Run load, stress, and soak tests to catch bottlenecks before production; profile CPU, memory, GC, I/O, and network in C#/.NET and/or Java services.
Troubleshoot production performance issues (latency regressions, resource exhaustion, throttling) and tune resource usage in Kubernetes/AKS (requests/limits, autoscaling, kubectl diagnostics).
Ongoing
Build self-serve performance capabilities (dashboards, guardrails, docs) so teams can diagnose issues without escalating.
Design and maintain C#/.NET and/or Java microservices with a focus on performance and scalability.
Collaborate via Agile/GitHub workflows and mentor junior engineers on profiling and troubleshooting.
What You'll Bring
6+ years of software engineering experience with meaningful exposure to performance, scalability, or reliability engineering.
Strong C#/.NET and/or Java skills, plus strong Azure experience.
Solid grasp of how compute resources (CPU, memory, I/O, network) drive performance/scalability, including tuning in containerized environments.
Hands-on experience with a load-testing tool (k6, JMeter, Locust, Gatling) and a browser-automation tool for synthetic/end-to-end testing (Selenium, Cypress, Playwright).
Experience with profiling tools (dotnet-trace, PerfView, App Insights profiler) and observability/APM tooling (Splunk, Grafana, Honeycomb, AppDynamics, New Relic).
Some experience applying AI/LLM tools to dev workflows (AI-assisted coding, test generation, analysis).
Experience integrating tooling/tests into CI/CD (Azure DevOps, GitHub Actions) and troubleshooting production performance issues.
Working knowledge of Linux fundamentals and networking basics (DNS, TLS, routing) as they relate to performance.
Experience with Agile/GitHub, strong documentation and communication skills, and comfort working across time zones.
You'll Thrive in This Role If You
Are self-motivated and comfortable driving your own investigations without step-by-step direction.
Have systemic curiosity — you want to understand how a system behaves end-to-end, and think across layers from application code down through infrastructure and database.
Question assumptions and keep digging until you find the actual root cause, not just the first plausible explanation.
Nice to Have
Gatling or Playwright experience specifically.
AKS experience (cluster ops, node pools, scaling) with a performance/capacity lens.
Front-end development experience using Angular/TypeScript.
Database-layer performance troubleshooting (query plans, indexing, stored procedure tuning).
Familiarity with distributed tracing (OpenTelemetry), capacity planning and cost/performance trade-off analysis.
Quick Summary
“Backend-heavy engineer who codes daily, hunts down and fixes performance bottlenecks, and operates production systems; strong in C#/.NET and/or Java, Azure, compute/resource performance fundamentals, load testing, and observability.”
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