What will your role look like:

- Develop backend and systems software using Go while engineering distributed systems and gRPC APIs.

- Build, maintain, and improve automated test infrastructure, execution pipelines, and tooling using Python and other languages.

- Design and enhance Grafana dashboards for metrics visualization, test health, and performance trend analysis.

- Integrate and optimize automated test workflows within Jenkins and CI pipelines.

- Investigate infrastructure regressions, flaky test behavior, and test failures to perform root cause analysis and resolution.

- Analyze system performance across storage workloads, memory, CPU, disk I/O, and networking constraints.

- Generate performance reports for observability benchmarks and collaborate across teams to establish reliability best practices.

Why you will love this role:

- Opportunity to work on complex, high-performance distributed systems using modern backend technologies like Go and gRPC.

- Empowerment to drive test automation, reliability, and infrastructure quality across the full engineering lifecycle.

- Collaborative and technical culture focused on continuous improvement, observability, and systems-performance fundamentals.

What we would like you to bring along:

- Strong backend software engineering experience with solid programming skills in Go and Python.

- Familiarity with observability concepts including telemetry pipelines, metrics, data export, and schema-driven development.

- Experience with distributed systems, service-to-service communication, APIs, and gRPC.

- Solid understanding of systems performance fundamentals, including latency, IOPS, cache behavior, TCP/networking, and resource constraints.

- Proficiency in CI/CD pipelines, Jenkins, and Grafana dashboard generation.