Software Engineer, Senior B Performance Engineering

What You'll Do

Load & Synthetic Test Tooling

• Build and maintain our synthetic/load-testing framework — test development (Playwright/Gatling), execution, and reporting.
• Apply AI capabilities to improve test development — AI-assisted authoring, scenario generation, result analysis.
• Integrate performance and synthetic tests into CI/CD pipelines so checks run continuously, not just ad hoc.

Observability & Ad Hoc Performance Analysis

• Improve observability tooling (Splunk, Grafana, Honeycomb, App Insights, AppDynamics, New Relic): dashboards, alerting, SLIs/SLOs, instrumentation.
• 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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