444 jobs for "Lead Software Engineer (Java/Spring and Python) - Data Protection & Recovery"

Sr Software Engineer - Engineer

At Uber - Sunnyvale · San Francisco

Posted on Nov 3

View job Apply on company site

Lead Software Engineer

At JPMorgan Chase - Jersey City · Palo Alto

Posted on Nov 6

View job Apply on company site

Full-stack Software Engineer 5, Data Insights Platform (Global Payment Network)

At Capital One - Plano · McLean

Posted on Nov 5

View job Apply on company site

Manager, Cloud Data Engineer

At Deloitte - Atlanta · Boston

Posted on Nov 5

View job Apply on company site

Lead Power Systems Controls Engineer

At Eaton - Salt Lake City

Posted on Nov 4

View job Apply on company site

Software Engineer

At NIKE, Inc. - Beaverton

Posted on Nov 3

View job Apply on company site

Lead Networking Engineer

At JPMorgan Chase - Ciudad Autonoma Buenos Aires

Posted on Nov 5

View job Apply on company site

Lead Power Systems Controls Engineer

At Eaton - Boothwyn

Posted on Nov 4

View job Apply on company site

Staff AI Software Engineer

At GE Vernova - Bengaluru

Posted on Nov 2

View job Apply on company site

Lead Software Engineer, Global Converse, ITC

At NIKE, Inc.

Posted on Nov 2

View job Apply on company site

Project Senior Web Developer

At Deloitte - Rosslyn

Posted on Nov 4

View job Apply on company site

Experienced QA Engineer with Hands-on Automation and AI Skills

At Deloitte - Austin · Boston

Posted on Nov 3

View job Apply on company site

Lead Power Systems Controls Engineer

At Eaton - Mountainside

Posted on Nov 4

View job Apply on company site

Lead Infrastructure Engineer

At JPMorgan Chase - London

Posted on Nov 5

View job Apply on company site

Lead Firmware Test Automation Engineer

At Jabil - Pune

Posted on Nov 4

View job Apply on company site

Control Application Engineer - Power Quality & FACTS

At Hitachi Energy - Madrid

Posted on Nov 3

View job Apply on company site

Staff Software Engineer- Eng

At UKG - Lowell

Posted on Nov 2

View job Apply on company site

Lead Software Engineer

At Coupa - Hyderabad

Posted on Nov 4

View job Apply on company site

iSeries Technical Lead (Atlanta, GA, or other unanticipated locations throughout U.S.).

At Insight Global - Atlanta

Posted on Nov 7

View job Apply on company site

Senior Embedded Software Engineer - Automotive Systems

At Aptiv - Chennai

Posted on Nov 6

View job Apply on company site

Uber

Sr Software Engineer - Engineer

Sunnyvale, CA · San Francisco, CA · Seattle, WA$202,000 – $224,000Posted 4 days ago

Apply on company site View full job

Senior Software Engineer, Michelangelo Job Controller team

About the role and team

Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Senior Software Engineer on the Michelangelo Job Controller team, you will help build the compute infrastructure that runs ML workloads for hundreds of teams across Uber, from scheduling and launching Ray and other distributed jobs on Kubernetes to managing their lifecycle at scale. Our mission is to make transportation as reliable as running water, and we need strong engineers to build the dependable, high-performance foundation that supports that vision.

This is a role for a systems thinker who thrives in high-stakes environments. You will navigate the \"messy\" reality of complex infrastructure spanning global data centers and multiple cloud providers, supporting a wide variety of ML workloads. You will make smart decisions with imperfect information and own the outcomes of what you build. If you lead with clarity, build with heart, and are motivated by the challenge of reliability and efficiency at unparalleled scale, this is where you'll make your mark.

What you'll do

- Design and build the Job Controller, the Kubernetes-native system that manages the lifecycle of ML jobs, including submission, scheduling, execution, and cleanup.

- Build and improve the integration of Ray and Kubernetes, solving scaling, reliability, and resource utilization challenges for large training and processing workloads.

- Work on compute infrastructure problems such as job placement across clusters, resource pools, quota, and capacity efficiency.

- Drive reliability and observability for the controllers, including safe rollouts, failure handling, and well-defined SLOs.

- Use data-driven analysis to diagnose job failures, scheduling delays, and performance regressions, and to optimize resource utilization.

- Build tooling, APIs, and frameworks that increase the velocity and quality of hundreds of internal engineering and ML teams.

- Review code and designs, mentor other engineers, and foster a culture of continuous learning and humility.

- Work cross-functionally with ML, Product, Infrastructure, and Operations teams across the globe to drive projects and align technical investments with business value.

Basic Qualifications

- 6+ years of professional experience building scalable, fault-tolerant products or platforms, with a track record of solving important problems.

- Proficiency in one or more programming languages (e.g., Go, C/C++, Java, Python, or JavaScript).

- Deep understanding of Kubernetes and Ray, beyond using them as a user. This means knowing how they work internally and how to extend, operate, and debug them at scale.

- Experience with compute infrastructure, such as cluster management, job scheduling, or resource orchestration.

- Proven experience delivering large-scale engineering projects through the entire lifecycle from inception to production.

- Ability to make sound engineering and business tradeoffs.

- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

Preferred Qualifications

- Experience building Kubernetes controllers and operators (e.g., with controller-runtime or client-go).

- Experience with ML platforms, distributed training, or workflow orchestration systems.

- Experience operating Kubernetes or Ray across multiple clusters or regions.

- Advanced degree (Master's or PhD) with a focus on distributed computing, system performance, or machine learning.

- Experience contributing to open-source projects such as Kubernetes or Ray.

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 Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Sunnyvale, 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.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

About Uber

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

Size: 10,000+ employees
Industry: Technology

View company profile