Senior Security Automation & SOAR Engineer
IHS Markit
- Location
- New York, New York; Boulder, Colorado; Princeton, New Jersey
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Salary
- $140k – $155k/yr
Skills
About this role
About the Role: Grade Level (for internal use): 10 Job Description Summary The Senior Security Automation & SOAR Engineer is a highly technical role within the Cyber Fusion Center responsible for the architecture, deployment, and end-to-end lifecycle management of automated incident response workflows. The security automation engineer will spearhead the development of cloud-native orchestration playbooks using Google SecOps, integrate diverse API-driven detection technologies, tune high-volume data streams via Cribl, and deliver measurable improvements in operational response efficiency (MTTR). Job Description The Team: The Cyber Fusion Center protects the business by fusing threat intelligence, monitoring, detection engineering, and response into one proactive, intelligence-led defense capability that breaks down silos to reduce risk and strengthen security across the enterprise. The team prioritizes collaboration, continuous learning, and innovation, with shared ownership of outcomes and a supportive learning mindset during high-pressure situations. You'll work in a hands-on, build-driven environment with strong team collaboration, rapid learning through real use cases, and clear opportunities to mature automation across the security program. Responsibilities and Impact: Architect and develop SOAR playbooks and automated workflows to streamline incident triage, containment, and remediation processes, directly improving SOC efficiency and reducing mean time to response Build and maintain secure integrations across a comprehensive ecosystem of security, IT, and business platforms including security tools, identity systems, cloud services, network infrastructure, ticketing systems, and communication platforms using APIs and custom code to support end-to-end incident response workflows Lead cross-functional collaboration with SOC, Detection Engineering, and Incident Response teams to identify automation opportunities and translate operational needs into technical solutions Deploy cloud-based security infrastructure using infrastructure-as-code practices, managing role-based access controls and supporting disaster recovery initiatives Incorporate cutting-edge AI technologies including Agentic AI and Large Language Models into security workflows to enhance decision-making and contextual understanding Produce executive-level reporting on automation performance metrics and ROI, presenting program effectiveness to leadership while supporting strategic security initiatives What We're Looking For: Basic Required Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or related field, or equivalent professional experience in security automation and orchestration 5+ years of proven experience designing and implementing security automation solutions in enterprise environments with hands-on SOAR platform expertise and demonstrated leadership in automation initiatives. Strong hands-on incident response experience with demonstrated ability to translate response procedures into scalable automated workflows. Strong proficiency in Python programming and experience with detection technologies such as YARA, along with REST API development and third-party service integrations Deep technical expertise across security platforms including SIEM technologies (such as Splunk, Elastic, or Sentinel), SOAR platforms (such as Phantom, XSOAR, or Swimlane), and EDR solutions (such as CrowdStrike, SentinelOne, or Microsoft Defender) Hands-on experience with cloud infrastructure deployment particularly in AWS environments, using infrastructure-as-code tools (such as Terraform, CloudFormation, or Pulumi) Experience with data manipulation and analysis tools (such as Pandas, SQL, or Elasticsearch) for processing high-volume security telemetry and creating sophisticated automation triggers Additional Preferred Qualifications: Experience with Google SecOps platform and familiarity with integrating Agentic AI and Large Language Models into security