Principal Software Engineer - Moveworks

What you’ll do:

 

• Technical Architecture & Strategy Define and own the long-term technical architecture, making critical build vs. buy decisions to ensure systems remain resilient as the platform scales 10x
• Platform & Infrastructure Design and build core infrastructure services and microservices that serve machine learning, frontend, and platform teams
• Business Alignment Align technical architecture with business goals, ensuring engineering velocity, system reliability, and infrastructure costs directly support customer acquisition, retention, and time-to-market
• Hands-on Engineering Write high-performance, clean, and maintainable production-grade code across the stack (K8s, Python, Golang, Postgres etc.)
• Cross-functional Execution Drive and deliver business-critical engineering outcomes in close collaboration with cross-functional engineering teams
• Engineering Culture Mentor senior engineers, champion engineering excellence, and foster a culture of rapid, impact-driven innovation
• Ownership & Initiative Identify critical system and business gaps proactively, propose solutions, align stakeholders, and drive execution with a high degree of ownership

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 
• Experience 15+ years of software engineering experience with a demonstrated progression into Principal or Sr. Staff Engineer capacity at a high-growth tech company or top-tier AI lab
• Technical Proficiency Strong hands-on coding ability with deep design thinking, capable of driving both code-level execution and system-level architecture decisions. Proficiency in any programming language with ability to adapt — K8s, Python, Golang, Postgres and data lakes preferred
• Distributed Systems Proven experience in distributed systems — performance, scalability, latency, optimization, and monitoring
• Commercial Mindset Demonstrated ability to connect engineering decisions to business outcomes such as latency improvements, driving margin efficiency, and enabling rapid product feature launches
• High Agency Self-driven with strong ownership, ability to identify system and business gaps, propose solutions, align stakeholders, and execute at startup pace
• Product & AI Mindset Experience integrating or evaluating AI tools and workflows in engineering processes and decision-making

Good to Have

• Open Source Contributions to major open-source AI or infrastructure projects
• Startup Experience Prior experience working closely with Product and Growth teams in an early-stage startup environment