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.

• Custom extensions & integrations – building automation frameworks and developer-facing APIs on top of open source projects, making them enterprise-ready.

• Airflow 3 architecture & migration – designing our next-generation orchestration platform

• AI-powered workflows – integrating modern AI technologies (LLMs, model-context protocols, intelligent assistants) into automation pipelines to improve developer productivity and system intelligence.

• Upstream OSS contributions – collaborating with the broader open source community to enhance the tooling we rely on.

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 working with an object-oriented programming language (Python, C/C++, Java, etc.)

• A degree in Computer Science, Engineering or similar field of study or equivalent work experience

• Strong Linux/Unix systems background, including debugging and optimization in production environments.

• Deep understanding of the end-to-end web request lifecycle: DNS resolution, TCP/TLS handshakes, load balancing, HTTP, caching, and browser rendering.

• Expertise across the networking stack (L3–L7): from packet routing and TCP congestion control to CDN and application-level optimizations.

• A collaborative, pragmatic approach to problem-solving and building scalable solutions.

We’d love to see:

• Experience with additional programming languages (Go, React, Ruby, etc.)

• Experience with orchestration and configuration management systems (Chef, Ansible, Salt, Airflow, or similar).

• Experience contributing to open source projects.

• Experience with additional operating systems like Windows.

• Strong interest in testing, observability, and reliability engineering practices.