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Senior Backend Engineer (Python) Fernbedienung Vollzeit

Unser Kunde:

Seed-stage company building a security gateway for AI agents, enforcing enterprise-grade access, observability, and compliance for AI tool usage. This role works closely with the gateway team to implement policy and authorization across users, tenants, and tools.

Your Tasks:

  • Build and maintain the policy and authorization layer for MCP Gateway interactions;
  • Implement fine-grained access control (per tool, per user, per tenant);
  • Develop and maintain a TypeScript SDK bridging MCP protocol flows;
  • Integrate authorization with agent posture, activity monitoring, and observability;
  • Implement distributed tracing, metrics, and audit logging for compliance;
  • Collaborate with gateway engineers to ensure consistent enforcement across the platform.

Erforderliche Erfahrungen und Qualifikationen:

  • 5+ years in software engineering, with experience in backend development;
  • 2+ years working with authorization or security systems;
  • Strong proficiency in TypeScript and Python, including SDK and API design;
  • Experience with policy engines (CEL, Cedar, OPA/Rego or similar) and production RBAC / ABAC models;
  • Experience with cloud infrastructure (AWS, containers, IaC, CI/CD);
  • Familiarity with identity integration (OIDC, OAuth 2.0, SAML) and enterprise IdPs (Okta, Azure AD, Keycloak);
  • Experience with observability stacks (Prometheus, OpenTelemetry);
  • Englisch - Obere Mittelstufe.

Would Be a Plus:

  • Rust experience or strong interest in learning Rust (core gateway / policy components);
  • Hands-on experience with policy engines (CEL, Cedar, OPA/Rego);
  • Previous work on MCP servers, gateways, or protocol-based systems;
  • Protocol Buffers and xDS experience;
  • AWS security services (IAM, Verified Permissions);
  • Experience implementing security/compliance standards (SOC 2, HIPAA, FedRAMP);
  • Contributions to open-source authorization or policy frameworks (cel-go, cel-rust, Open Policy Agent);
  • Startup experience with comfort in high-ambiguity, fast-moving environments.

Arbeitsbedingungen

5-Tage-Woche, 8-Stunden-Tag, flexible Arbeitszeiten

5-Tage-Woche, 8-Stunden-Tag, flexible Arbeitszeiten;

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