Software Engineer - Go & Python (Core Services) at PhysicsX | London, England, GBR | Rezi

Software Engineer - Go & Python (Core Services) at PhysicsX

Software Engineer - Go & Python (Core Services)

PhysicsX · London, England, GBR

1 months ago

Software Engineer - Go & Python (Core Services)

PhysicsX · London, England, GBR

2 months ago
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About the Role

PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering.

Responsibilities

  • Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows.
  • Architect and build fine-grained role-based and attribute-based access control (RBAC/ABAC) models that scale across multi-tenant environments.
  • Own the platform's permissions layer end-to-end: from policy definition and enforcement through auditing and compliance reporting.
  • Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments.
  • Define and enforce security standards across APIs and services, including schema governance, data segregation, and least-privilege access patterns.
  • Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi-tenant environment.
  • Contribute to the design of multi-service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows.
  • Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code.
  • Build and maintain deployment pipelines, including zero-downtime and multi-service deployments.
  • Author and review Technical Decision Records.
  • Participate in technology reviews to evaluate and adopt new tools and approaches.
  • Mentor junior and mid-level engineers, facilitate technical discussions, and build consensus around architectural decisions.

Requirements

  • Strong software engineering foundations, solid grasp of algorithms, data structures, and system design.
  • Write clean, maintainable, testable code.
  • Hands-on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta).
  • Deep understanding of OAuth 2.0, OIDC, SAML, and token-based authentication flows.
  • Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD).
  • Proven experience implementing RBAC, ABAC, or policy-as-code frameworks (e.g., OPA/Rego, Cedar) in production multi-tenant systems.
  • Experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger).
  • Understand what it takes to make distributed systems genuinely observable.
  • Strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters.
  • Experience designing multi-service systems with attention to schema governance, forward compatibility, and secure data access patterns.
  • Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward-compatible schemas, ACLs, ambassador sidecars).
  • Understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation.
  • Familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows.
  • Hands-on experience building and optimising CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments.
  • Excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications.
  • Follow the frontier of agentic systems and AI tooling.
  • Think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services.
  • Actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty.
  • Work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns.
  • Can zoom in on details and zoom out to see the big picture.

Skills

  • Golang
  • Python
  • OAuth 2.0
  • OIDC
  • SAML
  • RBAC
  • ABAC
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Jaeger
  • Kubernetes
  • ArgoCD
  • CI/CD
  • AI coding tools

Location

  • Shoreditch office

Work Type

  • Hybrid

Experience Level

  • Senior

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 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.

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 UK employment and equality legislation.
  • This information is confidential, used only in aggregate form, and will not influence the outcome of your application.