Own end-to-end performance testing strategy for real-time and transactional systems
Design and execute load, stress, spike, endurance, and soak tests in production and pre-prod environments
Define performance baselines, SLOs, and regression thresholds
Drive shift-left performance validation during design and development
Design distributed WebSocket load tests supporting 100,000+ concurrent connections
Architect parallel test execution across multiple Kubernetes pods using CI/CD orchestration
Model realistic traffic patterns for sportsbook odds updates, Bet Builder workflows, and real-time market data streams
Prevent resource exhaustion issues through smart test distribution and profiling
Build and evolve K6-based performance frameworks
Integrate tests into GitHub Actions pipelines with configurable parallelism
Use Testkube for Kubernetes-native test execution
Implement dynamic test profile generation
Ensure zero hardcoded secrets and full auditability
Leverage Datadog, metrics, logs, and traces to identify bottlenecks and validate SLOs

7+ years of experience in performance, load, or scalability engineering
Proven experience testing distributed, cloud-native systems
Strong hands-on experience with K6 (or Gatling/Locust with willingness to go deep in K6)
Experience with WebSocket performance testing at scale
Solid programming skills (JavaScript, Java, Python, or similar)
Deep understanding of concurrency, async processing, and event-driven systems
Experience running tests in Kubernetes environments
Strong skills in performance analysis and root-cause investigation
Comfortable working in production environments with guardrails

Senior Software Engineer

Key skills