Senior Software Engineer

2. Capacity safety and compute efficiency, validated through load testing
3. Observability and alerting platforms
4. Graceful degradation
5. Go language shared libraries

If you've worked in an SRE role with a heavy software engineering focus, or are energized by the challenge of solving complex engineering issues and building tools that empower an entire engineering organization, you belong on this team.

• What the Candidate Will Do ----
• Design, build, and maintain software to increase the reliability, scalability, and efficiency of thousands of stateless and stateful production services spread across multiple datacenter zones and regions.
• Lead initiatives end-to-end within the team, the Production Engineering org, and across engineering at large to increase reliability through automation, setting standards, developer tooling, and reusable frameworks.
• Work with other engineers to deeply understand their services and guide them towards practical and reliable architecture and implementation.
• Apply SRE concepts such as observability, integration/load/chaos testing, on-call, incident management, failovers, and disaster recovery to improve mean time between failures (MTBF), time to detection (TTD), and time to mitigation (TTM) of incidents.
• Participate in on-call rotations, responding to and leading mitigation of production incidents, and driving post-incident improvements.

• 5+ years of experience in Go, Java, Python, or similar language
• Experience in delivering solutions end-to-end from defining problems to generating architecture plans, implementation, testing, and delivery.
• Writes clear technical proposals and RFCs; able to drive engineering alignment across teams through written design docs and verbal discussion.
• Preferred Qualifications ----
• Experience in various parts of SRE / reliability engineering / incident management at a large-scale company.
• Experience in platform/infrastructure engineering in related disciplines such as compute platform, software networking, online storage, developer platform, and observability.
• Experience mentoring and leading teams on projects while remaining hands-on and technical.

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Engineering at Uber means building for real-world impact under real-world constraints. The problems are complex, the systems are massive, and the pace is fast. You'll need to make smart decisions with imperfect information, and own them. If you think in systems, thrive in ambiguous, high-stakes environments, and care about building things that actually work, this is where you'll grow. Delivery Production Engineering is a software engineering team, not a traditional operations or sysadmin team. We solve reliability problems by writing code: orchestration systems, load testing frameworks, automation tooling, and shared libraries. As a Production Engineer, you will blend multiple domains of software engineering to ensure Uber's services run reliably at massive scale improving compute efficiency and accelerating developer productivity for a platform that serves millions of users around the world.