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

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned w