Software Engineer, Data Platform — Hybrid (3 in-office days)

Lyft; San Francisco (CA); Hybrid; USD 128,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) with company match

Paid time off

Parental leave

Subsidized commuter benefits

Lyft credits

Lyft Pink membership

Job summary

Lyft is seeking a Software Engineer to design, develop, deploy, and maintain our platform offerings. You will work on data-enabled systems, emphasizing reliability and scalability, with ownership from design to implementation.

The role requires deep problem-solving skills, experience with large-scale infrastructure, and collaboration with cross-functional teams. This position is in-office on a hybrid schedule in the San Francisco area.

Qualifications

• 3+ years of software engineering experience with data structures/algorithms.
• 2+ years building large-scale infrastructure, distributed systems, or data infrastructure.
• Experience with Kubernetes and container technologies (Docker, cri-o, etc.).
• Familiar with cloud environments such as AWS/GCP/Azure.

Responsibilities

• Design, develop, deploy, monitor, operate and maintain platform elements.
• Help establish roadmap and architecture based on technology and needs.
• Write well-crafted, well-tested, readable code.
• Analyze internal systems and processes to identify improvements/automation.
• Collaborate with product stakeholders to address and prioritise edge cases.
• Help lead large projects from inception to execution.
• Unblock and communicate with internal partners to achieve results.

Skills

Software engineering

Distributed systems

Cloud platforms

Kubernetes

Docker

Tools

cri-o

AWS

GCP

Azure

Job description

Lyft is seeking a Software Engineer to design, develop, deploy, and maintain our platform offerings. You will work on data-enabled systems, emphasizing reliability and scalability, with ownership from design to implementation.

The role requires deep problem-solving skills, experience with large-scale infrastructure, and collaboration with cross-functional teams. This position is in-office on a hybrid schedule in the San Francisco area.