The Data Center Automation team develops systems that orchestrate and maintain the lifecycle of hardware in Bloomberg's data centers. These systems are critical for building and maintaining a healthy data center environment, handling everything from automated server rack setup and configuration to decommissions and power monitoring. As a software engineer on this team, you will solve challenging technology problems by building architecturally sound, scalable, and performant software that keeps Bloomberg’s infrastructure at the leading edge.

This is a unique opportunity to develop foundational systems for Bloomberg’s technology stack. You'll work with open-source tooling to create applications and automation with significant impact, gain exposure to cutting-edge technologies and practices, and collaborate closely with other engineering teams on initiatives critical to the health and sustainability of Bloomberg’s data center infrastructure.

- Advise on and execute the design, architecture, and implementation of new software solutions.

- Play a critical role in improving existing products to ensure the quality, stability, and scalability of Bloomberg’s data center infrastructure.

- Work collaboratively within an agile software development lifecycle.

- Demonstrated software development experience in Python, Go, or C/C++.

- A solid understanding of Linux.

- Strong problem-solving skills.

- Proficiency in software engineering principles.

- BS/MS/PhD in Computer Science, Engineering, or a related technology field.

- Working knowledge of low-level data center/compute/storage infrastructure.

- Experience developing and troubleshooting scalable distributed systems.

- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes, Mesos).

- Working knowledge of automation/orchestration platforms (e.g., Airflow, Chef, Ansible, Salt).

- Experience with continuous integration and deployment tools (e.g., Jenkins).

- Solid understanding of TCP/IP and networking.