Accountabilities

Quality Strategy & Technical Leadership: Act as the primary quality engineering authority for an assigned product pillar, establishing testing standards, processes, and technical direction while ensuring consistency across product modules.
Early SDLC Engagement: Participate in requirements refinement, sprint planning, RFCs, and design reviews to identify testability concerns, integration risks, and potential quality issues before development begins.
Business & Engineering Alignment: Collaborate with Engineering Directors and Product Managers to align quality initiatives with product objectives, engineering priorities, and key performance indicators (OKRs), including delivery velocity and system reliability.
Quality Ownership & Risk Management: Take end-to-end responsibility for quality across the assigned product area by identifying automation gaps, resource constraints, technical weaknesses, and release risks. Escalate critical issues and coordinate appropriate corrective actions.
Cross-Functional Collaboration: Represent the product pillar in cross-module leadership discussions, coordinate dependencies between engineering teams, and promote standardized testing strategies, tools, and best practices.
Performance & Non-Functional Testing: Design and lead performance, load, and scalability testing strategies to ensure applications and distributed systems can handle enterprise-level workloads, concurrency, and data volumes.
AI-Driven Testing Innovation: Promote the adoption of AI throughout the testing lifecycle, collaborating with internal tooling teams to implement and standardize AI-powered solutions for test generation, intelligent failure analysis, and pipeline optimization.
Test Automation & Engineering Excellence: Develop and maintain complex end-to-end (E2E) automation scripts, contribute test code, and review developer-written unit and integration tests to identify coverage gaps.
Testing Frameworks & Coverage: Establish best practices for unit, functional, and acceptance testing frameworks. Develop strategies to improve test coverage and integrate quality requirements into release gates.
Automation Reliability: Work closely with automation enablement specialists to address framework limitations, eliminate flaky tests, and improve the reliability and efficiency of automated testing pipelines.
Resource Allocation & Prioritization: Strategically allocate quality engineering resources, prioritize critical user journeys, and coordinate team efforts around high-impact product initiatives.
Mentorship & Knowledge Sharing: Coach and mentor Feature Quality Engineers and developers on advanced testing principles, automation practices, and quality engineering methodologies while encouraging technical ownership across teams.
Continuous Improvement: Drive improvements in testing processes, engineering collaboration, and quality standards while promoting a culture in which software quality is a shared responsibility rather than solely a QA function.

Requirements

8–12+ years of professional experience in Quality Engineering, Software Development in Test (SDET), or a related technical discipline.
Proven experience leading quality engineering initiatives across multiple teams, product modules, or complex software environments.
Deep technical expertise in programming languages, testing tools, and automation frameworks, particularly Python, Pytest, Playwright, and TypeScript.
Strong experience designing and implementing comprehensive automated testing strategies across unit, functional, integration, acceptance, and end-to-end testing.
Demonstrated expertise in performance, load, and scalability testing for complex distributed systems.
Experience evaluating build-versus-buy decisions and designing or implementing custom solutions based on industry-leading testing practices.
Strong understanding of software development lifecycles, test architecture, quality engineering methodologies, and release management.
Ability to assess technical and release risks, balance delivery timelines with quality requirements, and optimize testing execution without compromising engineering velocity.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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