Sr. SDET

Overview

Senior SDET role leading AI-driven quality engineering: championing AI-first testing, building intelligent automation frameworks, and acting as the team's quality champion.

What you'll do

• Champion an AI-first testing culture, proactively identifying opportunities to integrate AI/ML-powered tools into test design, execution, maintenance, and defect analysis.
• Use AI-assisted tools to accelerate test authoring, improve coverage, and reduce manual effort in test script maintenance.
• Apply AI-driven visual testing and self-healing automation techniques to reduce flakiness and keep test suites resilient across rapid UI changes.
• Leverage large language models (LLMs) and AI assistants to generate test cases from requirements, user stories, and acceptance criteria, then validate, refine, and own the output.
• Implement AI-augmented log and anomaly analysis to proactively identify patterns that precede failures in production or staging environments.
• Quickly gain a deep understanding of the solution domain; analyze customer-reported defects and implement automation strategies, powered by AI where applicable, to prevent recurrence.
• Be the first customer to the product and its documentation; provide feedback from the customer's perspective and act as the quality champion for the team.
• Collaborate with product managers, developers, UX/UI designers, and SDETs to understand functionality, identify test scenarios, and ensure comprehensive coverage.
• Review all backend and engineering stories assigned, assess impact, and define test coverage with an AI-assisted risk-based approach.
• Perform functional, integration, end-to-end, performance and regression testing across all release phases, augmented by AI-driven test selection and prioritization.
• Set up, maintain, and evolve test automation frameworks across Web, Desktop, and Mobile, incorporating AI capabilities for smarter execution and maintenance.
• Write and maintain automation code for front-end and back-end testing; apply AI tools to assist in debugging, refactoring, and coverage gap analysis.
• Build automation for customer use-case scenarios and customer-reported defects; use AI-generated scenario suggestions to expand coverage beyond manual thinking.
• Contribute actively to API/integration testing, UI automation, TDD, ATDD, and code quality tooling, using AI to boost throughput at every layer.
• Diagnose and resolve CI/CD pipeline issues; apply AI-based observability tools to detect and predict build instability.
• Perform database querying and log analysis for root cause investigation; use AI-assisted analysis where available to speed up triage.
• Share knowledge with the team through workshops and learning sessions focused on AI tools, testing innovation, and SDET skill development.
• Continuously evaluate and introduce new AI-powered testing tools and methodologies; advocate for adoption across the team.
• Contribute to initiatives that improve team processes, tooling, and product quality, with a bias toward intelligent automation over manual toil.
• Maintain clear documentation of test strategies, automation processes, and AI tooling decisions to ensure knowledge is accessible and transferable.

What you'll need

• Bachelor's degree in computer science, computer engineering, or related field.
• Minimum 5–7 years of experience in SDET or quality engineering roles, with demonstrable exposure to AI-assisted testing or tooling.
• Strong understanding of SDLC, STLC, and modern software testing methodologies.
• Proficiency in Java, Python and/or JavaScript/TypeScript; ability to write, review, and debug automation code at scale.
• Hands-on experience with Playwright/Selenium for UI and API testing.
• Practical experience with one or more AI-powered testing tools, such as GitHub Copilot, Claude, or similar.
• Familiarity with using LLMs or AI assistants (ChatGPT, Claude, Copilot, etc.) to accelerate test authoring, code review, or defect analysis.
• Understanding of TDD, BDD, and ATDD techniques and integrating them into CI/CD pipelines.
• Working knowledge of database querying and log/anomaly analysis, including AI-assisted observability platforms.
• Experience with CI/CD pipelines and the ability to triage, stabilize, and improve build and deployment workflows.
• Ability to critically evaluate AI-generated test output, validating, refining, and taking ownership rather than accepting it at face value.
• Knows when to ask for help, communicates clearly across technical and non-technical stakeholders, and documents AI tool decisions transparently.
• Problem-solving mindset with the ability to debug complex issues in both handwritten and AI-generated automation code.
• Excellent written and verbal communication skills.
• Collaborative team player who leads by example in driving a culture of quality, innovation, and continuous improvement.

Nice to have

• Experience with self-healing test frameworks or AI-driven test maintenance strategies.
• Hands-on experience with RAG-based conversational AI, and having tested conversational bots with automated frameworks that validate multi-turn flows across intent recognition, context retention, response accuracy, and end-to-end workflow validations.

Details

• Full-time, Engineering, Quality, AI & Automation.
• Location: Bangalore / Hyderabad.