Quality Assurance Automation Engineer

Responsibilities

• Design, build, and maintain scalable automation frameworks for UI, API, integration, regression, and smoke testing
• Build automated validation coverage for backend services, APIs, and end-to-end workflows that support CS Tech experiences
• Own critical-path UI automation for key agent and support workflows, while keeping the majority of coverage at the API and integration layers for speed, maintainability, and signal quality
• Integrate automated tests into CI/CD pipelines and release quality gates to improve deployment safety and release confidence
• Partner with software engineers, product managers, QE, and platform teams to define practical test strategy early in the delivery lifecycle
• Debug failures and product issues across UI interactions, network calls, APIs, integration points, and dependent services
• Improve test reliability, suite execution time, and automation maintainability through strong engineering practices and reusable tooling
• Support release validation, defect prevention, and root-cause analysis for complex quality and production issues

• sBS/MS in Computer Science, Engineering, or equivalent practical experience
• 4–7 years of experience in test automation, quality engineering, SDET, software engineering, or related areas with strong automation ownership
• Strong experience testing backend APIs and services, including request/response validation, integration validation, and service-level regression coverage
• Strong experience building or maintaining UI automation for modern web applications and validating frontend-to-backend integration flows
• Experience developing automation frameworks and integrating them into CI/CD and release workflows
• Strong understanding of integration testing, regression strategy, smoke coverage, and release validation approaches
• Strong debugging and troubleshooting capability across distributed systems, services, and UI/API interactions
• Experience working in Agile development environments with Git-based workflows, code reviews, and cross-functional engineering collaboration

• Experience with customer support systems, workflow orchestration, enterprise integrations, or internal tools used by operations / agent teams
• Experience with cloud-native systems, Kubernetes, Docker, and distributed environments
• Familiarity with observability platforms and diagnostics using logs, metrics, traces, and alerting
• Experience with nonfunctional, reliability, or operational validation in addition to functional automation
• Experience with AI-assisted development, test generation, or intelligent automation tooling is a plus

• Builds scalable automation that improves release quality and reduces manual validation effort
• Improves deployment safety through automated quality gates and reliable release verification
• Creates strong test coverage across APIs, integration points, and critical UI paths without over-indexing on brittle end-to-end suites
• Demonstrates strong ownership, pragmatic engineering judgment, and cross-team collaboration
• Helps engineering teams ship faster and more safely by improving automation quality, signal clarity, and operational confidence