Lyft Logo

Lyft

Software Engineer

Reposted 9 Days Ago
Hybrid
San Francisco, CA, USA
136K-162K Annually
Entry level
Hybrid
San Francisco, CA, USA
136K-162K Annually
Entry level
Designs, builds, and integrates ride-experience platforms and microservices. Develops and improves APIs, performance, monitoring, testing, validation, and documentation. Troubleshoots application and platform issues, contributes to architecture and technology roadmaps, and manages project priorities, deadlines, and deliverables.
The summary above was generated by AI

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.

Responsibilities:
  • Responsible to help design, build, and integrate the platform that powers ride experience.
  • Assist with designing roadmaps and architecture based on the company’s rapidly progressing technology and business needs.
  • Improve and implement new microservices and improve quality, performance, and monitoring of the company’s microservice APIs.
  • Develop and direct software system testing and validation procedures, programming, and documentation.
  • Participate in identifying, triaging, debugging, and resolving issues and bugs across the company's various applications and platforms.
  • Manage project priorities, deadlines, and deliverables.
Experience:
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field.
  • 6 months of experience in job offered, software development, or related occupation.
  • At least 6 months of experience with object-oriented programming, machine learning, and AI.
  • At least 6 months of experience with web technologies, DynamoDB, and at least one of the following: C, C++, Java, Go, or Python.
  • Experience with frontend and backend languages, relational databases, and schema design.
  • Experience with data structures or algorithms.
Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $136,000 - $162,000/year. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. #LI-DNI

 

#LI-DNI

HQ

Lyft San Francisco, California, USA Office

185 Berry Street, San Francisco, CA, United States, 94107

Lyft Berkeley, California, USA Office

Berkeley, United States

Lyft Oakland, California, USA Office

Oakland, United States

Lyft Palo Alto, California, USA Office

Palo Alto, United States

Lyft Richmond, California, USA Office

Richmond, United States

Lyft San Jose, California, USA Office

San Jose, United States

Lyft Union City, California, USA Office

Union City, United States

Similar Jobs

Yesterday
Hybrid
Santa Clara, CA, USA
240K-420K Annually
Expert/Leader
240K-420K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Set technical direction for cloud-native platforms spanning Kubernetes, distributed systems, and hyperscaler infrastructure. Design architectures for multi-cloud topology, control planes, workload isolation, identity, reliability, and large-scale operations. Lead architectural decisions across engineering teams, mitigate technical risks, promote best practices, mentor senior engineers, and guide platform strategy for highly scalable, multi-cluster environments.
Top Skills: AksAWSAzureCniContainer NetworkingCrossplaneDistributed SystemsEksFedrampGCPGitopsGkeGoKata ContainersKubernetesMetricsMtlsObservabilityOciService MeshSpiffeSpireTracing
Yesterday
Hybrid
Santa Clara, CA, USA
126K-195K Annually
Mid level
126K-195K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain scalable backend applications for ServiceNow’s platform engineering team. Responsibilities include software design, Java development, reusable architecture, code reviews, unit testing, test automation, performance optimization, and product delivery. The role partners with developers and product owners to enhance existing products and create new features. Candidates should understand data structures, algorithms, object-oriented design, design patterns, web platforms, and AI-enabled productivity or workflow solutions.
Top Skills: AWSCursorJavaJavaScriptServicenowUnixWindsurf
Yesterday
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop highly scalable Java software for ServiceNow’s platform persistence systems. Manage data lifecycles, storage, retrieval, security, performance, and recovery across relational and distributed systems. Collaborate cross-functionally on data initiatives, telemetry, visualization, and Kubernetes deployments while applying concurrency, parallel programming, and AI-assisted development practices.
Top Skills: Amazon S3Apache IcebergJavaJavaScriptKubernetesRelational DatabasesServicenow Platform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account