Build and maintain automated tests for cloud-native services: API/contract tests, and end-to-end workflow tests.
Integrate automated tests into CI/CD pipelines.
Perform functional, regression, integration, performance and system-level testing.
Validate non-functional requirements: performance, resiliency/failure modes, and observability-driven debugging (logs/metrics/traces)
Conduct exploratory and scenario-based testing focused on real-world workflows.
Validate usability, workflow consistency, and overall user experience.
Help evolve scenario-based regression suites for AI-integrated workflows (multi-step tasks, tool calls, retrieval-backed behaviors)
Curate and maintain “golden” datasets (test cases, expected behaviors, labels/metadata)
AI-assisted delivery: Utilize AI coding agents to accelerate delivery of tests and automation.
Publish results to dashboards and establish alerting for failures/regressions
Participate in code reviews and provide constructive feedback to peers
Participate in team development process, including daily scrum, planning, code reviews, and advocate for quality and user experience within the team
Stay current with industry trends and best practices in software and ML development. Function well in a fast-paced, rapidly-changing environment.

5+ years of professional experience in software development specifically as a QA Engineer
BS or MS in Computer Science or related technical field
Previous experience designing testing automation for delivery of modern web/cloud applications
Proven verification habits: test design, CI hygiene, disciplined incremental delivery, and strong debugging skills
Strong programming skills in Python, C#, and/or TypeScript/Java
Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.
Experience with Continuous Integration, Continuous Delivery, DevOps, etc
Experience in working in an Agile environment

Senior QA Engineer – Computation Design, Automation

Key skills