Senior Engineer – Siem Platform Engineering & Operations

Bank of America Bank of America · Banking · Denver, CO +4

Senior Engineer responsible for engineering, monitoring, and optimizing SIEM platforms (Splunk, Microsoft Sentinel) and associated data pipelines, focusing on data quality, platform resiliency, and analytic reliability within a cybersecurity context. This role involves managing ingestion, normalization, and ensuring data SLIs/SLOs, with a focus on operational health and subject matter expertise.

What you'd actually do

  1. Engineer, monitor, and maintain the operational health and resiliency of SIEM platforms including Splunk Enterprise/Cloud and Microsoft Sentinel.
  2. Implement SIEM platform resiliency controls including cluster monitoring, ingestion latency tracking, and workload distribution optimizations.
  3. Monitor, maintain, and troubleshoot the data ingestion pipeline including Kafka clusters, Cribl pipelines, Splunk Forwarders, and Sentinel connectors.
  4. Develop dashboards for pipeline throughput, message lag, schema drift, and end-to-end data quality validation.
  5. Manage and enforce data SLIs/SLOs across freshness, completeness, correctness, and availability.

Skills

Required

  • Security Operations
  • SIEM Engineering
  • Detection Engineering
  • Incident Response
  • Splunk Enterprise/Cloud
  • Microsoft Sentinel
  • Kafka
  • Cribl
  • Python
  • SQL
  • Pandas
  • Spark
  • Databricks
  • Hadoop
  • CIM
  • OCSF
  • CEF
  • EDR
  • SOAR
  • Cyber Security
  • Information Systems Management
  • Risk Management
  • Solution Delivery Process
  • DevOps Practices

Nice to have

  • offensive security tooling
  • data science processes
  • statistical methods
  • threat hunting
  • detection engineering in cloud environments (Azure, AWS, M365)
  • Splunk KV stores, apps, upgrades
  • SRE-style observability and reliability patterns (SLIs, SLOs, error budgets)
  • AI enabled Security Operations technologies

What the JD emphasized

  • 6+ years experience in Security Operations, SIEM Engineering, Detection Engineering, Incident Response, or related enterprise disciplines.
  • Hands-on experience with Splunk Enterprise/Cloud and Microsoft Sentinel in large-scale environments.
  • Experience with Kafka, Cribl, Databricks, Hadoop, Python, SQL, Pandas, Spark, or similar data platforms.