Senior Software Engineer, Quality
Indexed description
We Build Enterprise-grade Platforms Across The Agentic Stack
- Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
- ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
- NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
- MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.
THE OPPORTUNITY
We are seeking a Senior Software Engineer, Quality with 4–7 years of experience in test automation, QA strategy, and quality engineering for enterprise platforms.
You’ll lead efforts to define, implement, and optimize QA frameworks for XenonStack’s Agentic AI, Vision AI, and Cloud-native platforms — ensuring products meet the highest standards of accuracy, reliability, security, and compliance.
This role is ideal for engineers who are passionate about test automation, quality at scale, and building robust AI-driven products for global enterprises.
Key Responsibilities
- Test Strategy & Planning
- Define and implement end-to-end QA strategies for enterprise-grade AI systems.
- Identify test requirements, critical areas, and automation opportunities.
- Automation & Frameworks
- Design, build, and maintain test automation frameworks (Selenium, Cypress, Playwright, or similar).
- Automate functional, regression, integration, and API tests across platforms.
- Quality Engineering
- Conduct system, performance, and security testing for AI/ML-powered platforms.
- Collaborate with DevOps teams to integrate tests into CI/CD pipelines.
- Monitor production environments for bugs, anomalies, and quality regressions.
- Cross-Functional Collaboration
- Work closely with developers, product managers, and AI engineers to ensure requirements are clear, testable, and aligned with enterprise needs.
- Partner with security engineers to test for compliance, resilience, and robustness.
- Continuous Improvement
- Analyze test results, track metrics (defect density, test coverage, automation rate), and recommend improvements.
- Drive a culture of shift-left testing and embed QA early in the SDLC.
- Leadership & Mentorship
- Mentor junior QA engineers and help scale best practices across squads.
- Champion quality-first principles across engineering teams.
- 4–7 years in QA, test automation, or quality engineering.
- Strong knowledge of QA methodologies, tools, and best practices.
- Hands-on with automation frameworks (Selenium, Cypress, Playwright, TestNG, JUnit).
- Solid understanding of API testing (Postman, RestAssured) and performance testing tools (JMeter, Locust).
- Proficiency in scripting languages (Python, Java, or JavaScript).
- Experience with CI/CD pipelines and version control (Git, Jenkins, GitLab CI).
- Familiarity with cloud platforms (AWS, Azure, GCP) and microservices testing.
- Exposure to AI/ML system testing (data validation, model accuracy, bias testing).
- Experience with containerized testing (Docker, Kubernetes).
- Knowledge of compliance/security testing frameworks (SOC2, GDPR, PCI-DSS).
- Background in BFSI, GRC, or large-scale enterprise systems.
- Agentic AI Product Company
- A Fast-Growing Category Leader
- Career Mobility & Growth
- Global Exposure
- Create Real Impact
- Culture of Excellence
- Responsible AI First
XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!
At XenonStack, we believe in shaping the future of intelligent systems. We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.
Our Cultural Values
- Agency – Be self-directed and proactive.
- Taste – Sweat the details and build with precision.
- Ownership – Take responsibility for outcomes.
- Mastery – Commit to continuous learning and growth.
- Impatience – Move fast and embrace progress.
- Customer Obsession – Always put the customer first.
- Obsessed with Adoption – Making AI accessible and enterprise-ready.
- Obsessed with Simplicity – Turning complex quality challenges into seamless, reliable processes.
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