Senior Engineer, Cyber Engineering

Accountabilities: Enterprise Security Engineering: Design, build, maintain, and optimize enterprise security capabilities across endpoint, network, cloud, and identity environments, including EDR/XDR, SASE, firewalls, and security telemetry platforms. Security Architecture Integration: Embed security controls and capabilities into infrastructure, cloud, and application delivery pipelines through reusable, standardized, and scalable security architectures. GitOps Implementation: Establish GitOps as the standard operating model for security infrastructure, implementing version-controlled configurations, peer reviews, automated testing, and approved deployment workflows. Infrastructure as Code: Develop reusable Infrastructure as Code (IaC) modules and templates, incorporating policy-as-code, configuration validation, automated drift detection, and remediation to ensure consistent and auditable deployments. Security Automation: Automate the entire security Plan, Build, and Run lifecycle, including infrastructure provisioning, deployment, monitoring, troubleshooting, and remediation, reducing manual intervention and operational overhead. Platform Reliability and Resilience: Apply Site Reliability Engineering (SRE) principles to improve platform availability and performance through automated health checks, alerting, self-healing mechanisms, rollback capabilities, and disaster recovery processes. Continuous Improvement: Establish and monitor engineering performance metrics, including deployment frequency, lead time, change failure rates, recovery time, configuration drift, and automation coverage. Technical Leadership: Lead complex cybersecurity engineering initiatives from architecture and design through production deployment, ensuring technical quality and alignment with organizational security objectives. Engineering Standards: Define and promote best practices for secure infrastructure development, automation, documentation, testing, and operational consistency. Mentorship and Collaboration: Guide and mentor fellow engineers, share technical expertise, and collaborate with cross-functional teams to strengthen cybersecurity capabilities. Emerging Technology Evaluation: Research and assess innovative technologies, including AI-assisted engineering tools and agentic automation solutions, to improve security operations, scalability, and engineering productivity. Requirements: Bachelor's degree in Cybersecurity, Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience. At least 7 years of experience in cybersecurity, infrastructure engineering, cloud engineering, platform engineering, or software development, with demonstrated ownership of enterprise security systems. Hands-on experience implementing and managing enterprise security platforms such as CrowdStrike, Zscaler, Palo Alto Networks, Fortinet, Microsoft Defender, and SIEM/SOAR solutions. Advanced proficiency in Terraform, GitOps, and CI/CD methodologies, with proven experience replacing manual infrastructure administration with automated, code-driven solutions. Strong programming and scripting capabilities in Python, PowerShell, and Bash, as well as experience working with REST APIs. Solid understanding of software engineering best practices, including automated testing, code reviews, version control, and technical documentation. Experience with cloud and infrastructure technologies such as AWS, Microsoft Azure, Google Cloud Platform (GCP), GitHub Actions, GitLab, Ansible, Kubernetes, Docker, or comparable solutions. Knowledge of established cybersecurity frameworks and compliance standards, including NIST Cybersecurity Framework (CSF), SOC 2, and ISO 27001, with experience implementing or automating compliance controls. Strong troubleshooting and root cause analysis skills, with the ability to identify complex technical issues and develop sustainable solutions. Excellent communication and cross-functional collaboration skills, with the ability to manage complex engineering initiatives independently. Demonstrated ability to establish technical standards, drive engineering improvements, and contribute to scalable enterprise security architecture. Preferred Qualifications: Relevant professional certifications in cybersecurity, cloud engineering, infrastructure automation, or Terraform. Experience using AI-assisted engineering tools, intelligent automation, or agentic systems to improve development and security workflows. Familiarity with AI infrastructure, high-performance computing (HPC), or large-scale data center environments. Experience designing and operating highly automated security platforms within complex enterprise infrastructure environments. Benefits: Competitive Compensation: Annual base salary ranging from $160,000 to $175,000, depending on experience and qualifications. Performance Bonus: Additional bonus opportunities based on applicable compensation and performance programs. Equity Incentive: Sign-on equity grant and eligibility to participate in long-term equity incentive programs, providing an opportunity to share in the organization's growth and success. Retirement Planning: Access to a 401(k) retirement savings plan with a generous employer matching contribution. Comprehensive Healthcare: Multiple medical insurance plan options, including plans fully paid for by the employer. Fitness and Wellness: Complimentary gym memberships and additional wellness-related benefits. Pet Insurance: Access to insurance options designed to support your pets' health and well-being. Childcare Support: Access to childcare discounts and family-oriented benefits. Remote Work Flexibility: Work remotely from within the United States, with travel to office locations as needed. Professional Growth: Opportunities to lead innovative cybersecurity initiatives, develop advanced engineering expertise, and contribute to next-generation digital infrastructure. Inclusive Workplace: Join an organization committed to equal employment opportunities, diversity, and fostering an inclusive working environment. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1