Staff Software QA Engineer, Entrust Agentic Trust

Position Summary The Staff Software Quality Assurance Engineer is a senior individual contributor who provides cross-team technical leadership for quality engineering across the Entrust Agentic Trust solution. The role defines automation architecture and risk-based quality strategies for a multi-tenant software as a service (SaaS) platform, ensuring capabilities remain secure, reliable, robust, and scalable under demanding production conditions.

Working with Product, the Platform Architect, Software Development, Security, and Cloud Operations, this role remains deeply hands-on while establishing reusable test frameworks and quality practices across the Identity, Authority, Execution, and Assurance planes. The Staff Engineer owns complex quality challenges spanning services and build tracks, leads systemic improvements, and influences release decisions through clear evidence of product risk and readiness.

Key Responsibilities

• Own cross-team quality strategy, automation architecture, and risk-based coverage for distributed, multi-tenant SaaS services, APIs, SDKs, and integration surfaces.
• Design and implement reusable automation frameworks, test libraries, service simulators, and deterministic test-data capabilities that support parallel execution and maintainable coverage.
• Embed automated unit, integration, contract, API, end-to-end, and regression testing into CI/CD pipelines; establish actionable quality gates and reduce flaky tests and feedback time.
• Lead performance and scalability validation through workload modeling, load, stress, spike, soak, and capacity testing; assess latency, throughput, resource consumption, and tenant fairness against agreed service objectives.
• Define robustness and resilience testing for dependency failures, network disruption, retries, timeouts, recovery, concurrency, and partial outages; validate graceful degradation and fail-open or fail-closed behavior against approved policies.
• Partner with Security and Architecture to validate identity, delegated authorization, tenant isolation, evidence integrity, replay, continuous authentication, and content provenance, including negative and boundary scenarios.
• Establish production-representative test environments and synthetic or approved de-identified data practices; validate upgrades, backward compatibility, migrations, and rollback readiness.
• Lead complex defect investigations using logs, traces, metrics, and reproducible experiments; drive cross-team root-cause analysis and systemic prevention.
• Define quality reporting that makes coverage, escaped defects, automation reliability, performance risks, and release readiness transparent without relying solely on test pass rates.
• Mentor quality and software engineers, lead test-design reviews, and create reusable guidance that strengthens quality ownership across development teams.

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