Saisystems Technology
Website:
saisystems.com
Job details:
Role summary
A QA leader who owns test strategy and the automation roadmap, drives the move from manual testing to dependable automation, and mentors a distributed team into new practices inside an AI-augmented (AI-PDLC) delivery model.
Key responsibilities
- Own QA strategy and the automation roadmap: shared frameworks, standards, and quality gates across teams.
- Lead the manual-to-automated transformation toward a clear critical-path coverage target.
- Grow the team: mentoring, a structured upskilling curriculum, pairing, and a career ladder that moves each tester into new practices.
- Set AI-testing governance: standards for testing AI-backed features and for governing tests that AI helps generate.
- Tie quality gates to delivery outcomes (such as change-failure rate), embedded in the squads rather than bolted on at the end.
Required skills and experience
- 8+ years in software QA, including 3+ years leading a QA team or practice (setting strategy and standards across more than one team).
- A demonstrated track record driving a manual-to-automated transformation to a measurable coverage target.
- Hands-on automation depth (for example Playwright and CI/CD) sufficient to set direction credibly and coach on it.
- Proven mentoring and upskilling of testers — building capability through curriculum, pairing, and structured career progression.
- Fluency in AI-augmented testing and in governing AI-generated tests and AI-backed features (evaluation, oracles, non-determinism).
- The ability to tie quality gates to delivery outcomes (DORA change-failure rate) and to operate an embedded, shift-left model.
- Change-leadership: moving a team into new tools and practices while keeping delivery steady.
Preferred qualifications (nice to have)
- ISTQB Foundation (CTFL) or AI Testing (CT-AI) certification.
- Experience standing up a Testing Center of Excellence.
- Healthcare or other regulated-domain quality experience, and test-data governance.
- Leading a distributed or multi-site team.
What a strong candidate looks like Has led a real transition from a low automation baseline to a measured coverage target, can name specific testers they grew into automation or AI-testing roles, and ties quality metrics to delivery outcomes rather than reporting test counts in isolation.
Location and work model
leading a distributed quality-engineering team. This is a build-and-coach role: you will lead a transition from a modest automation baseline, so success is measured by the team's growing capability as much as by coverage numbers.
Compensation
Competitive compensation for a quality-engineering leader, benchmarked to the local market. Specific range shared early in the process and in line with applicable pay-transparency requirements.
Equal opportunity and accommodation
We are an equal-opportunity employer and evaluate candidates on their ability to perform the essential functions of the role. We provide reasonable accommodation for applicants and employees with disabilities — please let us know if you need one during the process.
Click on Apply to know more.