Bloomberg is the premiere provider of data. We combine news and data from more than 80,000 news wires, 4,000 FX feeds and 370 exchanges around the world – totaling more than 60 billion ticks a day. Our technology allows our customers to exchange more than 300 million messages and nearly 17 million instant chats daily. We build real-time software for high impact systems that is core to the Bloomberg infrastructure. We process market data from around the world, driving the majority of downstream Bloomberg applications. We address the market demand for low-latency solutions by delivering the world's most reliable, timely and accurate financial data.

What’s your role in this? As an Application System Reliability Engineer (SRE) at Bloomberg, your mission is to drive the automation of our production operations, everything from reaction to failures, deployment, testing, and quality checks. You will ensure the optimal availability, latency, scalability, and efficiency of more than ten thousand client-facing applications. We’ll expect you to own our production environment – from the initial design phases to ensuring continuous high availability. You should be comfortable working alongside other engineers to help fix and debug issues with the production environment.

We’ll trust you to:

• Investigate, triage, and troubleshoot production problems as they occur
• Create and maintain common and integrated standards with respect to logging, latency, troubleshooting, and monitoring
• Develop and maintain tools used in investigating production problems
• Review and influence the design and standards of the software
• Measure current capacity, predict future capacity needs and make suggestions accordingly
• Automate deployment and configuration management, quality (including functional and capacity testing), and reaction to problems
• Facilitate continuous integration/continuous deployment

You’ll need to have:

• 3+ years of experience programming in C/C++
• Demonstrated understanding of how production systems are put together and experience with triaging and solving problems with them
• Strong knowledge of Linux systems
• Familiarity with Python
• BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We’d love to see:

• Familiarity with configuration management tools such as Chef, Puppet, Ansible or Saltstack
• Practical knowledge of networking such as TCP/UDP/IP
• Familiarity with monitoring tools such as Splunk, ELK, Grafana, Nagios
• Perl, Java or JavaScript experience
• Experience with virtualization technologies such as Vagrant, Terraform, VMWare, KVM
• Knowledge of cloud technologies (OpenStack, AWS, Rackspace, CloudFoundry, OpenShift, WS02)
• Experience with big data technologies such as Hadoop, Spark, Cassandra
• Knowledge of containerization technologies such as Docker, Mesos, Core OS, Kubernetes

We’re looking for application SREs to work in a few different groups here, so submit an application and we’ll work with you to figure out which one matches your background and interests.