Software Engineer in Test
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At a glance
Job overview
Mode Analytics is hiring a Software Engineer in Test. The role joins the CX Testing team to validate quality, performance, and scalability of releases from the customer perspective, owning end‑to‑end performance validation, workload design, testing, bottleneck analysis and root‑cause triage across on‑prem and SaaS environments while leveraging modern AI tooling.
Key focus areas include Design and execute load, stress, endurance, and scalability tests for new features and releases, Build and maintain automated performance scripts using tools such as JMeter, Locust, Gatling, or K6, and Run API performance testing against REST endpoints and backend systems.
Successful candidates bring 4+ Years Performance or API Testing Experience. Important skills include Performance Testing, Load Testing, Stress Testing, Endurance Assessment, Scalability Testing, and Apache JMeter. Preferred (not required): Load Testing Data/Analytics Platforms, Resource Allocation Management, and Production Issue Reproduction And Triage.
Skills & qualifications
Skills
Qualifications
Full job description
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
You've read the whole posting — now see how you match it.