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 performance, reliability, and cost efficiency of cloud-based data systems
Ensure data platform reliability, including 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
You’ll Need To Have
5+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles
Strong proficiency in at least one programming or scripting language (Python, and/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
We’d Love To See
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
Strong background in monitoring and observability tools (e.g., Prometheus, Grafana, CloudWatch, Datadog)
Experience leading incident management and conducting postmortems
Hands-on experience with Infrastructure as Code (Terraform or CloudFormation)
Experience building and maintaining CI/CD pipelines
Strong understanding of distributed systems and cloud architecture
Experience with containerized workloads (Docker, Kubernetes)
Knowledge of AWS services related to data platforms (e.g., S3, EMR, Lambda, Kinesis, Glue, Redshift)
Knowledge of Databricks or Snowflake platform
Experience with cloud networking concepts (VPCs, routing, security groups)
Experience optimizing cloud costs in large-scale environments
AWS certification (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
Our most 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.
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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