{"id":605891,"url":"https://alion.io/job/bloomberg-cloud-site-reliability-engineer-sre-data-management-analytics-platform","title":"Cloud Site Reliability Engineer (SRE) - Data Management & Analytics Platform","company":{"id":7892,"name":"Bloomberg","domain":"bloomberg.com","url":"https://alion.io/company/bloomberg","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":36,"ghost_share":0,"stale_share":0,"repost_share":0.139,"time_to_fill_p50_days":19,"computed_at":"2026-10-31T05:58:55Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Princeton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-10T17:58:34Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-31T11:02:31Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"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 play a critical role in driving analytics throughout the organization to improve our products, better engage with our customers, create greater efficiencies, and unlock new business opportunities through data-driven insights.\nOur team is responsible for capturing and processing the who, what, when, where, and why of how clients use Bloomberg products, how our systems perform, and how employees interact with customers. We ingest and prepare massive volumes of data to power reporting, dashboards, self-service tools, and advanced analytics used across the company.\nWe are looking for a Cloud Site Reliability Engineer (SRE) who is passionate about building and operating highly reliable, scalable data platforms in the cloud. In this role, you will focus on ensuring the availability, performance, and scalability of critical data pipelines and analytics infrastructure. You will work at the intersection of software engineering and infrastructure, applying automation, observability, and reliability best practices to support large-scale distributed systems.\nYou’ll Be Trusted To\nDesign, build, and operate highly available, scalable, and resilient cloud infrastructure supporting large-scale data ingestion and analytics platforms\n\nDefine, implement, and monitor SLIs/SLOs for data systems and services; drive reliability improvements using error budgets and operational metrics\n\nImprove observability across data pipelines and platforms through logging, metrics, tracing, and alerting\n\nAutomate infrastructure provisioning and system management using Infrastructure as Code (IaC)\n\nLead incident response efforts, perform root cause analysis (RCA), and implement post-incident improvements\n\nOptimize performance, reliability, and cost efficiency of cloud-based data systems\n\nEnsure data platform reliability, including batch and streaming pipelines, storage systems, and reporting infrastructure\n\nPartner with data engineers, software engineers, and stakeholders to improve system reliability and operational maturity\n\nStrengthen platform security through proactive monitoring, vulnerability management, and cloud security best practices\n\nContinuously improve CI/CD pipelines and deployment processes for data infrastructure\n\nYou’ll Need To Have\n5+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles\n\nStrong proficiency in at least one programming or scripting language (Python, and/or Go)\n\nExperience supporting production systems with a focus on reliability, scalability, and observability\n\nHands-on experience operating or designing highly available distributed systems.\n\nA Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience\n\nWe’d Love To See\nExperience supporting large-scale data platforms, data pipelines, or analytics infrastructure\n\nStrong experience operating production systems in AWS at scale\n\nExperience defining and managing SLIs, SLOs, and error budgets\n\nStrong background in monitoring and observability tools (e.g., Prometheus, Grafana, CloudWatch, Datadog)\n\nExperience leading incident management and conducting postmortems\n\nHands-on experience with Infrastructure as Code (Terraform or CloudFormation)\n\nExperience building and maintaining CI/CD pipelines\n\nStrong understanding of distributed systems and cloud architecture\n\nExperience with containerized workloads (Docker, Kubernetes)\n\nKnowledge of AWS services related to data platforms (e.g., S3, EMR, Lambda, Kinesis, Glue, Redshift)\n\nKnowledge of Databricks or Snowflake platform\n\nExperience with cloud networking concepts (VPCs, routing, security groups)\n\nExperience optimizing cloud costs in large-scale environments\n\nAWS certification (Associate level or above)\n\nA security-first mindset and familiarity with compliance and data governance best practices\n\nExperience using operational metrics and data to drive continuous improvement\n\nOur 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.\nSalary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus\nThe 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.\nWe 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.\nDiscover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.","description_format":"text","description_chars":5181,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Data & Market Intelligence","Financial News & Media"],"lifecycle":[{"event":"open","at":"2026-09-10T17:58:34Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 434 · green card filings: 457","filings_12m":434,"filings_prev_12m":472,"green_card_filings_12m":457,"median_offered_wage_usd":165065,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":250},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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