Senior Software Engineer - Platform Runtime

London, United Kingdom
Last week
Seniority
Senior
Posted
14 Apr 2026 (Last week)

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Senior Software Engineer – Platform Runtime London (Hybrid) | Engineering | Full Time

The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. As the platform scales to meet the demands of world class engineering teams, we are investing heavily in the runtime layer that underpins all workload scheduling, lifecycle management and compute orchestration.

We are looking for a Senior Software Engineer to join our Platform Runtime team. This role sits at the heart of how we extend Kubernetes to support the complex, long running and resource intensive workloads that PhysicsX customers depend on. You will own the design and delivery of Kubernetes Operators and runtime components that define how our platform provisions, manages and recovers workloads at scale.

This is a deeply technical, hands on engineering role. You will work closely with Platform SRE, Data Integration and product teams to define runtime contracts, surface observability and ensure the platform is reliable, extensible and operable in production.

  • Design, build and operate production grade Kubernetes Operators that manage the full lifecycle of PhysicsX workloads, including provisioning, scaling, health management and graceful termination.
  • Own the runtime architecture across multi cloud and on premises environments, ensuring consistent behaviour regardless of where compute runs.
  • Drive the adoption and evolution of service mesh capabilities using Istio, including traffic management, mutual TLS and observability integration.
  • Design and implement virtual cluster strategies using vCluster or equivalent tooling to support multi tenancy and workload isolation at the runtime layer.
  • Collaborate with platform and infrastructure teams to define and maintain clear runtime interfaces and contracts.
  • Establish and own reliability practices for runtime components, including SLOs, alerting and incident playbooks.
  • Mentor engineers across the platform organisation and contribute to engineering standards, design reviews and technical direction.
  • Evaluate and integrate upstream Kubernetes ecosystem tooling, contributing back where appropriate.

What You Bring to the Table

  • Kubernetes Operator experience – you have designed, built and operated at least one production Kubernetes Operator. This is a firm requirement for the role.
  • Golang expertise – 3 or more years of professional Golang development. You write idiomatic, testable and maintainable Go and are comfortable leading code reviews and establishing patterns.
  • Deep Kubernetes knowledge – you understand the Kubernetes API machinery, reconciliation loops, controller runtime, admission webhooks and custom resource definitions inside out.
  • Service mesh experience – hands on experience with Istio in a production environment, covering traffic shaping, observability, mTLS and policy enforcement.
  • Multi tenancy and isolation – experience with vCluster, Capsule or equivalent tooling to provide workload and namespace isolation within shared Kubernetes clusters.
  • Distributed systems background – a strong understanding of how to design and troubleshoot distributed systems at scale, including consensus, failure modes and recovery strategies.
  • Multi cloud and on premises – experience operating Kubernetes across multiple cloud providers and on premises infrastructure, with an appreciation of the differences in networking, storage and permission management.
  • Software engineering foundations – you are comfortable writing production code and are expected to do so regularly.
  • Platform engineering mindset – you think in terms of internal products, developer experience and long term maintainability, not just delivery.
  • AI infrastructure tools familiarity - You are familiar and/or have professional experience with software suites typically used to manage data and pipelines at scale, such as Kubeflow, Kedro, Kubetorch among others.

Ideally

  • Experience contributing to open source Kubernetes projects or the wider CNCF ecosystem.
  • Exposure to GPU workload scheduling or accelerated compute environments.
  • Experience with Terraform and/or Crossplane for infrastructure provisioning.
  • Background in simulation, ML platform engineering or HPC environments.
  • Kubernetes certifications such as CKA, CKAD or CKS are a welcome signal of structured knowledge.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀Equity options - share meaningfully in the company you’re helping to build.

🏦10% employer pension contribution - because investing in future matters.

🍽️Free office lunches - to keep you energised and focused.

👶Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀Eye tests - because good work depends on good health.

📈Personal development - dedicated support for learning, development, and leveling up over time.

💛Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲Bike2Work scheme and 🚆Season ticket loan - to make getting to work easier and greener.

🚗Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Related Jobs

View all jobs

Senior Software Engineer - Core Services

PhysicsX London, United Kingdom

Forward Deployed Applications - Senior Software Engineer

PhysicsX London, United Kingdom

Senior Frontend Software Engineer - Core Services

PhysicsX London, United Kingdom

Frontend Software Engineer - Simulation Workbench

PhysicsX London, United Kingdom

Senior Forward Deployed Software Engineer

PhysicsX United Kingdom

Senior AI Engineer - Applied

PhysicsX London, United Kingdom

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Materials Science Jobs in the UK (2026 Guide)

Advertising materials science jobs in the UK requires a different approach to most technical hiring. The candidate pool spans physicists, chemists, metallurgists, ceramicists, polymer scientists and computational materials researchers — a highly multidisciplinary community with distinct professional identities, academic networks and job search behaviours. The strongest candidates are typically embedded in university research groups, national laboratories, government-funded programmes or deep tech R&D teams, and move between roles through specialist academic channels, professional societies and sector-specific networks rather than mainstream job boards. This guide, published by MaterialsScienceJobs.co.uk, covers where to advertise materials science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

How Many Materials Science Tools Do You Need to Know to Get a Materials Science Job?

If you’re navigating the materials science job market, it can feel like the list of tools, techniques and platforms you should learn grows every week. One job advert mentions electron microscopy, another mentions X-ray diffraction, yet another wants experience with thermal analysis, spectroscopy, simulation software, statistical packages, manufacturing QA systems and more. With so many specialised methods and instruments, it’s easy to feel overwhelmed — and to start thinking you need to know everything just to be considered. Here’s the honest truth most materials science hiring managers won’t tell you directly: 👉 They don’t hire you because you know every piece of equipment or software. They hire you because you can use the tools you do know to answer real questions, make reliable measurements and communicate results clearly. Tools are essential — no question — but they are secondary to problem-solving ability, scientific reasoning and experimental rigour. So the real question is: how many materials science tools do you actually need to know to get a job? The precise number depends on the role you want, but for most job seekers the answer is far fewer than you think. This article breaks down what employers really value, which tools are core, which are role-specific, and how to focus your learning so your CV and interviews stand out for the right reasons.

What Hiring Managers Look for First in Materials Science Job Applications (UK Guide)

Materials science is a broad, interdisciplinary field that spans academia, industry, research, engineering and manufacturing. Whether you’re applying for roles in R&D, process development, quality assurance, failure analysis, nanomaterials or product scale-up, hiring managers make key decisions within the first few seconds of scanning your application. In competitive job markets, simply listing skills or qualifications isn’t enough. Hiring managers are looking for signals of relevance, technical depth, problem-solving capability and real-world impact — and they expect those signals to be clear right from the top of your CV or portfolio. This guide breaks down exactly what hiring managers typically look for first in materials science applications, why they look for it, and how you can optimise your CV, cover letter and portfolio so your application stands out and gets past the first filter.