About the Job
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.
Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operatio...
The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Senior Software Engineer ...
Key Responsibilities
Write well-crafted, well-tested, readable, maintainable code
Participate in code reviews to ensure code quality and distribute knowledge
Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
Have the ability to explain the various trade offs made in decisions
Manage project priorities, deadlines, and deliverables.
Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution
Analyze our internal systems and processes and locate areas for improvement/automation
Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
Provide technical mentorship and feedback to junior engineers
Help establish roadmap and architecture based on technology and our needs
BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
5+ years of software engineering industry experience
Solid knowledge of distributed systems, relational and NoSQL databases
Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems
Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
Ability to work with a low-ego, highly collaborative, and cross-functional team
