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About the Role
PhysicsX is building core infrastructure that is reliable, secure, scalable and reproducible across multiple cloud providers and on premises environments. As the platform evolves to serve increasingly complex engineering workloads, the foundational infrastructure layer becomes ever more critical. This role is responsible for the design, provisioning and operation of the shared infrastructure that the entire PhysicsX platform depends on. You will work across infrastructure as code, Kubernetes cluster management, secrets management, GPU drivers, networking and multi tenancy architecture to ensure the platform is dependable, scalable and secure.
Responsibilities
- Own the design and delivery of core infrastructure across multi cloud providers (AWS, GCP, Azure) and on premises environments using Terraform and Crossplane.
- Architect and operate Kubernetes clusters supporting both single tenant and multi tenant workloads, with a strong emphasis on isolation, performance and reliability.
- Define and implement infrastructure provisioning patterns using Crossplane compositions and Terraform modules, ensuring reproducibility and auditability across environments.
- Design and operate secrets management solutions, including dynamic secret provisioning, rotation and fine grained access control integrated with cluster identity.
- Manage and maintain GPU driver configurations and accelerated compute node pools, ensuring compatibility and performance for AI and simulation workloads.
- Own cluster networking design including CNI selection, Istio service mesh integration, ingress strategy and cross cluster connectivity.
- Implement and maintain vCluster based multi tenancy to provide strong workload isolation within shared infrastructure.
- Develop lightweight Kubernetes Operators or controllers where automation of infrastructure lifecycle tasks requires it.
- Establish SLOs and reliability targets for core infrastructure components and lead the response to production incidents.
- Partner with security and platform teams to enforce infrastructure governance, network policies and compliance controls.
- Contribute to and uphold engineering standards across the platform organisation.
Requirements
- 5 or more years of professional experience operating Kubernetes in production.
- Thorough understanding of cluster architecture, the scheduler, networking, storage and the API lifecycle.
- Significant hands on experience designing and operating Crossplane compositions, providers and managed resources in production environments.
- Strong experience authoring, structuring and operating Terraform at scale, including state management, module design and CI integration.
- Practical experience operating infrastructure across more than one cloud provider and on premises environments, with an understanding of the differences in identity, networking and storage.
- Experience designing and implementing both single tenant and multi tenant Kubernetes architectures, with strong views on isolation, resource governance and operational overhead.
- Experience with tools such as Vault, External Secrets Operator or cloud native secret stores, including dynamic provisioning and rotation.
- Solid knowledge of Kubernetes networking, CNI plugins, Istio service mesh and ingress patterns.
- Experience using vCluster or similar tooling to provide lightweight, isolated Kubernetes environments within shared clusters.
- Familiarity with GPU driver management, device plugins and the operational considerations of running accelerated workloads in Kubernetes.
- At least lightweight experience writing or extending Kubernetes Operators or controllers, ideally in Golang or Python.
- Comfortable writing code to automate and extend infrastructure.
- A solid grounding in distributed systems concepts, including failure modes, consistency and the operational challenges of running systems at scale.
- Experience with GitOps workflows using tools such as Argo CD or Flux.
- Contributions to open source infrastructure or Kubernetes ecosystem projects.
Skills
- Kubernetes
- Crossplane
- Terraform
- AWS
- GCP
- Azure
- Vault
- External Secrets Operator
- CNI
- Istio
- vCluster
- Golang
- Python
- Erlang
- Elixir
- OCaml
- Argo CD
- Flux
Location
- London
- Hybrid
Work Type
- Full Time
- Hybrid
Experience Level
- Senior
Education Level
- CKAD, CKA or CKS certifications are highly desirable
Benefits
- Equity options
- 10% employer pension contribution
- Free office lunches
- Enhanced parental leave
- YellowNest nursery scheme
- 25 days of Annual Leave (+ Public Holidays)
- Private medical insurance
- Wellhub Subscription
- Eye tests
- Personal development
- Employee Assistance Programme (EAP)
- Bike2Work scheme
- Season ticket loan
- Octopus EV salary sacrifice
About the Company
- PhysicsX is the physics AI company for industrials.
- The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today.
- PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle.
- The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges.
- PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.
Equal Opportunity
- 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 employment and equality legislation.
- This information is confidential, used only in aggregate form, and will not influence the outcome of your application.