Senior Lead, Quality Engineer R
Posted:
2 October 2026 (20 hours ago)
Application Deadline:
30 December 2026
Vacancies:
1 Vacancy
Job Summary
Senior Lead Quality Engineer
Job requirements
- Define the overall QA strategy test approach quality gates and release criteria.
- Lead test planning execution defect management reporting and production-readiness sign-off.
- Coordinate delivery across engineering security infrastructure operations architecture and business teams.
- Lead functional integration API regression automation and user acceptance testing.
- Validate AI and agent workflows enterprise content retrieval identity and authorization policy enforcement and human-approval processes.
- Cover positive negative fail-closed resiliency and no-bypass scenarios.
- Coordinate SAST DAST SCA container dependency vulnerability and secrets-scanning activities.
- Track findings through remediation retesting evidence capture and formal closure.
- Partner with Cyber Security Risk Compliance and Architecture stakeholders.
- Lead load stress scalability concurrency capacity and performance testing.
- Validate failover recovery rollback and operational resilience.
- Establish measurable performance baselines and release thresholds.
- Confirm monitoring alerting logs distributed tracing audit evidence dashboards and support procedures.
- Validate deployment rollback incident response business continuity and disaster recovery readiness.
- Ensure all mandatory evidence is complete before production promotion.
- 812 years of experience in Quality Assurance Test Engineering or Quality Engineering leadership.
- Experience leading enterprise-scale testing programs and distributed delivery teams.
- Strong background in API integration cloud-platform and security testing.
- Hands-on experience with test automation CI/CD performance engineering and defect governance.
- Experience working with architects cyber-security teams operations leaders and senior stakeholders.
- Experience in BFSI or another regulated industry is strongly preferred.
- Testing AI GenAI Copilot chatbot or agent-based solutions.
- Identity and access management OAuth/OIDC RBAC/ABAC and workload-identity validation.
- Enterprise observability auditability compliance evidence and DevSecOps practices.
- MCP-based integrations retrieval workflows or governed enterprise connectors.
- A scalable and risk-based QA framework is established and adopted.
- Automation and regression coverage improve release confidence and delivery speed.
- Security performance resilience and operational testing are embedded into delivery.
- Production releases are supported by complete traceable and accepted evidence.
- Quality risks are communicated early and resolved through clear ownership and governance.
About the Role We are looking for an experienced QA Lead to drive quality strategy test automation security validation and production readiness for enterprise AI and digital platforms. You will lead end-to-end quality engineering across APIs cloud services AI and agent workflows enterprise integrations identity controls observability and governance processes in a regulated environment. What You Will DoLead Quality Strategy
Drive End-to-End Testing
Coordinate Security and Compliance Validation
Own Performance and Reliability Testing
Validate Production Readiness
What You Bring
Technical Skills API & Integration Postman REST Assured Swagger/OpenAPI ReadyAPI API gateways and microservices Automation Playwright Selenium Cypress or equivalent frameworks Performance JMeter LoadRunner k6 Gatling or equivalent tools Cloud & DevOps Microsoft Azure containers CI/CD pipelines source control and release automation Security SAST DAST SCA dependency container and secrets-scanning fundamentals Data & Observability SQL/data validation and tools such as Dynatrace Azure Monitor Microsoft Sentinel Splunk or equivalent Preferred Experience
How Success Will Be Measured
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.