Software Engineer in Test

About the Role

Join the CX Testing team to validate the quality, performance, and scalability of every release from the customer's perspective. You'll own performance validation end to end — workload design, load/stress/endurance testing, bottleneck analysis, and root-cause triage — across On-prem and SaaS environments. We're looking for someone hands-on and analytical who folds modern AI tooling (agents, LLMs) into the testing workflow to move faster.

What You'll Do

• Design and execute load, stress, endurance, and scalability tests for new features and releases
• Build and maintain automated performance scripts (JMeter, Locust, Gatling, K6, or similar)
• Run API performance testing against REST endpoints and backend systems
• Analyse metrics, isolate bottlenecks, and deliver actionable recommendations to dev teams
• Establish baselines and track performance regressions across releases
• Integrate performance tests into CI/CD pipelines (Jenkins / GitHub Actions)
• Drive performance triage and root-cause analysis through to resolution
• Leverage AI agents and LLMs to accelerate test creation, log/metric analysis, and triage

Must-Have

• 4+ years in performance or API testing only / UI and API Testing
• Load testing framework expertise (Locust/JMeter//Gatling/K6) with Python or Java
• API testing proficiency — REST APIs, HTTP protocols, backend systems
• Strong Python or Java scripting skills
• CI/CD integration experience (Jenkins preferred)
• Performance analysis with observability tools (Grafana, Prometheus, etc)
• Working knowledge of AI tooling — agents and LLMs in a testing/analysis context
• Solid grasp of distributed systems, system architecture, and database context.
• Git/GitHub; cloud platforms (AWS/Azure/GCP)

Nice-to-Have

• Load-testing data/analytics platforms, databases
• Resource allocation management, reviewing logs, finding RCA.
• Reproducing and triaging real customer-reported production issues