At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
The Infrastructure Operations Engineering team (InfraOps) aims to further an industry leading developer experience at Lyft, by providing top-notch developer support for infrastructure platforms and tooling. InfraOps engineers serve as experts in the products and services offered by the Lyft Infrastructure organization. They find solutions to problems with the products and help other engineers work through technical difficulties. Through their investigations, they contribute their insights and learnings to improve the platforms and tooling they support, and gather data to drive prioritization. InfraOps engineers make future support work easier by creating and scaling tools and processes.
Responsibilities
- Take ownership of reported customer issues and see problems through to resolution, perform root cause analysis, and work to prevent issues from reoccurring in the future
- Research, diagnose, troubleshoot, and debug customer issues encountered in the field
- Embed in partner infrastructure team to provide better internal support & reduce the maintenance burden of software systems
- Help triage, debug and pull engineers to mitigate incidents and improve our systems
- Own, operate, and upgrade software systems within the InfraOps engineer’s domain
- Collaborate with partner infra teams on initiatives and projects, such as automating systems & tasks, migrations, etc
- Develop and contribute to internal and external knowledge bases
- Be a champion for Infra’s customers and hold Infra teams to a high standard of customer service
Experience
- Passion for customer service and ownership of the customer experience including comprehensive issue resolution
- Understanding of support organizations and key indicators that drive supportability
- Excellent written and verbal communication skills, problem solving skills, customer service and interpersonal skills
- Proficiency in Linux systems administration, including shell scripting and troubleshooting
- Experience debugging complex problems in distributed systems
- Experience with BigData tools and processes
- Experience with SQL
- Understanding of APIs, microservices, and cloud computing technology
- Familiarity with Kubernetes or other container orchestration solutions is a plus
- Experience with Go, Python, or similar languages
- The passion and ability to learn new things, while never being satisfied with the status quo
This role will be in-office on a hybrid schedule if an established Lyft Location is available to the Mexico City region — Hybrid Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
Jobs from our Partners
Artificial Intelligence (AI) Cybersecurity Architect
AI and Data Systems Architect
Senior Director, Enterprise Architecture
System Integration and Test Engineer
Other Jobs from Lyft
Software Engineer, Security Foundations
Software Engineer, Machine Learning
Software Engineer - Concierge
Senior Software Engineer, iOS Tooling
Senior Data Scientist - Routing
Machine Learning Engineer
Similar Jobs
Senior Data Engineer
Principal Engineer
Senior Data Scientist
Director, Data Engineer
Principal Engineer Software (API Cloud-base)
Data Engineer - Sr. Consultant Level
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 307 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
Cancel anytime / Money-back guarantee