Senior Site Reliability Engineer, Vehicle SW

Responsibilities

We are representing a confidential autonomous vehicle technology company seeking a Senior Site Reliability Engineer to join their Vehicle Software team. In this role, you will ensure the reliability, observability, and safety of an operational autonomous driving fleet deployed on public roads. You will work at the intersection of software, hardware, and operations, transforming real-world incidents and performance challenges into lasting engineering improvements.

Your key responsibilities will include:

• Owning and improving the reliability, availability, and performance of vehicle software systems across the development fleet
• Participating in a team on-call rotation, providing out-of-hours support for live systems when required
• Building and operating monitoring, logging, alerting, and on-call tooling that enables fast detection, diagnosis, and recovery
• Driving incident response and post-incident learning, translating root causes into durable fixes and preventative controls
• Designing and delivering automation for fleet operations, deployments, and repetitive workflows to reduce manual intervention
• Partnering closely with vehicle software, operations, and platform teams to define SLOs, reliability metrics, and release readiness
• Continuously hardening the production environment through capacity planning, change management, and reliability-focused reviews

What We're Looking For

Essential Skills:

• Proven experience in an SRE, production reliability, or platform operations role for complex distributed systems
• Strong Linux fundamentals and hands-on experience with CI/CD, containers (Docker), and orchestration (Kubernetes)
• Proficiency in at least one systems or scripting language (Python, C++, or Rust) with a bias for automation
• Deep troubleshooting skills across networking, distributed systems, and databases, including performance and availability issues
• Experience designing observability stacks and using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio
• Clear communication skills, including incident leadership, writing postmortems, and influencing engineering priorities

Desirable Skills:

• Cloud platform experience (AWS, GCP, or Azure), including infrastructure-as-code and secure production operations
• Experience with real-time or safety-critical systems, hardware-in-the-loop, or embedded/robotics environments
• Familiarity with fleet operations, telemetry pipelines, and operating software on edge devices at scale
• Experience defining and running SLOs/SLIs and reliability programs across multiple teams

This is a full-time hybrid role based in Baden-Württemberg, Germany, requiring a minimum of three days per week in the office.

How We Work With You

When you apply through Get A Job.ai, our talent team will review your application and conduct an initial screening. If there is a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication and interview coordination will be managed through our recruiting team to ensure the best experience for you.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and experiences.