Bloomberg

The Automation Services team builds and operates the core automation infrastructure that powers Bloomberg’s managed fleet. We design and scale the systems that deliver orchestration, configuration management, and last-mile execution for tens of thousands of machines. Our platform is the foundation for a variety of large-scale, mission-critical workflows.

Our stack is built on top of best-in-class open source technologies, including Ansible, Salt, Airflow, and Chef. We don’t just integrate them into Bloomberg’s ecosystem, we also contribute improvements back upstream. The work spans deep systems engineering, large-scale distributed architecture, and software development, with an emphasis on Linux and open source tooling.

What You’ll Work On:

• Performance optimization at scale – tackling complex challenges in throughput, latency, scheduling, and reliability across massive automated systems.
• Platform engineering – build multi-tenant self-service capabilities, developer-facing APIs, and custom operators so other teams can automate without our team in the loop.
• Open source contributions – collaborating with the broader open source community to enhance the tooling we rely on.
• Tool convergence – help define which tools are right for which job as we unify automation platforms into a coherent strategy with clear boundaries.

Why Join Us:

• Solve hard problems at scale: performance tuning, orchestration of massive workloads, and automation of global fleets.
• Work in a hybrid environment that blends systems reliability engineering with software development.
• See your work impact thousands of developers across Bloomberg and developers worldwide through open source.
• Be part of a team that values deep technical curiosity, collaborative problem-solving, and bold thinking.

What You’ll Need:

• 4+ years of software engineering experience
• A degree in Computer Science, Engineering or similar field of study or equivalent work experience
• Experience owning and operating production facing systems
• Exposure to multi-tenant platform design and building self-service tools for other engineering teams.
• A collaborative, pragmatic approach to problem-solving, you'd rather ship a working solution than debate the perfect abstraction.

We’d love to see:

• Experience with both Python and Ruby (the two primary languages in our stack).
• Contributions to open source projects, especially in the automation/infrastructure space.
• Experience with at least one configuration management or orchestration tool (Salt, Chef, Ansible, Airflow, Puppet, or similar).
• Linux/Unix systems background, you're comfortable debugging process behavior, diagnosing performance issues, and reading system logs in production.
• Comfort with additional platforms beyond Linux (Windows, Solaris).
• Understanding of the end-to-end web request lifecycle: DNS resolution, TCP/TLS handshakes, load balancing, HTTP, caching.