Senior SDET

Senior SDET – AI-Driven Quality Engineering 

Full-Time  •  Engineering  •  Quality  •  AI & Automation 

Location - Bangalore (Onsite)

Exp - 5 - 7 Years

We are looking for a Senior SDET who brings together deep automation expertise and a forward-looking AI-first mindset to redefine how quality is built into our products. You will lead the charge in adopting AI-powered testing tools, intelligent defect analysis, and autonomous test generation — while remaining the quality champion your team relies on. 

1. Job Roles and Responsibilities 

• Champion an AI-first testing culture — proactively identify 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 QA engineers 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, regression, integration, end-to-end, and performance 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 (Playwright/Cypress/Selenium) 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. 

2. Job Requirements 

• 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, similar. 

• Familiarity with using LLMs or AI assistants (ChatGPT, Claude, Copilot, etc.) to accelerate test authoring, code review, or defect analysis. 

• Experience with self-healing test frameworks or AI-driven test maintenance strategies is a strong plus. 

• Understanding of TDD, BDD, and ATDD techniques; experience integrating these 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.