Job Purpose

The Sr. Security Engineer is responsible for designing implementing hardening and supporting enterprise security capabilities that protect company systems platforms and information assets. This role blends hands-on security engineering with operational execution across cloud security security operations incident support and AI security use cases.

The position partners with engineering cloud platform application data/AI and operations teams to reduce risk improve detection and response outcomes and support audit and control expectations. As a senior-level role this position also contributes technical leadership through documentation standardization mentoring and continuous improvement.

Essential Functions and Responsibilities

• Design implement and continuously improve secure configurations and guardrails across enterprise and cloud environments including identity and access controls network protections encryption secrets management logging and platform hardening.

• Engineer administer and support enterprise security technologies spanning endpoint security vulnerability management SIEM/logging identity management monitoring detection and cryptographic controls.

• Drive remediation of security findings by prioritizing critical and high-risk issues validating corrective actions and improving repeatable control patterns.

• Build operate and enhance security operations capabilities including detection engineering SIEM/SOAR workflows alert triage investigation support incident response playbooks and operational runbooks.

• Conduct or support incident investigations root-cause analysis containment and eradication activities and lessons-learned follow-through.

• Participate in the on-call support rotation for security incidents provide technical support during active investigations and response activities and contribute to post-incident remediation and continuous improvement.

• Develop and maintain technical documentation engineering standards implementation procedures and evidence-quality artifacts to support operational consistency and audit readiness.

• Partner with engineering cloud application and AI/ML stakeholders to implement scalable security controls and secure-by-default patterns.

• Perform technical assessments and proof-of-concept evaluations of new security solutions and recommend changes to procedures standards or tooling where appropriate.

• Implement practical security controls for AI-enabled systems and workflows including governance access controls monitoring and risk reduction for model and application use cases.

• Participate in audits control reviews and security assessments; support evidence collection traceability and remediation tracking.

• Mentor less experienced engineers and contribute to technical leadership across the team.

• Perform other duties as assigned and understand and adhere to all corporate policies including the ACI Code of Business Conduct and Ethics.

Qualifications (Education Experience Knowledge Skills and Abilities)

• Bachelors degree in Computer Science Information Systems Cybersecurity MIS or related field; equivalent practical experience may be considered.

• 5 years of experience in security engineering and/or security operations with demonstrated hands-on delivery.

• Strong working knowledge of security fundamentals across identity and access management encryption network security secure logging/telemetry configuration hardening and vulnerability/risk remediation.

• Experience implementing and supporting security controls in at least one major cloud environment; direct experience across both AWS and Azure is strongly preferred.

• Demonstrated experience with security operations processes and tooling such as SIEM/SOAR detection engineering alert triage incident support security scanning or operational playbooks.

• Demonstrated ability to translate security findings into practical engineering improvements documentation and measurable operational outcomes.

• Experience developing technical documentation standards and runbooks for repeatable operational execution.

• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.

• Ability to work independently on complex assignments with limited day-to-day supervision.

Preferred Qualifications

• Experience with regulated or audited environments and supporting evidence traceability or control mapping.

• Experience with automation and scripting in Python PowerShell Bash Go Ansible or similar tooling.

• Experience with policy-as-code infrastructure-as-code security gates or continuous compliance patterns.

• Experience with container Kubernetes or workload identity security.

• Experience with threat hunting post-incident remediation and engineering-driven control improvements.

• Familiarity with AI/LLM application security threat modeling secure evaluation/testing and governance approaches.

• Advanced knowledge of security standards and frameworks.

• Experience mentoring junior team members.

Licenses and Certifications

• Relevant certifications are strongly preferred. Candidates should demonstrate credible competency across cloud security cybersecurity operations and AI / application security through a combination of certifications and directly relevant experience.

Work Environment

• Standard work environment.

• Majority of time spent on PC.

• Participation in an on-call rotation is required to support incident response escalations and urgent security events.

• Travel may be required on a limited basis.