Software Engineer, Gov Tech

Lyft Lyft · Consumer · Seattle, WA · Global Growth Tech

Software Engineer for Lyft's Govtech team, focusing on features for new market entry, regulatory compliance, and AI-enhanced user experience. Responsibilities include roadmap/architecture, coding, leading projects, and collaborating with cross-functional teams. Requires 3+ years of software engineering experience, distributed systems knowledge, and cloud platform experience. Machine learning/LLM application experience is preferred.

What you'd actually do

  1. Help establish roadmap and architecture based on technology and understanding of customer needs
  2. Write well-crafted, well-tested, readable, maintainable code
  3. Can help lead large projects from idea to positive execution
  4. Unblock, support and communicate with external and internal partners to achieve results
  5. Participate in code reviews to ensure code quality and distribute knowledge

Skills

Required

  • 3+ years of software engineering experience with high-level programming languages
  • Strong background in distributed systems
  • proficient in relational or NoSQL databases
  • Proven experience in designing, debugging, and managing fault-tolerant, highly available, large-scale distributed systems
  • Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)

Nice to have

  • Python
  • Go
  • Experience with machine learning and building LLM applications
  • proficiency in AI tools

What the JD emphasized

  • Ownership is a key quality for this team
  • track a project to successful completion and beyond
  • taking initiative to work with other teams and functions
  • ensure the code they write reaches users and drives impact
  • developing a deep understanding of the customer
  • working closely with cross-functional partners from Product, Design, Science, and Operations
  • deliver significant business impact
  • collaborating with technical and nontechnical partners in a fast-moving space with real-world impact
  • Experience with machine learning and building LLM applications
  • proficiency in AI tools