Principal Software Automation/test Engineer

• Architect Next-Gen Platforms: Lead the design of tooling platforms and comprehensive strategies for complex, large-scale systems
• Drive AI-Powered Automation: Leverage AI to design intelligent tools that enhance testing efficiency, code quality, and productivity across the organization
• Build Agentic Workflows: Integrate LLM-powered assistants and agentic workflows to automate repetitive tasks like test case creation, log analysis, and code review triage
• Operationalize Emerging Tech: Evaluate and adopt technologies such as Retrieval-Augmented Generation (RAG) and fine-tuned models to push the boundaries of engineering automation
• Establish AI Guardrails: Define best practices for responsible AI usage, including hallucination mitigation and human-in-the-loop review processes
• Enhance Developer Experience: Design and implement internal tools, SDKs, and frameworks to boost engineering velocity and productivity
• Advanced Framework Development: Build robust automation frameworks equipped with detailed reporting, observability, and seamless CI/CD integration
• Cloud-Native Environments: Manage complex testbeds and infrastructure-as-code solutions to support varied development and testing scenarios
• Predictive Analytics: Develop AI-driven defect prediction and root cause analysis tools to accelerate the QA lifecycle
• Influence Strategy: Provide insights into engineering efficiency and tooling gaps to influence the development of cutting-edge solutions
• Systemic Problem Solving: Guide root cause analysis of complex tooling failures and infrastructure incidents during and after releases
• Lead by Example: Mentor junior and mid-level engineers, fostering a culture of ownership and engineering excellence
• Build the Team: Actively participate in the hiring process and technical interviews to help build a world-class tools engineering organization

• 9+ years in software tooling or infrastructure engineering within large-scale enterprises or high-growth startups
• Strong programming skills in Python
• Proven experience leveraging AI/ML technologies (LLMs, agentic frameworks, prompt engineering) to build intelligent engineering tools
• Deep understanding of public cloud platforms (AWS, GCP, Azure) and building tools that leverage cloud-native services
• Demonstrated experience designing complex tooling frameworks from scratch with a focus on scalability and extensibility
• Proficiency in integrating technologies such as Pytest, Selenium, Playwright, Terraform, Docker, and Kubernetes
• Strong troubleshooting skills and experience supporting tooling for distributed systems and SaaS-based products
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field

Experience in cloud security or an equivalent relevant domain is advantageous

• restricted stock units
• bonus