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

Work arrangement
No