Sr Software Development Engineer

As a Senior Software Development Engineer bridges software development and quality assurance, writing code to build automated test frameworks, validate complex system architectures, and lead quality strategy across engineering teams.

• AI-Driven Automation Infrastructure: Design, build, and scale end-to-end automated testing frameworks, integrating AI agents for autonomous test generation, maintenance, and self-healing suites.
• Framework Architecture: Develop and maintain scalable test tooling and infrastructure across backend APIs, distributed cloud architectures, and web/mobile interfaces.
• AI LLM Validation: Establish testing strategies for features powered by Large Language Models (LLMs), focusing on prompt regression, hallucination detection, bias evaluation, and determinism.
• Code Quality Reviews: Act as a technical subject matter expert (SME) for code hygiene, guiding design reviews, and evaluating testability and architectural health.
• Test Strategy Coverage: Define and drive test strategies spanning functional, regression, API, performance, load, contract, and chaos/resilience engineering.
• CI/CD Integration: Integrate automated test suites and infrastructure into continuous integration and deployment pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, GitLab)
• Debugging Root Cause Analysis: Investigate complex system failures, performance bottlenecks, race conditions, and production issues.
• Cross-Functional Collaboration: Partner with software developers, product managers, and DevOps teams to align acceptance criteria and improve system observability.
• Mentorship: Guide junior and mid-level engineers while advocating for a strong quality-first culture.

• Experience: Typically 5 to 9+ years of combined experience in software development, backend engineering, or specialized SDET/test engineering roles.
• Programming Languages: Proficiency in languages such as Python(highly preferred for AI workflows), Java, TypeScript.
• Automation Frameworks: Hands-on experience with modern tools like Playwright, Selenium, Cypress, or TestNG/JUnit.
• Cloud Distributed Systems: Familiarity with cloud platforms (AWS, GCP, Azure) and containerized or distributed stacks (Docker, Kubernetes, Kafka, Redis, Cassandra).
• Infrastructure Monitoring: Experience using observability and logging tools (e.g., Grafana, New Relic, Elasticsearch)

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.