Software Development Engineer in Test (API, UI & Agentic Systems)

Passion for engineering quality rather than simply executing test cases.

Strong analytical and debugging skills.

Ability to drive automation strategy and influence engineering practices.

Growth mindset with curiosity to explore emerging AI technologies.

Excellent collaboration and communication skills.

Ability to thrive in a fast-paced, innovation-driven environment.

Design and develop reusable automation frameworks for:

REST and GraphQL APIs

Modern web applications and user interfaces

AI-powered applications and agentic workflows

Build scalable test infrastructure that supports functional, integration, regression, performance, and end-to-end testing.

Create automated validation mechanisms for LLM-based systems, AI agents, multi-agent workflows, and Retrieval-Augmented Generation (RAG) applications.

Integrate automation into CI/CD pipelines to enable continuous quality validation.

Partner with developers and architects to establish shift-left testing practices and improve testability.

Define quality metrics, coverage goals, and automation standards across teams.

Investigate production issues, identify automation gaps, and improve test effectiveness.

Contribute to the adoption of AI-assisted testing techniques and intelligent test generation.

Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.

IC - Typically requires a minimum of 4+ years of related experience.

Experience in storage, cloud infrastructure, data management, or enterprise platforms.

Exposure to AI-driven test generation and autonomous testing solutions.

Contributions to open-source testing frameworks or developer tooling.