DevOps Security Engineer

Insight is seeking a DevOps Security Engineer to join the Security Observability team within the Cybersecurity Engineering organization. This team is responsible for building and scaling the monitoring, detection, analysis, and remediation capabilities across network, endpoint (IoT/OT), cloud, container, and data security environments.

Key Responsibilities

• Own end‑to‑end onboarding of assigned log sources, including intake, discovery, pipeline build, and delivery through handoff to downstream security platforms
• Design, build, and maintain Cribl Edge/Stream ingestion pipelines to reliably collect, transform, normalize, and route logs
• Develop source‑specific pipeline logic to support varied formats, access methods, and delivery mechanisms across cloud and hybrid environments
• Partner with application and log source owner teams to understand logging capabilities and constraints, translating requirements into scalable and maintainable pipelines
• Collaborate with the SOC to ensure pipelines meet monitoring requirements for completeness, consistency, and data quality
• Troubleshoot and resolve log ingestion issues such as data gaps, duplication, schema drift, malformed events, and volume anomalies
• Use infrastructure‑as‑code (e.g., Terraform) to enable repeatable, auditable, and scalable pipeline deployments
• Validate end‑to‑end log delivery to downstream destinations (e.g., SIEM) and drive continuous improvements to onboarding playbooks and ingestion patterns

Required Skills & Experience

• 3+ years of hands‑on experience in log ingestion and pipeline engineering using Cribl Edge/Stream, including parsing, transforming, normalizing, routing, and end‑to‑end validation
• Strong cloud and infrastructure foundation (AWS and/or Azure), including logging access patterns, IAM, Terraform, and Linux/CLI troubleshooting
• Experience with security logging and automation, including SIEM fundamentals, ADX/Sentinel ingestion, REST‑based ingestion, and ASIM familiarity
• Scripting experience in Python and/or Bash for automation and validation
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Knowledge of networking concepts, security best practices, and cloud‑based infrastructure
• Strong analytical, problem‑solving, and data modeling skills
• Excellent written and verbal communication skills
• Ability to produce clear, high‑quality technical and design documentation
• Experience working with large, complex datasets in enterprise‑scale environments