Senior Platform Engineer (m/f/d)

• Architect for elasticity, multi-region resilience, and predictable performance.
• Lead capacity planning and FinOps to ensure efficient scaling.
• Treat the platform as a product, providing self-service "golden paths" that minimize developer friction. Reliability & Observability:
• Own the platform's reliability strategy by defining SLOs, SLIs, and error budgets.
• Implement end-to-end observability (OpenTelemetry, Elasticsearch) and symptom-based alerting to eliminate noise.
• Drive operational excellence through chaos engineering, disaster recovery planning, and incident command. CI/CD & Build Infrastructure:
• Own the deployment platform (GitOps, progressive delivery) and architect a secure, auto-scaling fleet of ephemeral build agents. This shared-responsibility model optimizes compute costs and removes pipeline bottlenecks while giving R&D teams full autonomy over their containerized build environments.
• AI Integration & Governance:
• Establish the guardrails, policy-as-code, and least-privilege access required to safely govern AI-generated infrastructure.
• Simultaneously, leverage AI tools internally to automate platform toil, drift detection, and scale the team's delivery throughput. Delivery & Project Management:
• Act as the connective tissue between app teams and platform engineering.
• Own the intake, scoping, prioritization, and delivery roadmap for cross-functional infrastructure initiatives, transforming ad-hoc requests into a predictable, managed workstream.

• Deep expertise in Microsoft Azure, serverless architectures, and Infrastructure as Code (IaC).
• Proven experience scaling cloud platforms under high growth and governing AI-assisted development workflows.
• Strong background applying policy-as-code alongside security and compliance frameworks (e.g., SOC2, OWASP SAMM).
• Excellent project and program management skills—including dependency and risk management—with the leadership necessary to balance centralized governance with R&D autonomy
• Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs We offer Location: Korntal-Munchingen, DE

Business Unit: FARO Insights Posting Date: Sep 30, 2026 Compensation Currency: EUR Salary Minimum: 75,000 Salary Maximum: 90,000 Incentive: No Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.