Site Reliability Engineer (London Area)

Site Reliability Engineer

Location: London Hybrid (3 days office)

Salary Range: Up to £140,000

Annapurna is working on behalf of a pioneering technology company to recruit a Site Reliability Engineer (SRE) . This is a unique opportunity to play a vital role in developing cutting-edge AI systems that power autonomous vehicle technology.

What to Expect:

The SRE will be instrumental in ensuring the stability, resilience, and efficiency of complex autonomous systems. This is a role for someone who thrives on innovation, loves solving infrastructure and reliability challenges, and wants to play a significant role in shaping the future of AI-driven mobility.

Key responsibilities include:

• Ensuring smooth and continuous operation of autonomous vehicle systems in real-world environments.
• Developing and automating tools for system support, incident response, and fleet management.
• Designing and implementing monitoring and logging solutions to prevent issues and reduce resolution times.
• Building robust integrations between software and hardware, setting new standards for reliability in a high-tech environment.
• Driving the adoption of new tools and best practices aligned with a forward-thinking operational strategy.
• Advocating for automation to reduce manual tasks and improve engineering efficiency.

Essential Experience:

• 8+ years in a Site Reliability Engineering or similar role in a production setting.
• Strong programming skills in Python, C++, or Rust.
• In-depth knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven experience with CI/CD pipelines and container technologies like Docker and Kubernetes.
• Deep understanding of networking, distributed systems, and databases.
• Expertise in monitoring and observability tools such as DataDog, Prometheus, Grafana, ELK stack, or Splunk.
• Excellent communication skills and a meticulous approach to problem-solving.

Desirable Experience:

• Familiarity with Azure.
• Experience working in the autonomous vehicle sector.
• Exposure to AI/ML-based systems.

Benefits:

• A hybrid working policy that balances collaboration in the office with flexibility at home.
• The opportunity to work on cutting-edge technology with real-world impact.
• A strong commitment to diversity, equity, and inclusion.
• Career-defining projects within an ambitious and fast-growing business.