Automation with AI Test engineers

LTM; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

LTM in Bengaluru is seeking a Senior Automation Engineer to own the automation ecosystem, design robust test strategies, and lead AI-driven workflows to accelerate development and improve code quality.

You will balance hands-on technical work with architectural oversight of AI-assisted development, building scalable frameworks for web service testing and collaborating across DevOps and QA teams.

Qualifications

• 5+ years hands-on automation engineering experience.
• Experience using AI agents to accelerate code generation and debugging.
• Proven web service/API automation and white-box testing.

Responsibilities

• AI-Driven Engineering & Innovation: translate requirements into scaffolded code with AI agents.
• AI Governance: define codebase conventions and framework patterns for AI agents.
• Quality Oversight: review AI-generated code for correctness and architecture.
• Automation Development & Strategy: build scalable automation frameworks for API testing.
• Testing, Debugging, & Performance: own features end-to-end and perform performance testing.
• Cloud, CI/CD, & Collaboration: deploy in cloud and manage CI/CD pipelines.

Skills

Automation engineering

Java

Groovy

Playwright

Selenium

TestNG

Jenkins

Maven

Git

AWS

Azure

Linux

Tools

Jenkins

Maven

Git

Job description

Role Overview

We are seeking a highly skilled Senior Automation Engineer to take ownership of our automation ecosystem. The ideal candidate will design robust test strategies and spearhead the integration of AI-driven workflows to accelerate development, improve code quality, and increase the velocity of our CI/CD pipelines. You will serve as a force multiplier for the team, balancing deep technical execution with the architectural oversight of AI-assisted development.

Role Description

Role Overview

We are seeking a highly skilled Senior Automation Engineer to take ownership of our automation ecosystem. The ideal candidate will design robust test strategies and spearhead the integration of AI-driven workflows to accelerate development, improve code quality, and increase the velocity of our CI/CD pipelines. You will serve as a force multiplier for the team, balancing deep technical execution with the architectural oversight of AI-assisted development.

Success Metrics

Success in this role will be defined by a measurable reduction in software delivery cycle time and a consistent increase in automated test coverage across our core services, ultimately enhancing the reliability and release velocity of the product.

Required Experience

• 5+ years of hands‑on experience in automation engineering.
• AI Agent Tooling: Proven, hands‑on experience utilizing AI agents such as Devin and Codex to accelerate code generation, complex refactoring, and automated debugging cycles.
• Proven expertise in web service/API automation and white‑box testing.
• Demonstrated ability to work independently in a fast‑paced environment.

Technical Skills

• Languages: Strong proficiency in Java and Groovy.
• Frameworks: Playwright (preferred) or Selenium; TestNG.
• CI/CD & DevOps: Deep familiarity with Jenkins, Maven, and Git.
• Cloud: Experience with AWS or Azure.
• OS: Proficient in Linux‑based environments.

Key Competencies

• Analytical Rigor: Excellent debugging skills for complex system issues.
• Time Management: Ability to prioritize effectively to "automate at the speed of development."
• Proactive Learning: A commitment to staying at the forefront of emerging tools and technologies.
• Communication: Clear, concise communication to explain complex automation strategies to technical and non‑technical stakeholders.

Key Responsibilities

• AI-Driven Engineering & Innovation
• AI Collaboration: Partner with AI coding agents to accelerate test development by translating requirements into scaffolded code, navigating complex codebases, and iterating through rapid debug cycles.
• AI Governance: Author and maintain "AI Skill Guides" that define codebase conventions, reusable utility libraries, and established framework patterns for AI agents to follow.
• Quality Oversight: Review all AI-generated code for correctness, domain accuracy, and architectural alignment with existing systems.
• Domain Expertise: Leverage AI for boilerplate generation and iterative debugging, providing the critical human context, design decisions, and risk assessments that models cannot infer independently.
• Impact Reporting: Audit and refine AI-generated impact reports and test cases, ensuring comprehensive coverage and challenging risk ratings where necessary.
• Strategic Mindset: Utilize AI as a force multiplier, ensuring it remains an accelerator for high‑quality outcomes rather than a substitute for sound engineering judgment.
• Automation Development & Strategy
• Develop and maintain scalable automation frameworks for web service/API testing and non‑UI systems.
• Author, execute, and evolve manual test plans into robust, reusable automated test suites.
• Build custom internal tools to bridge gaps in DevOps processes and optimize development pipelines.
• Testing, Debugging, & Performance
• Own features end‑to‑end; identify and resolve failures stemming from coding errors, environment instability, or application bugs.
• Execute performance testing initiatives using tools such as Apache JMeter or LoadRunner to ensure system resilience.Maintain accurate test reporting, including coverage metrics, pass/fail trends, and defect analysis.
• Cloud, CI/CD, & Collaboration
• Deploy and test applications in cloud environments (AWS/Azure) with a focus on automated infrastructure.
• Manage and support CI/CD environments (Jenkins) to ensure reliable, high‑speed build‑to‑deployment cycles.
• Collaborate with cross‑functional teams (Development, QA, DevOps) to align automation efforts with the broader product lifecycle.