Description and requirements

As a Network Production Engineer, you will be a critical member of the team responsible for the full lifecycle of our global network infrastructure that supports Bloomberg’s core products and services. This includes building and maintaining a network that is scalable, reliable and robust. Our network is vast, connecting several large-scale Data Centers and over a hundred edge sites. It connects Bloomberg to hundreds of thousands of our clients, over 1,500 global exchanges and trading venues over private connectivity, Internet and Public Cloud.

This is a unique opportunity to help build robust, highly scalable solutions that will power the future of how Bloomberg automates network infrastructure. You'll be trusted to design and work on tooling that builds on automation best practices and principles.

We’ll trust you to

• Develop and maintain software tools to manage a large-scale, multi-vendor network with an emphasis on automation, telemetry, and model-driven infrastructure as code.

• Automate the full network lifecycle—including provisioning, configuration, observability, testing, troubleshooting, and capacity planning.

• Collaborate with architecture and design teams and the CTO office to implement new technologies that ensure scalability, efficiency, and operational resilience.

• Develop tools and platforms that enhance the observability, reliability, and performance of the production network.

• Enhance existing monitoring and observability frameworks, integrating intelligent alerting and self-remediation capabilities to reduce manual intervention and improve incident response.

• Define and measure service-level objectives (SLOs) to track infrastructure performance and reliability.

• Write software utilizing orchestration systems to automate tasks and interact with other systems.

• Provide mentorship to junior engineers and promote software engineering best practices throughout the team.

• Practice and promote the use of a modern software development lifecycle.

You need to have

• Extensive experience as a Software, Network Production, or System Reliability Engineer.

• Experience with building, maintaining and continuously enhancing automations needed for scalability & efficiency in running the Network Infrastructure.

• Experience in infrastructure Automation and orchestration Frameworks e.g. Ansible, Airflow, Terraform, Chef, Salt.

• Proven experience with object-oriented programming languages preferably in Python.

• A bachelor's or master's degree in computer science, Engineering, Mathematics, a similar field of study or equivalent work experience.

We'd love to see

• Experience managing and automating network devices at scale such as Juniper, Nokia, Arista, Cisco, Whitebox etc.

• An understanding of various Network architectures across Internet, Public Cloud, Private Networks, DWDM and Optical Networking, Data Centre builds and design fundamentals. etc.

• Experience with network modelling

• Eagerness to learn new technologies and mentor others

• Experience with Telemetry: Splunk, Grafana, Humio

• Experience with continuous integration and deployment tools

• Experience implementing, maintaining and troubleshooting MPLS, BGP, OSPF, IGMP, PIM related internal and external network routing issues in a production environment

• Knowledge with messaging queues such as Kafka, RabbitMQ, etc

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net