Staff Automation Engineer

Key Responsibilities

• Design and build automation solutions and internal tools to streamline delivery workflows and reduce manual effort across implementation and engineering teams
• Own and drive refactoring and modernization of existing systems to improve scalability, maintainability, and performance
• Identify high-effort, repetitive processes in delivery and engineering workflows and convert them into reusable, scalable solutions
• Arcitect and develop backend services, APIs, and data workflows supporting automation and platform capabilities
• Lead resolution of complex production issues, performing deep root-cause analysis and implementing systemic, long-term fixes
• Build and maintain data pipelines and processing systems to support automation, analytics, and intelligent workflows
• Integrate AI/LLM-based capabilities where relevant to enhance automation, troubleshooting, and developer productivity
• Ensure high standards of code quality, security, testing, and reliability across systems
• Collaborate cross-functionally with Product, Engineering, and Delivery stakeholders to drive adoption of automation solutions
• Mentor engineers and promote best practices in code quality, system design, and scalable engineering patterns

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 8+ years of experience in software engineering with a focus on backend systems, automation, or platform/tool development
• Strong proficiency in Python (or similar language) and SQL
• Proven experience building automation tools, internal platforms, or developer productivity solutions
• Strong experience in code refactoring, system optimization, and improving legacy codebases
• Deep expertise in debugging, troubleshooting, and performance tuning of production systems
• Experience designing and working with APIs, microservices, and distributed systems
• Solid understanding of software development lifecycle (SDLC) and engineering best practices
• Experience working in Agile/Scrum environments
• Strong problem-solving mindset with focus on efficiency, simplification, and scalability