Job Summary

We are looking for a highly technical SDET who functions as a "Developer first," with a specialty in quality engineering. This role is not just about writing test scripts; it’s about building software to test software. You will leverage Generative AI tools to accelerate the development lifecycle and architect core system components that enhance the reliability of our cloud infrastructure

Job Requirements

• Software Development: Design and implement internal tools, test harnesses, and microservices using clean code principles. You will actively participate in the development of product features to ensure they are architected for testability from day one.
• GenAI-Driven Automation: Integrate LLMs (e.g., GPT, Claude) into the testing workflow to autonomously generate complex test cases, synthetic data, and self-healing automation scripts.
• Cloud Infrastructure & Tools: Build and maintain cloud-native testing infrastructure on AWS/Azure/GCP using Infrastructure as Code (IaC) like Terraform or CloudFormation.
• DevOps & Pipeline Architecture: Architect advanced CI/CD pipelines that include AI-powered risk assessment and automated quality gates.
• Code Quality Leadership: Conduct deep-dive code reviews, identify architectural bottlenecks, and mentor junior engineers on **Object-Oriented Design (OOD)**and Data Structures (DSA).
• **Software Engineering:**5+ years of experience in core development using Java,Python, or Go, with a focus on building scalable backend services.
• GenAI Expertise: Hands-on experience with Prompt Engineering,Lang Chain, or Llama Index to build RAG-based internal tools or automated evaluators.
• AI Copilot Proficiency: Expert use of AI-assisted coding tools (e.g.,GitHub Copilot,Cursor) to speed up code delivery and refactoring.
• System Design: Strong understanding of distributed systems, load balancing, and cloud-native databases (SQL/NoSQL)

Education

• Bachelor's degree in Computer Science or a related field.
• 4-8 years of professional experience in software development.