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Open nowPosted 14 days ago

Sr. SDET

Automation Anywhere33 open roles

Where
Bengaluru, India
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Your applicationOpen nowSr. SDETAutomation Anywhere · Bengaluru, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Automation Anywhere's own form.

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Automation Anywhere postings stay open a median of 25 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 14 days ago

Automation Anywhere median: 25 days open

The posting

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.

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