Top 216441 Applications Programmer, Lead Jobs

AI Enabled QA Automation Lead
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AI Enabled QA Automation Lead

Indexnine Technologies
Wilmington, DE

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Job Details

Benefits

Unlimited paid time off
Dental insurance
Vision insurance
Flexible schedule

Qualifications

Computer science
Bug Tracking (Quality assurance practices)
Tooling
Team leadership
IT quality control
Data structures
Agile scheduling
Bug Reporting (Quality assurance practices)
Algorithms
Software quality assurance team management
Collaboration with product development teams
Leading team collaboration initiatives
Agile software development
DevOps automation
Agile planning

Full Job Description

Why Indexnine?

We believe that great people build great products. That’s why we’ve created an environment where talent thrives.

Health & Wellness

Comprehensive health, dental, and vision insurance, plus wellness programs and mental health support.

Work-Life Balance

Flexible working hours, remote work options, and unlimited PTO to maintain a healthy work-life balance.

Professional Growth

Continuous learning opportunities, conference attendance, and skill development programs.

Collaborative Culture

Work with talented, passionate people in an inclusive and supportive environment.

Competitive Compensation

Competitive salaries, equity participation, and performance-based bonuses.

Innovation & Impact

Innovation-driven projects with new technologies, open-source contributions, and real-world impact.

Location: Pune, India

We are looking for a AI Enabled Quality Automation Lead to drive end-to-end testing strategy, build scalable automation frameworks, and lead QA teams responsible for delivering reliable software products.

This role is designed for an experienced quality automation professional with strong foundations in automation architecture, software testing practices, coding, and agile product delivery.

You will work closely with engineering teams, product teams, and customer stakeholders to integrate quality across the complete software development lifecycle. The role requires technical depth, hands-on automation experience, and the ability to guide teams in solving complex quality challenges.

At Indexnine, we are building an AI-first engineering culture where quality engineering goes beyond traditional testing. You will use AI tools, automation, and engineering practices to accelerate test creation, improve coverage, analyze software quality, and validate modern AI-enabled applications.

Responsibilities:

Quality Engineering & Test Strategy

Define testing strategy, scope, quality standards, and risk-based testing approaches aligned with product objectives.
Establish strong quality practices across all phases of the software development lifecycle.
Lead functional testing, integration testing, regression testing, and release validation activities.
Maintain test documentation, quality metrics, execution reports, and defect analysis insights.
Monitor engineering quality indicators including defect leakage, automation coverage, regression coverage, and release readiness.
Establish quality gates and continuous improvement practices to improve software reliability.

Test Automation

Design and build scalable automation frameworks aligned with application architecture and engineering practices.
Develop and maintain automation suites integrated with CI/CD workflows.
Review automation code and establish engineering standards for test development.
Improve automation coverage across UI, API, functional, and regression testing layers.
Build reusable automation components, testing utilities, and quality accelerators.

Product & Engineering Collaboration

Participate in requirement analysis, architecture discussions, and design reviews to identify quality considerations early.
Collaborate with product teams during MVP planning, backlog prioritization, and roadmap discussions.
Work with engineering teams to improve testability, maintainability, and overall product quality.
Identify opportunities to improve engineering efficiency through automation and AI-enabled solutions.

Agile Delivery & Project Leadership

Convert product requirements into clear test scenarios, acceptance criteria, and validation plans.
Lead testing activities across sprint planning, backlog refinement, execution, and releases.
Track delivery progress, identify risks early, and communicate quality status to stakeholders.
Monitor sprint health, defect trends, testing effectiveness, and release quality metrics.

Team Leadership & Mentorship

Lead QA teams with ownership across planning, execution, and delivery outcomes.
Mentor engineers on automation practices, test design, debugging approaches, and engineering fundamentals.
Build a team culture focused on accountability, technical growth, collaboration, and continuous improvement.

AI-Enabled Testing & Engineering

Apply AI tools to accelerate test design, automation development, defect analysis, and engineering productivity.
Evaluate and adopt AI-assisted testing platforms and developer productivity tools.
Build scripts, workflows, and AI agents to improve testing efficiency and coverage.
Analyze code quality reports using tools such as SonarQube and drive quality improvements.
Define validation approaches for AI-enabled systems and review AI-generated code outputs.

Qualification:

7+ years of experience in software testing, automation, and quality engineering.
Strong experience defining test strategies and leading quality initiatives for software products.
Hands-on expertise in designing automation frameworks integrated with CI/CD pipelines.
Strong programming skills using languages such as Python, Java, JavaScript, TypeScript, or similar technologies.
Solid understanding of computer science fundamentals including data structures, algorithms, and system design concepts.
Experience with test management and defect tracking platforms such as Jira, Zephyr, TestRail, or Azure DevOps.
Strong understanding of Agile delivery practices and sprint-based execution.
Experience leading QA teams and collaborating with product, engineering, and customer stakeholders.
Ability to measure and improve quality using metrics such as defect leakage, automation coverage, and regression coverage.
Exposure to AI-assisted development, testing platforms, or code quality analysis tools.

Preferred Technology Stack:

Automation & Testing

Selenium, Playwright, Cypress, Appium, Rest Assured

Programming Languages

Python, Robot Framework, JavaScript, TypeScript

API Testing

Postman, REST Assured, SOAP UI

CI/CD & DevOps

Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps

Test Management

Jira, Zephyr, TestRail, Azure DevOps

Performance Engineering

JMeter, LoadRunner

Code Quality & Security

SonarQube, Checkmarx

Cloud & Infrastructure

AWS, Azure, Docker, Kubernetes

Version Control

Git, Bitbucket

AI Engineering Tools

- GitHub Copilot, ChatGPT, AI-assisted testing platforms, and modern AI productivity tools

Apply Now

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