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Tier-1 brand, remote role, and mid-level SDET profile increase candidate competition.
Security, cloud, and distributed systems expertise makes background fit highly sensitive.
Explicit 5+ years and extensive mandatory tech stack increase shortlisting strictness.
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Own the full QA cycle for software releases, including test plan development and execution for functional, integration, and end-to-end validations.
Develop, automate, and integrate tests using PyTest into CI/CD pipelines, and design scalable test automation frameworks across platforms.
Collaborate with R&D and Product teams on quality strategies and create innovative testing approaches, including AI-based tools, to enhance test efficiency and productivity.
At least 5 years of QA testing experience with a Bachelor's degree in Computer Science or equivalent.
Proficient in Python, shell scripting, SQL, REST API, and experienced with Kubernetes, GitHub Actions, ArgoWF, ArgoCD, Clickhouse, S3, Kafka, Terraform, Kibana, and Grafana.
Experience working with cloud platforms (AWS, GCP, Azure) and testing big data backend distributed systems.
Understanding of networking protocols, especially HTTP, HTTPS, DNS, and experience with AI tools such as Claude-code or Co-Pilot.
Experienced in end-to-end quality assurance for complex distributed and cloud-based systems with a security focus.
Strong technical ability in scripting and automation, with the capacity to design scalable test frameworks and integrate into CI/CD environments.
Innovative mindset toward applying AI and new technologies to improve testing productivity and collaboration with product and R&D teams in a fast-evolving tech environment.