Senior Software Engineer, Python Platform

Uber Uber · Consumer · Amsterdam, Netherlands · Engineering

Senior Software Engineer on the Python Platform team at Uber, focusing on building and operating infrastructure for Python systems, including ML/data workflows. Responsibilities include improving build systems, tooling, and developer experience, ensuring scalability, reliability, and operational excellence.

What you'd actually do

  1. Lead the design and implementation of large-scale improvements to Uber’s Python build systems, tooling, and developer workflows.
  2. Architect reliable, scalable solutions that improve performance, testability, observability, and operational excellence across the ecosystem.
  3. Drive initiatives that reduce tech debt, improve monorepo health, and enable safe, continuous upgrades of Python and dependencies.
  4. Partner with ML, data, and backend teams to simplify and unify development workflows.
  5. Own projects end-to-end from problem definition and design through production rollout and long-term operation.

Skills

Required

  • 7+ years of professional software development experience
  • Strong expertise in Python and large-scale backend systems
  • Experience designing, building, and operating distributed systems in production
  • Proven track record of leading complex technical initiatives end-to-end
  • Demonstrated commitment to operational excellence, including reliability, monitoring, and incident management in production systems
  • Experience mentoring junior engineers and contributing to raising the engineering bar within a team

Nice to have

  • Experience building developer platforms, internal tools, or infrastructure at scale
  • Experience with Bazel or other hermetic build systems
  • Experience with dependency/package management systems
  • Familiarity with ML or data infrastructure
  • Experience improving CI/CD systems or large monorepos
  • Contributions to open-source tooling ecosystems

What the JD emphasized

  • lead complex, cross-cutting initiatives
  • improve the health, scalability, and developer experience
  • work at the intersection of build systems, developer tooling, production infrastructure, and ML/data workflows
  • shaping how Python is built and operated across the company
  • solving hard platform problems
  • enabling other engineers to move faster
  • raising the bar for production quality
  • leading complex technical initiatives end-to-end
  • reliability, monitoring, and incident management in production systems