Sr. SDET

Full-time
Bengaluru, Indiavia Automation Anywhere CareersPosted Oct 23, 2026
Match with my CV

Technical skills

TypeScriptJavaScriptPythonJavaAPI developmentData analysisCI/CDDevOpsSREQuality Assurance

About Us

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance.

Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Senior SDET – AI-Driven Quality Engineering

Full-Time • Engineering • Quality • AI & Automation

Location : Bangalore / Hyderabad

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, developers 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 & 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.
  • Candidates who bring hands-on experience with RAG-based conversational AI and have tested conversational bots with automated frameworks that validate multi-turn flows across intent recognition, context retention, response accuracy, and end-to-end workflow validations will be a compelling fit for this role.

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 TDD, BDD, and ATDD techniques & integrating it 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.
  • All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

Before you apply

  • 1Which parts of your CV prove experience with TypeScript, JavaScript, and Python?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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