Sr. Software QA Engineer, Entrust Agentic Trust

This Senior Quality Engineering role independently designs, builds, and maintains automated tests for significant capabilities within the Entrust Agentic Trust SaaS platform. The role owns feature- and service-level quality across the development lifecycle, with a strong focus on automation, robustness, performance, and scalability in distributed, multi-tenant environments.

Working with Software Development, Product, Architecture, Security, and Cloud Operations, this role translates requirements and technical designs into risk-based test strategies and reliable automated coverage. The role understands how assigned services connect to the Identity, Authority, Execution, and Assurance planes, identifies defects early, and provides evidence-based recommendations on release readiness while mentoring less experienced engineers.

Key Responsibilities

• Own test planning and quality execution for complex features and services, including acceptance criteria, risk assessment, test design, automation, and release verification.
• Develop and maintain code-based API, integration, contract, end-to-end, and regression automation; contribute reusable utilities and framework improvements aligned with shared standards.
• Integrate automated suites into CI/CD pipelines, investigate failures promptly, and improve test stability, execution efficiency, and diagnostic output.
• Design and execute load, stress, spike, and soak tests using representative SaaS workloads; analyze latency, throughput, errors, and resource utilization to identify scalability limits.
• Validate robustness under concurrency, retries, timeouts, dependency failures, interrupted workflows, and recovery scenarios; verify data consistency and resilience against agreed requirements.
• Test tenant isolation, role and permission boundaries, authentication, delegated authorization, and evidence integrity in partnership with Security and Software Development.
• Create and maintain production-representative environments and synthetic or approved de-identified test data; validate service integrations, upgrades, migrations, and backward compatibility.
• Investigate defects and production issues using logs, traces, metrics, and controlled reproduction; collaborate on root-cause analysis and regression prevention.
• Communicate coverage gaps, defects, performance findings, and residual risks to stakeholders; provide clear service-level release-readiness recommendations.
• Participate in design and code reviews, mentor engineers in automation and test design, and contribute to shared quality engineering practices.

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