Staff Backend Software Engineer - Go & Python

Salary: £30,000 - 66,000 per year

Requirements

• Strong Kubernetes experience, including comfort with CRDs, Operators, and infrastructure configuration tools such as Helm or ArgoCD.
• Strong command of Go, plus working knowledge of Python; comfort with Rust is also valued.
• Experience deploying and supporting services in more than one production environment.
• An ML platform background or prior data science experience, even if you have since moved into pure software engineering.
• Intellectual curiosity and a proactive approach.
• Strong communication and organisational skills, with experience operating at a senior or staff level, or equivalent people leadership experience, in a comparable engineering organisation.
• Comfort with ambiguity and an adaptable, startup-minded approach.
• Prior experience mentoring or developing other engineers.
• Ideally, experience at an ML-focused startup or platform company, or a strong infrastructure background from a larger organisation, provided you can demonstrate adaptability to a smaller, faster-moving environment.
• Side projects, open source contributions, or things you have built for their own sake are a nice signal of genuine engineering passion.
• Understanding of what it takes to build and support software across cloud, on premises, and air gapped environments.
• Experience with big data systems and analytics at scale in production.

Responsibilities

• Design and build distributed systems, services, and APIs for high-dimensional simulation data across the machine learning lifecycle, from data processing and model training to inference services.
• Own work end to end in a domain where responsibilities often sit between the AI Workbench platform team and the wider infrastructure team, and proactively build the relationships needed to manage that ambiguity well.
• Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing, powering active learning loops.
• Architect and integrate storage solutions, data warehouses, and data lakes to handle the demands of complex simulations, multimodal data, and deep learning workloads.
• Deploy and support services across more than one production environment, including cloud and on-premises or air-gapped customer environments.
• Define system architecture for new capabilities, making trade-offs across performance, reliability, cost, and developer experience.
• Author and review Technical Decision Records and contribute to Technology Radar reviews.
• Mentor and support the growth of engineers across the team, including those earlier in their careers, and act as a technical role model.
• Remain hands on and continue writing code as part of the job.
• Communicate clearly and confidently with a wide range of stakeholders across engineering, delivery, and customer-facing teams.

Technologies

• AI
• Architect
• ArgoCD
• Big Data
• Cloud
• Hardware
• Helm
• Support
• Kubernetes
• Machine Learning
• Model Training
• Python
• Rust
• Backend

More

We are PhysicsX, 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, enabling high-fidelity multi-physics simulation through AI inference across the entire engineering lifecycle. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. We are hiring a Senior, potentially Staff-level, Software Engineer to join our AI Workbench platform team; this is a software engineering role, not an ML research role. The team works in a highly infrastructure-heavy domain and collaborates closely with infrastructure, and the scope of the role may evolve as our team structures settle. We offer equity options, a 10% employer pension contribution, free office lunches, flexible working, a hybrid setup in our Shoreditch office with remote flexibility, enhanced parental leave, private healthcare, personal development support, and the ability to work from anywhere. We value diversity and are committed to equal employment opportunity, and we strongly encourage individuals from groups traditionally underrepresented in tech to apply.

last updated 36 week of 2026