Senior Software Engineer, Lyft Business

Gomyneed Private Limited; San Francisco, Northern (CA, KY); Hybrid; USD 148,000 - 185,000; Full time

Job summary

Lyft is seeking a Senior Software Engineer for Lyft Business in San Francisco, CA. You will design, implement, and scale production-grade software in a cloud environment, focusing on reliability and performance.

You should have strong system design skills, experience with AI to improve product experiences, and a track record of delivering large-scale distributed systems in the cloud (AWS/GCP/Azure). Salary ranges from $148,000 to $185,000 per year, with full-time employment.

Qualifications

• 5+ years of software engineering experience with production systems at scale.
• Strong system design instincts and architectural decision-making.
• Practical experience with AI development to improve product experiences.
• Hands-on experience with large-scale, fault-tolerant distributed systems in the cloud.

Responsibilities

• Write well-crafted, well-tested, readable, maintainable code.
• Explain trade-offs in technical decisions and participate in code reviews.
• Contribute to resolving incidents and maintain high availability.
• Deliver high-quality code and collaborate effectively within the team.

Skills

Software engineering

Distributed systems

AI development

Cloud platforms

Tools

AWS

GCP

Azure

Job description

Lyft is hiring a Senior Software Engineer, Lyft Business (San Francisco, CA). This is an Engineering role listed on the official Lyft careers site.

Key Responsibilities:

• Write well-crafted, well-tested, readable, maintainable code
• Explain the trade-offs made in technical decisions
• Participate in code reviews to ensure code quality and distribute knowledge
• Implement tasks with high-quality code leading to positive execution
• Participate in resolving ongoing incidents and unblock, support, and communicate effectively within the team

Requirements:

• 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale
• Strong system design instincts — reasoning through distributed systems trade-offs, failure modes, and architecture choices
• Practical experience with AI development to improve product experiences
• Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure)

Salary: $148,000–$185,000 per year

Job Type: Full-time