Backend / Platform Engineer - Germany

Job summary

Designs, builds, and operates backend services for an enterprise AI platform, including its gateway, orchestration, entitlements, tenancy, data access, integration frameworks, APIs, and platform services. Owns services across design, implementation, testing, deployment, monitoring, reliability, and support, applying distributed-systems practices such as idempotency, consistency, retries, and back-pressure to support multi-tenant products and consumers.

Qualifications

• Experience building and operating production backend, API, or distributed platform services.
• Experience with AI gateways, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.
• Experience designing APIs and developer experiences for internal and external consumers.
• Experience with multi-tenant systems, tenant isolation, service boundaries, and platform enforcement.
• Experience building integration frameworks, connector patterns, governed data access, or reliable data on-ramps.
• Understanding of retries, partial failures, consistency, idempotency, back-pressure, and operational failure modes.
• Experience owning services through design, development, testing, deployment, monitoring, and support.
• Strong communication and collaboration skills in client-facing consulting environments.
• Ability to deliver value quickly while maintaining engineering quality.
• Experience with API gateways, orchestration systems, connector frameworks, event-driven systems, or platform engineering.
• Experience with AI, LLMs, RAG, agentic workflows, tool or function calling, MCP, A2A, or AI development lifecycle practices.
• Experience with event-sourced metering, quotas, entitlements, or billing-related platform services.
• Experience building enterprise-scale software used by multiple products, customers, or internal teams.
• Experience using AI-assisted development tools with strong review, testing, and architecture discipline.

Responsibilities

• Design, build, and operate core services for an enterprise AI platform.
• Contribute to the AI gateway, orchestration, entitlements, tenancy, data access, integration frameworks, APIs, and platform services.
• Own services from design and implementation through testing, deployment, monitoring, reliability, and support.

Skills

Industry

Relocation