QA Engineer, Test Orchestration
Skills
DevopsAmazon Web ServicesContinuous ImprovementEdtechPreventionProduction ReadinessReadiness
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience owning QA strategy test automation and release readiness within production software environments
- Strong knowledge of test orchestration including coordinating multi-step test pipelines agents jobs and environments across CI/CD and release processes
- Demonstrated ability to design regression suites that balance comprehensive coverage with speed through test selection sharding prioritization and parallel execution
- Strong foundation in test design including risk-based testing exploratory testing automation frameworks and failure triage
- Hands-on experience with AI-assisted testing agentic workflows or LLM-enabled quality tooling
- Experience partnering with Release or DevOps teams on testing procedures quality gates and production readiness criteria
- Ability to operate effectively in ambiguity and make clear trade-offs between coverage speed and release risk
- Strong written and verbal communication skills with the ability to communicate quality status risk and recommendations to both technical and non-technical partners
- A systems-minded approach to quality with a focus on building scalable processes rather than creating testing bottlenecks
- Alignment with StrongMind’s core values Kindness Accountability Collaboration Innovation and Grit
Nice to have
- Collaborative
- Innovative
- Systems-minded
- Quality-focused
- Mentoring mindset
- Ambiguous environments
- Strategic thinker
Day to day
- Design, build, and operate AI-driven testing workflows using agents, automation, and orchestration to expand test coverage and accelerate feedback
- Develop and maintain an end-to-end regression strategy with test prioritization risk-based coverage and suite maintainability
- Partner with Release to define testing procedures quality gates exit criteria and go/no-go recommendations for production readiness
- Optimize regression testing through intelligent test selection parallelization flaky-test remediation and risk-based coverage
- Collaborate with Product and Engineering teams to improve testability failure observability and signal-to-noise within CI/CD pipelines
- Analyze release risk failure patterns and escaped defects to identify opportunities for additional automation and prevention
- Establish and promote shared QA standards test-design practices and regression strategies across product teams
- Use AI tooling thoughtfully by prompting evaluating and governing agentic test generation and triage to ensure results remain accurate and trustworthy
- Mentor QA peers and help engineering teams adopt modern testing and quality practices
- Participate in release readiness reviews and post-incident learning sessions to strengthen future prevention
