Quality Engineer (Python)

• This role is ideal for someone passionate about ensuring high-quality software through robust testing, modern automation practices, and strong collaboration with developers.
• You will work on validating APIs, distributed systems, and data pipelines in a modern DevOps-driven environment.
• Key ResponsibilitiesDesign, build, and maintain automated tests for APIs, distributed systems, and data pipelines.
• Collaborate with developers to integrate testability into the early stages of feature development.
• Contribute to testing strategies across load, integration, system, and performance levels.
• Advocate for and implement observability best practices, including logging, monitoring, and alerting.
• Promote the consistent use of metrics, logs, alerts, and tracing for operational visibility and faster issue resolution.
• Collaborate on CI/CD pipelines to catch issues early in the development lifecycle.
• Develop and maintain clean, modular, and type-annotated Python code for automation frameworks.
• Required Technical SkillsProficient in Python programming, including unit testing with Pytest.
• Strong experience testing JSON-based RESTful APIs.
• Understanding of distributed systems and eventual consistency models.
• Basic experience with async programming: asyncio, threading, multiprocessing.
• Familiarity with Celery or other async job runners is a plus.
• Ability to write and analyze basic SQL queries.
• Foundational knowledge of networking protocols: TCP/IP, DNS, HTTP, subnetting.
• Exposure to cloud platforms such as AWS, GCP, or Oracle Cloud (OCI).
• Preferred QualificationsExperience with observability tools (e.
• G.
• , Prometheus, Grafana, ELK, Datadog).
• Previous work in CI/CD environments using tools like Jenkins, GitHub Actions, or GitLab CI.
• Strong communication skills and a collaborative mindset.
• Ability to work in an agile, fast-paced, and distributed team.

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