3+ years of experience in a software development or platform engineering role. * Infrastructure expertise: Experience operating production systems on AWS (or other cloud provider), hands-on with Kubernetes, and enough Terraform to have opinions about how to structure it. Familiarity with CI/CD pipelines and observability tooling (Prometheus, Grafana, Datadog, or similar). * Strong technical foundation: Demonstrated ability to write production-quality code and solve hard technical problems (experience with Python, TypeScript/JavaScript, systems programming, or browser internals is valuable). * On-call experience: you know how to triage issues under pressure, drive them to resolution, and write the postmortem afterward. You understand that reliability is built through good design, not just good monitoring. * Awareness of security best practices and compliance requirements (SOC 2 or similar). * Cost consciousness: not just making things work, but making them work economically at scale. You've rightsized compute, managed Spot instances, or made similar trade-offs. * High drive and bias for action: you thrive with minimal supervision, make decisions quickly, and take ownership of outcomes. When you see a problem, you fix it. This role demands entrepreneurial self-drive and comfort with ambiguity. WHAT YOU'LL GAIN Shape a new function As the first Platform Engineer, you'll define how this role evolves and grow into leadership as the team expands. Exceptional growth You grow through a combination of the people you work with, and the experiences you’re exposed to. Within that context: * Our philosophy is that density of talent is what matters; and so we’ve focused on keeping the team small but with exceptional individuals. You’ll get to collaborate with world-class engineers who previously led 100+ person organizations at top companies, and we expect you’ll find the team is beyond any you’ve worked in before, within big tech (Google, Meta, etc.) or otherwise. This, combined with a focus on learning and growing together, means we’re able to learn from each other at rapid pace. * Beyond growing your skills through engineering and collaboration, the role involves spending a lot of time with engineering leaders at the fastest growing tech companies and leading firms in the world. We’ve found this gives us a unique exposure to a huge range of technologies, practices, techniques, codebases, architectures, cultures, learnings - what works, what doesn’t. It’s a valuable bird eye view of collective learnings and experiences. These learnings normally take years or decades to build up as you move between companies. There are few startups that grow as fast as we do. You’ll be joining a small team on an exceptional trajectory. Through this comes unique growth, but also unique network: Expand your network Our investors include Guillermo Rauch (Vercel), Jason Warner (CTO of GitHub), Calvin French-Owen (Segment), Jared Friedman (YC/Scribd), Scott Belsky (Adobe), and Arash Ferdowsi (Dropbox) - we can connect you with anyone in tech in the course to expanding the business. You’ll work with engineering leaders across many leading tech companies, often at the highest levels. Given the speed of growth, and desirability of the product amongst the leading enterprises, Meticulous provides the opportunity to build a network of connections across the full span of the technology world. Solve novel problems Work on challenges at the intersection of browser technology, testing infrastructure, and large-scale system design that few engineers ever encounter - to help build something that changes the way software is developed. World-class compensation Base salary £150K-£300K plus significant equity, exceeding compensation at top technology companies and startups. LIFE AT METICULOUS We believe autonomous testing will enable the automation of the majority of software development. You'll be at the forefront of this transformation, working with the companies that will be first to realize this future. This role is on-site because we've found that the speed of iteration and depth of collaboration required for both customer success and technical excellence happens best in person.

Quadrature Capital

At Quadrature, we're building the ultimate automated trading system: one that ingests data, forms views, executes in the market, and learns from the result to get better and faster. Every component - research infrastructure, low-latency stream processing, distributed data systems, trade execution, observability - is part of that system. The goal is for human effort to compound, rather than be spent solving the same problems again and again. Platform Engineers run the internal developer platform that powers Quadrature's business-critical applications, giving engineering teams self-service tools to ship and operate their systems reliably. What we’re looking for:  * Strong hands-on experience running Kubernetes in production: administration, operations, and application deployment.  * Solid grounding in Linux and networking fundamentals, with proficiency in Go or Python.  * A track record of leading complex technical projects end-to-end: from requirements and architecture through to implementation and delivery.  * Proficiency with GitOps, Infrastructure-as-Code, configuration management, and modern observability stacks. * A pragmatic, adaptable mindset - equally comfortable building global infrastructure, advising other teams, and bringing in new tools and ideas where they add value. If you want to do the best work of your career, we'd love to hear from you. To see our benefits, check out https://www.quadrature.ai/working-here/our-benefits/