Sr Cybersecurity Engineer

NiSourceColumbus, OH
3d

About The Position

At NiSource, our Enterprise Security department engineers sophisticated defenses to protect the critical cyber and operational infrastructure that powers our business. The Sr Cybersecurity Engineer – Insider Threat serves as a senior technical leader responsible for designing, engineering, and operationalizing capabilities that detect, prevent, and respond to insider risk across enterprise IT, cloud, and operational environments. This role focuses on the identification of malicious, negligent, and compromised-user behaviors through advanced monitoring, analytics, behavioral detection, and data protection controls. The Sr Cybersecurity Engineer partners closely with Security Operations, HR, Legal, Compliance, Privacy, and Data Governance to ensure insider risk capabilities are technically sound, legally defensible, and aligned to regulatory obligations (e.g., NIST CSF, NERC CIP where applicable). The engineer builds and sustains technical controls across identity systems, endpoint telemetry, DLP platforms, UEBA solutions, cloud environments, and security data platforms. This role is responsible for translating insider threat risk into actionable detection logic, automation, and engineered safeguards that protect intellectual property, customer data, and critical infrastructure. This position plays a strategic role in enabling trusted workforce operations while reducing organizational risk through measurable, defensible insider threat detection and mitigation capabilities. Key Disciplines for Insider Threat Engineering User & Entity Behavior Analytics (UEBA): Designing behavioral baselines and anomaly detection models leveraging SIEM, XDR, and data lake platforms. Data Loss Prevention (DLP) & Data Protection Engineering: Engineering and tuning controls across endpoint, cloud, email, collaboration platforms, and SaaS applications. Identity & Access Risk Engineering: Advanced IAM integrations, privileged access monitoring, identity anomaly detection, and federation risk analysis. Security Data Engineering & Analytics: Integrating telemetry from endpoints, identity providers, SaaS platforms, badge systems, and HR systems into unified detection pipelines. Insider Threat Detection Engineering: Developing high-fidelity use cases aligned to insider kill chains (data staging, privilege abuse, exfiltration, policy violations). Cloud & SaaS Monitoring: Engineering monitoring for M365, Azure, collaboration platforms, and other enterprise SaaS environments. Forensics & Investigative Support: Engineering audit retention, chain-of-custody readiness, and evidence collection capabilities. Automation & Response Orchestration: Building automated workflows for investigation, containment, and escalation. Regulatory & Privacy-Aware Monitoring: Designing monitoring solutions that balance workforce privacy considerations with enterprise risk reduction. AI/ML-Driven Risk Modeling: Leveraging advanced analytics to enhance anomaly detection, insider risk scoring, and alert prioritization.

Requirements

  • 5+ years of experience in designing and implementing robust security solutions.
  • Experience with secure coding practices and Application Security.
  • Proficiency in Cybersecurity principles, IT infrastructure, and Application Security.
  • High Understanding of Network Security protocols, Cryptography, and secure network architectures.
  • High Familiarity with Cloud Security, including IaaS, PaaS, and SaaS models.
  • High Knowledge of Cybersecurity frameworks such as NIST CSF.
  • Medium Expertise in Penetration Testing and Ethical Hacking.
  • Low In-depth knowledge of developing secure network architectures and defense strategies.
  • High Expertise in secure software development lifecycle practices.
  • Medium Demonstrated leadership and team mentoring abilities.
  • Medium Bachelor's Degree in Computer Science, Information Technology, Cybersecurity, or a related field is preferred. However, equivalent professional experience, military service, relevant certifications, substantial industry tenure, or technical training may be considered as a substitute for formal education.
  • Authorized to work in the United States without requiring sponsorship.

Nice To Haves

  • Advanced degrees or professional certifications such as CISSP, CISM, CEH, or equivalent.
  • Contributions to Cybersecurity research or thought leadership in industry forums.
  • Experience with AI and ML technologies in Cybersecurity.

Responsibilities

  • Develop and fine-tune security monitoring tools.
  • Engineer solutions for incident detection and response.
  • Implement patches and remediations.
  • Engineer secure network and system architectures.
  • Implement IAM solutions.
  • Automate compliance monitoring and reporting.
  • Integrate threat intelligence into security tools.
  • Develop training materials and simulations.
  • Implement cloud security controls and measures.
  • Analyze pen-testing results and engineer defenses.
  • Enforce policy adherence through technical solutions.
  • Pilot new security solutions.
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