Senior QA Engineer - SaaS Automation & Reliability

Entrust Corporation

Minnesota

On-site

GBP 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Flexible work options

Career growth

Collaborative culture

Job summary

Entrust Corporation is seeking a Staff Software Quality Assurance Engineer to provide cross-team technical leadership for quality engineering across a multi-tenant SaaS platform. You will define automation architecture, build reusable test frameworks, and drive risk-based quality strategies with Product, Platform, Security, and Cloud Operations teams.

The role remains hands-on while establishing scalable testing practices across Identity, Authority, Execution, and Assurance planes, owning

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
10+ years of professional software quality engineering or software development experience, including hands-on automation and cross-team technical leadership.
Advanced programming skills in at least one modern language and demonstrated experience designing scalable, maintainable automation frameworks.
Deep experience testing cloud-native SaaS platforms at scale, including distributed systems, APIs, asynchronous workflows, multi-tenancy, and production operations.

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.