Software Engineer - Go & Python; Core Services

About Us

Physics

X 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, Physics

X 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.

Physics

X is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We are looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that give our customers superpowers they've never had before.

For decades, engineers have been trapped using siloed, rigid tools from the 90s. We’re changing that by enabling secure, permissioned collaboration at the frontier of AI.

• Design and implement authentication and authorization 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 authorization 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.

• A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team.
• Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python.
• Authentication and identity expertise, 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).
• Authorization and permissions design, proven experience implementing RBAC, ABAC, or policy‑as‑code frameworks (e.g., OPA/Rego, Cedar) in production multi‑tenant systems.
• Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., Open Telemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable.
• Kubernetes and Git Ops, strong working knowledge of Kubernetes and ArgoCD, including deploying,…