SDET 2

As an SDET 3, you are a seasoned quality engineer who goes well beyond test execution. You independently own quality for complex features and services — from designing test strategies through to production observability. You bring strong engineering fundamentals, think in terms of systems and failure modes, and actively apply GenAI tools and techniques to accelerate and improve your work.

This is not a manual QA or pure automation role. We’re looking for someone who understands the “why” behind testing decisions, can influence developers and product teams on quality outcomes, and uses modern tools — including AI-assisted approaches — as a natural part of their workflow.

Own test strategy and execution for assigned product areas, covering API, backend, and integration layers with a clear risk-based approach.

Design and maintain test plans that cover functional, non-functional, and edge-case scenarios — aligned with the test pyramid (unit → integration → e2e).

Define and track quality metrics (escaped defects, test effectiveness, automation coverage, flakiness) and use data to drive release-readiness decisions.

Participate in design and architecture reviews to provide testability and risk input early in the development cycle (shift-left).

Build, extend, and maintain automation frameworks for API and service-level testing with a focus on reliability, speed, and maintainability.

Write clean, production-grade test code in Java or Python — following the same engineering standards as application code.

Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions) and enforce quality gates that provide fast, actionable feedback.

Own test infrastructure decisions: parallelization, test data management, environment provisioning, and flaky test management.

Actively use GenAI tools (e.g., Claude, Copilot, or similar) in daily testing workflows — test case generation, code authoring, failure analysis, data validation scripting, and exploratory test ideation.

Evaluate and adopt AI-assisted testing techniques for areas such as test generation from requirements/specs, intelligent test selection, and automated root-cause analysis of failures.

Bring practical experience integrating GenAI into quality processes — not just awareness, but demonstrated usage that improved efficiency, coverage, or signal quality.

Stay current on emerging AI capabilities relevant to SDET practices and proactively propose adoption where ROI is clear.

Work closely with product, business, and engineering teams to understand requirements and translate them into comprehensive test coverage.

Conduct thorough bug triage and RCA (Root Cause Analysis), communicating findings clearly with actionable recommendations.

Contribute to sprint planning with realistic test effort estimates, risk assessments, and dependency identification.

Mentor junior SDETs and QA engineers on testing best practices, framework usage, and quality mindset.

At Bidgely we’re on a mission to make a difference and build a workplace where every unique voice is heard and celebrated. Here, we believe that celebrating the unique backgrounds, perspectives and abilities of every employee makes an impact not only for our company internally but also for our clients, customers and community. We are an equal opportunity employer and believe that the inclusive atmosphere we build together will enable every person to grow, contribute and thrive. Our hiring decisions are based on your skills, talent, and passion – not on your background, gender, race, age, or the quirky way you dance at office parties