About Fegmo
Fegmo is building an agentic commerce platform that keeps product and marketing content continuously channel-ready across every endpoint, marketplaces, retailer sites, and emerging AI agents. We help retailers, brands, and marketplaces automate ingestion, enrichment, validation, and syndication so teams launch faster, reduce manual work, and improve conversion.
Our platform runs on modern cloud and AI infrastructure (LLMs, retrieval, microservices) and powers workflows such as onboarding, taxonomy and attributes, media generation (images and video), localization, and compliance at enterprise scale.
We are expanding our engineering leadership team in India and building a strong, co-located execution culture in Noida.
Role Overview
We are seeking a hands-on SDET / QA Automation Lead to own test strategy, automation, and release gates for the Fegmo platform. This is a high-ownership role focused on reducing regressions, improving reliability, and making releases predictable.
You will be based on-site in Noida and work closely with engineering leadership, backend/frontend teams, and AI engineers.
In the next 90 days, your primary mission is to establish a practical automated regression foundation and CI quality gates so the team can ship consistently with fewer production issues.
Key ResponsibilitiesTest Strategy and Automation Foundation
- Define and execute test strategy across critical workflows, integrations, and AI-assisted experiences.
- Build and maintain an automated regression suite for the highest-risk areas (core product flows, jobs/queues, exports, connector pipelines).
- Establish testing standards and “definition of done” expectations that are realistic and enforceable.
CI Quality Gates and Release Readiness
- Implement and enforce CI quality gates (smoke tests, regression checks, API integration tests) to reduce defect escape.
- Create a release readiness checklist and go/no-go criteria aligned to the team’s release cadence.
- Partner with engineering leadership to drive consistent release discipline and reduce hotfix frequency.
Workflow, API, and Integration Testing
- Build robust API and integration test coverage for microservices and connector endpoints.
- Validate reliability patterns for integration-heavy systems (idempotency, retries, failure modes, error taxonomy).
- Improve test data management and environment stability to reduce flaky tests.
Quality Operations and Defect Management
- Own defect triage processes, RCA follow-ups, and quality reporting (defect escape rate, flakiness rate, test coverage trends).
- Identify recurring defect patterns and drive systemic fixes with engineering teams.
- Establish lightweight quality dashboards and weekly reporting that leadership can rely on.
AI Quality Validation (practical and measurable)
- Define basic evaluation checks for AI-driven features (output validation, structured outputs, regression tests on prompt/pipeline changes).
- Partner with AI engineers to introduce “AI quality gates” for correctness, safety, latency, and cost where relevant.
Required Skills and Experience
- 6–10+ years in SDET / QA automation, including ownership of automated testing in a production SaaS environment.
- Strong experience building test automation for:
- APIs and services (contract tests, integration tests)
- UI workflows (end-to-end tests where valuable, not excessive)
- Strong experience with CI pipelines (GitHub Actions or similar), test gating, and release readiness practices.
- Proven ability to reduce regressions and improve release reliability through practical quality systems.
- Strong debugging skills and ability to work closely with engineers to resolve root causes.
- Experience with test data management and reducing flaky tests.
Nice-to-Have
- Experience testing integration-heavy systems and connectors (marketplaces, feeds, syndication, exports).
- Familiarity with microservices, queues/background jobs, and distributed systems failure modes.
- Experience with performance smoke tests and basic security testing practices.
- Familiarity validating AI outputs (structured output checks, eval datasets, prompt/pipeline regression testing).
Why Join Fegmo?
- Build the quality foundation for an AI-native platform that ships fast and must remain reliable.
- Own automated regression and release gates that directly impact customer trust.
- High ownership and impact, with the opportunity to take on expanded scope as the team grows.
Culture Note
We are building a thoughtful, mission-driven team that values collaboration, creativity, and inclusion. We welcome applicants from all backgrounds and are especially excited to hear from candidates with unique perspectives and a passion for building meaningful tools.
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