Cloud Site Reliability Engineer (SRE) - Data Management & Analytics Platform

Details

At Bloomberg, data is at the heart of everything we do. As part of the Data Management and Analytics Platform (DMAP) SRE team, you will help drive analytics throughout the organization to improve products, better engage with customers, create greater efficiencies, and unlock new business opportunities through data-driven insights.

The team captures and processes information about how clients use Bloomberg products, how systems perform, and how employees interact with customers. The team ingests and prepares massive volumes of data to power reporting, dashboards, self-service tools, and advanced analytics across the company.

This role focuses on building and operating highly reliable, scalable data platforms in the cloud. You will ensure the availability, performance, and scalability of critical data pipelines and analytics infrastructure while applying software engineering, infrastructure, automation, observability, and reliability best practices to large-scale distributed systems.

Responsibilities

• Design, build, and operate highly available, scalable, and resilient cloud infrastructure supporting large-scale data ingestion and analytics platforms.
• Define, implement, and monitor SLIs and SLOs for data systems and services; drive reliability improvements using error budgets and operational metrics.
• Improve observability across data pipelines and platforms through logging, metrics, tracing, and alerting.
• Automate infrastructure provisioning and system management using Infrastructure as Code (IaC).
• Lead incident response efforts, perform root cause analysis (RCA), and implement post-incident improvements.
• Optimize the performance, reliability, and cost efficiency of cloud-based data systems.
• Ensure data platform reliability across batch and streaming pipelines, storage systems, and reporting infrastructure.
• Partner with data engineers, software engineers, and stakeholders to improve system reliability and operational maturity.
• Strengthen platform security through proactive monitoring, vulnerability management, and cloud security best practices.
• Continuously improve CI/CD pipelines and deployment processes for data infrastructure.

Requirements

• 5+ years of experience in Site Reliability Engineering, DevOps, or cloud infrastructure roles.
• Strong proficiency in at least one programming or scripting language, such as Python or Go.
• Experience supporting production systems with a focus on reliability, scalability, and observability.
• Hands-on experience operating or designing highly available distributed systems.
• A bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.

Preferred Qualifications

• Experience supporting large-scale data platforms, data pipelines, or analytics infrastructure.
• Strong experience operating production systems in AWS at scale.
• Experience defining and managing SLIs, SLOs, and error budgets.
• Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, and Datadog.
• Experience leading incident management and conducting postmortems.
• Hands-on experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience building and maintaining CI/CD pipelines.
• Strong understanding of distributed systems and cloud architecture.
• Experience with containerized workloads, including Docker and Kubernetes.
• Knowledge of AWS data platform services such as S3, EMR, Lambda, Kinesis, Glue, and Redshift.
• Knowledge of Databricks or Snowflake.
• Experience with cloud networking concepts, including VPCs, routing, and security groups.
• Experience optimizing cloud costs in large-scale environments.
• AWS certification at Associate level or above.
• A security-first mindset and familiarity with compliance and data governance best practices.
• Experience using operational metrics and data to drive continuous improvement.

Successful engineers are collaborative, data-driven, and take strong ownership of production systems end-to-end, ensuring the reliability of the data platforms that power Bloomberg's analytics and insights.

Compensation and Benefits

• Salary range: $160,000–$240,000 USD annually.
• Benefits and bonus.
• Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.
• Benefits are not provided directly to contingent workers, contractors, or interns.