Senior Software Engineer/SRE - BQL Reliability Engineering Location London Business Area Engineering and CTO Ref # 10049751 Description & Requirements Bloomberg runs on data. It’s our business and our product. BQL is the single API for all client-facing structured data at Bloomberg. As Bloomberg Terminal is reimagined for the age of AI, products like Bloomberg Assistant primarily use BQL to power AI’s data retrieval capabilities. In a similar way, BQL is used by products like BQuant for financial markets analysis, research, and modeling. In terms of scale, BQL handles ~100 million requests hourly from ~100K active firms. The BQL Platform Observability team owns the reliability of the BQL platform, using observability as its primary lever. We ensure that the BQL ecosystem—spanning workload management layers, the query engine, and hundreds of data providers—operates predictably and at scale across diverse workloads, from low-latency queries powering Terminal screens to long-running quantitative analytics. Our mission is to make platform behavior transparent and measurable by building robust telemetry, instrumentation, and diagnostic capabilities that provide real-time and historical insight into system performance and usage. A core focus of the team is reducing Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) by improving signal quality, strengthening alerting, and enabling rapid root cause analysis. We also embed reliability as a first-class concern throughout the Software Development Lifecycle—driving instrumentation standards, defining SLIs and SLOs, influencing design reviews, and ensuring production learnings continuously improve engineering practices. By institutionalizing observability and reliability across the platform, we help teams build and operate BQL with confidence at scale. What You’ll Do: As part of the BQL Platform Observability team, you will focus on improving the reliability, resilience, and transparency of BQL and the services it depends on. You’ll be trusted to:

Build and evolve solutions to monitor infrastructure and process health, identifying trends and anomalies at scale Work with stakeholders to formulate Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for BQL services and their dependencies, monitor error budget and provide insights for reliability improvements Reduce SEV MTTR by building tools that can quickly provide insights on what is not working to incident owners. Drive resiliency across the org by contributing to system design and increase adoption of experimentation practices such as load testing, A/B testing, canary releases Partner closely with engineering teams to help build observable systems from day 1, and fill the gaps on what cannot currently be seen or measured

What You’ll Need:

Proven experience in a relevant role (Reliability Engineering or Software Development) Strong knowledge of UNIX or Linux systems running distributed application platforms Hands‑on experience with at least one programming language (e.g., Python, Java, JavaScript) beyond basic scripting Demonstrated experience managing the performance, availability, and scalability of mid- to large‑sized systems Hands‑on experience with production deployment and release management Energy, self‑motivation, and the ability to manage multiple tasks in a global, collaborative environment BA, BS, MS, or PhD in Computer Science, Engineering, or a related technical field

We’d Love to See Experience With:

Operating in regulated or highly controlled environments Applying statistical methods to solve real‑world business problems Querying and analyzing large‑scale datasets within enterprise data warehouse environments Querying and manipulating time series data Designing, executing, and analyzing A/B tests and other controlled experiments

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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 #J-18808-Ljbffr