Responsibilities

Architect and execute performance strategy for Truelark scaling: define KPIs and SLOs, establish baselines, and run load, stress, spike, and endurance tests
Design and build a self-service performance testing platform integrated into CI/CD pipelines (GitLab CI, GitHub Actions)
Champion performance best practices: create reference implementations, documentation, and workshops for Go-based microservices on Kubernetes
Conduct deep-dive bottleneck analysis using observability tools (Prometheus, Grafana, Datadog) and application profiling
Define and monitor SLOs for latency, throughput, and availability; proactively identify regressions

Requirements

5+ years professional experience in Performance Engineering, Software Engineer in Test, SRE, DevOps, or Software Engineering with focus on performance, scalability, and reliability of large-scale distributed systems
Strong proficiency in Go and/or Python; Go experience highly desired
Deep hands-on expertise with Kubernetes (deployment, management, performance tuning)
Proven experience designing and optimizing CI/CD pipelines for automated testing
Expert-level understanding of performance testing methodologies (load, stress, spike, endurance, scalability)
Strong analytical and debugging skills for diagnosing cross-service performance issues in distributed systems
Excellent verbal and written communication skills

Experience with k6 or Locust; building custom tooling/libraries around these tools
Proficiency with observability stacks (Prometheus, Grafana, Datadog, ELK)
Go-specific profiling and debugging experience