Senior Software Engineer - Automation & Tooling

Overview

The Senior Software Engineer - Automation & Tooling designs, develops, and maintains automation frameworks, tools, and scripts to improve engineering efficiency, product quality, testing practices, and customer experience. The role provides technical leadership while remaining hands-on with production-grade code and partners across teams and pods on quality improvements.

What you'll do

• Design, develop, and maintain robust automation frameworks, tools, and scripts.
• Write production-grade code and contribute to the test automation ecosystem.
• Provide architectural input for automation solutions and ensure scalability and maintainability.
• Set coding standards for QA automation.
• Act as a go-to technical leader while contributing hands-on code.
• Partner with Product Managers, Engineering Managers, Engineers, QA Managers, and QA peers across multiple pods to identify quality challenges, share solutions, and drive org-wide improvements.
• Identify gaps in QA processes and tooling and implement solutions to improve testing practices.
• Drive the evaluation, adoption, and integration of new technologies, frameworks, and methodologies within the Automation & Tooling team.
• Own complex quality issues across pods, facilitate discussions and workshops, and implement long-term solutions.
• Mentor junior engineers and QA peers in automation best practices.
• Run knowledge-sharing sessions across the organization.
• Track and analyze QA-related KPIs, use data to identify improvements, and report progress on automation and quality initiatives.
• Align QA automation strategies with end-user needs to support test coverage and quality improvements.

What you'll need

• Bachelor’s degree in computer science, Engineering, or equivalent experience.
• 8+ years in Quality Engineering or Software Development, with strong emphasis on test automation and tooling.
• Strong software engineering background with proven coding expertise.
• Python required.
• Demonstrated ability to architect and maintain automation frameworks at scale.
• Experience integrating automation into CI/CD pipelines and modern DevOps environments.
• Track record of contributing strategically through process and tooling improvements and technically through hands-on coding.
• Experience mentoring engineers and influencing QA practices across teams or pods.
• Excellent coding and debugging skills and a strong grasp of software engineering principles.
• Ability to design and document complex automation frameworks and tools.
• Strong problem-solving, analytical, and architectural skills.
• Excellent communication and interpersonal abilities, with the ability to influence without direct authority.
• Knowledge of Agile and DevOps methodologies.

Nice to have

• Java, JavaScript, or similar languages.
• Hands-on experience developing AI-powered applications, especially using RAG architectures for knowledge retrieval and augmentation.
• Familiarity with LangChain or similar frameworks for building LLM-powered workflows.
• Experience with Model Context Protocols (MCPs) or related agent orchestration approaches.
• Strong Python skills with modern ML/AI libraries, such as Hugging Face, OpenAI API, and Llama Index.
• Experience applying AI in QA/automation contexts, such as intelligent test generation, anomaly detection, and defect classification.
• Understanding of MLOps practices, including model deployment, monitoring, versioning, and integration with CI/CD.
• Awareness of ethical AI practices, including bias, explainability, and model governance.

Details

• Location: Bangalore, India.