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# Software Engineer, Backend

- **Company:** Lyft Inc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $128,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Code Review, Computer Engineering, Data Structures, Data Stores, Python (Programming Language), Object-Oriented Software Development, E2e Testing, Software Engineering, Code Structure, Technical Debt, Backend, Information Technology
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a47a5c2697e75d6a

## About the Role

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * BS/MS in Computer Science, Computer Engineering, a related field, or equivalent practical experience

 * 3+ years of software engineering experience in production environments
 * Hands-on experience with Python and/or Go
 * Familiarity with datastores such as Dynamo DB and cloud-based environments such as AWS
 * Strong proficiency in object-oriented programming and foundational CS concepts (data structures, algorithms)

## Description

* Engineering & Delivery
 + Take independent ownership of high-impact features and small projects, driving them from early design through launch and iteration
 + Own components within our systems, responsible for their development, deployment, operation, and maintenance
 + Write reliable, performant, maintainable, and scalable code, and contribute to ongoing improvements in code structure, tooling, and technical debt reduction
 + Ensure comprehensive testing for your features, including unit and end-to-end tests, with an eye toward overall system impact
 + Write technical specs, runbooks, and documentation that address requirements, security, and privacy considerations; contribute to team onboarding docs and norms
 * Operations & Quality
 + Rotate on-call, monitoring deployed code for stability and performance, proactively fixing bugs, and keeping dashboards and alerts up to date
 + Support and escalate production incidents as needed, and contribute improvements to on-call practices and long-term reliability
 * Technical Collaboration
 + Partner closely with product, data science, analytics, and operations teams to move fast without breaking things
 + Communicate technical trade-offs clearly, to engineers and non-engineers alike
 + Participate in code reviews and technical discussions, and take the lead with support as needed
 + Accurately scope and estimate tasks and features; engage in roadmapping discussions and contribute feedback
 + Partner with product, design, TPM, QA, and other cross-functional teams where applicable


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