Principal Software Engineer - Moveworks

Job description

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

Qualifications

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