The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
Set the technical vision and strategy for a rapidly evolving product area,: making high-judgment calls on architecture and technology direction
Drive the adoption of AI and machine learning solutions to optimize customer: support workflows and enhance operational efficiency across the platform.
Lead a team of talented engineers who ship code and tackle hard engineering: problems, maintaining a high bar for technical excellence
Translate high-level business goals into actionable engineering projects. Own: the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks.
Drive the responsible adoption of AI development tools across engineering: teams - modeling effective use, establishing best practices, and mentoring engineers to improve productivity without compromising code quality or security.
Champion improvements in system, observability, performance, and tech debt: reduction, extending your influence beyond your immediate team.
What they're looking for
- Establish best practices for deployment, alerting, and on-call health. Take: holistic ownership of the platform's stability, tracking down issue root causes and building preventive safeguards for your immediate scope and beyond.
- Drive alignment across product, design, and operations. Proactively resolve: bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities.
- Mentor and level up the engineers around you. Delegate stretch opportunities,: lead cross-team reviews, and foster a culture of strong technical excellence.
- + years of software engineering industry experience with a track record of: architecting and delivering large-scale backend systems in production
