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FinOpsly
Role Summary
FinOpsly is scaling rapidly—and with that growth comes the need to build the scaffolding that lets us move fast and safe. We are seeking a hands-on engineering lead to establish and drive our quality assurance practice for a multi-tenant SaaS platform. This is not just a testing role—you will be responsible for owning application quality across the stack (frontend, backend, APIs, infrastructure, and AI/ML workflows), while mentoring engineers and embedding QA into every stage of the development life cycle.
As a senior member of the team, you’ll combine hands-on automation expertise with leadership in defining QA processes, building reusable frameworks, and ensuring that every release is stable, performant, and secure.
What You’ll do:
What You’ll Bring
· 5–8+ years of QA experience, with at least 2–3 years in a senior or lead QA role.
· Strong track record ensuring quality in SaaS applications.
· Hands-on experience with UI, API, and backend automation.
· Familiarity with CI/CD pipeline integration for automated QA.
· Understanding of DevOps and infrastructure quality checks (IaC, environment validation).
· Exposure to AI/ML application validation (data pipelines, model outputs, golden datasets) is a plus.
· Strong communication, analytical, and problem-solving skills.
Preferred:· Knowledge of security and performance testing tools (e.g., OWASP ZAP, JMeter, Locust).
· Familiarity with cloud QA practices (AWS, Azure, or GCP).
· Experience with compliance-driven quality frameworks (SOC2, PCI, GDPR).
What Success Looks Like
· Within 6 weeks:
o QA strategy and quality processes are defined.
o Automation framework skeletons are live for UI + API validation.
o Nightly CI/CD-integrated test runs are in place, with reporting.
o At least one production-critical defect is caught in staging before release.
· Within 6 months:
o Regression suites cover all high-value SaaS workflows (UI → API → DB).
o Infrastructure and environment checks prevent misconfigurations in production.
o AI/ML data pipelines and models are validated with automated quality gates.
o Defect leakage drops significantly, while release velocity improves.
o You are recognized as the go-to quality expert, influencing architecture and delivery decisions.
Why You’ll Love This Role
· Shape the QA practice from the ground up with real ownership.
· Work on a modern SaaS + AI/ML stack where quality truly matters.
· Stay hands-on with automation while mentoring and setting standards.
· Collaborate closely with product, engineering, and DevOps in a fast-moving startup.
· See your work directly improve customer trust, speed, and reliability
