Role & responsibilities

Job Title: Senior Automation Engineer AI & Developer Productivity

Experience: 6–8 Years

Location: Bangalore

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We are looking for a strong Automation/SDET Engineer with solid programming and software engineering skills to build internal tools, automation frameworks, developer productivity solutions, and AI-assisted engineering platforms.

The ideal candidate should be a hands-on builder who can independently design and develop practical automation solutions, leverage modern AI/LLM tools, and solve complex engineering productivity problems. This is not a traditional QA-only role.

Key Responsibilities:
Design and develop scalable automation frameworks and internal engineering tools.
Build automation solutions that improve developer productivity and engineering workflows.
Develop and maintain UI, API, regression, and end-to-end automation.
Work with Playwright, Cypress, Selenium, Pytest, Robot Framework, and Postman.
Develop automation scripts and utilities using Python or similar programming languages.
Leverage AI tools, LLMs, AI agents, prompt-driven development, and AI-assisted coding to accelerate engineering activities.
Create and maintain CI/CD automation using Jenkins, GitHub Actions, or similar tools.
Build solutions for test execution,



release validation, reporting, trace/log analysis, and engineering workflow automation.
Collaborate with developers and engineering teams to identify repetitive tasks and automate them.
Work with APIs, cloud-native environments, Kubernetes, observability tools, and contemporary DevOps practices.
Independently handle ambiguous problems and deliver usable tools/frameworks.

Must-Have Skills:
6–8 years of software/automation engineering experience.
Robust hands-on programming experience, preferably Python.
Strong experience in Playwright / Cypress / Selenium.
Experience with Pytest / Robot Framework.
API testing/automation using Postman or equivalent tools.
Solid understanding of automation framework design and development.
Experience with CI/CD pipelines – Jenkins, GitHub Actions, or similar.
Practical exposure to AI tools, LLMs, AI-assisted development, or AI agents.
Strong problem-solving and engineering mindset.

Good to Have:
Kubernetes / Docker
Cloud platforms
Observability and monitoring tools
Performance testing
Log and trace analysis
Reporting dashboards
REST APIs
DevOps practices
Developer productivity platforms

📌 Senior Automation Engineer Ai & Developer Productivity Bengaluru (India)
🏢 Cerebra
📍 India