Lead Security Engineer - Managed Services

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Security Engineer - Managed Services based in United States.

This senior security engineering role provides technical leadership across managed services platforms, infrastructure, cloud environments, and identity systems.
You will shape secure-by-design practices and strengthen security capabilities across complex enterprise technology environments.
The role combines hands-on security expertise with architecture, risk management, compliance, and strategic technical leadership.
You will work closely with Infrastructure, Platform Engineering, Architecture, Product, and Operations teams to embed security throughout the technology lifecycle.
The position offers an opportunity to influence IAM, Zero Trust, vulnerability management, incident response, DevSecOps, and security automation initiatives.
You will also mentor engineers, evaluate emerging technologies and threats, and help enable secure, scalable growth.
This is an ideal opportunity for a security leader who enjoys solving complex problems in a collaborative, technology-driven environment.

Accountabilities:

• Lead the design, implementation, and continuous improvement of security controls across managed services platforms, infrastructure, cloud environments, and identity systems.
• Serve as a senior technical authority for security architecture, threat mitigation, risk management, vulnerability remediation, and complex security incidents.
• Drive enterprise Identity & Access Management capabilities, including authentication, authorization, privileged access management, access governance, and least-privilege frameworks.
• Establish and maintain security standards, secure engineering practices, and compliance controls aligned with frameworks such as PCI DSS, SOC 2, HIPAA, ISO 27001, NIST, and CIS Controls.
• Partner with architecture, engineering, infrastructure, and product teams to integrate security throughout the technology lifecycle and advance DevSecOps and secure-by-design initiatives.
• Translate security requirements and business risks into scalable, practical technical solutions across managed services environments.
• Provide technical leadership and mentorship to security and engineering professionals while promoting strong security engineering practices.
• Evaluate emerging technologies, evolving threats, and modernization opportunities to continuously strengthen the organization’s security posture.
• Support platform engineering, infrastructure automation, cloud transformation, and other strategic technology initiatives from a security perspective.

Requirements:

• 8+ years of experience in cybersecurity, security engineering, infrastructure security, or a related discipline, including experience leading technical initiatives and mentoring engineers.
• Deep hands-on expertise securing enterprise-scale hybrid and cloud environments, with experience in security operations, vulnerability management, incident response, and identity and access management.
• Strong knowledge of modern security technologies and practices, including IAM, privileged access management, endpoint protection, network security, cloud security, Zero Trust architectures, threat detection, and security automation.
• Experience implementing secure engineering practices such as DevSecOps, Secure SDLC, and infrastructure or security automation using scripting languages such as Python or PowerShell.
• Working knowledge of major security and compliance frameworks, including PCI DSS, ISO 27001, HIPAA, SOC 2, NIST, and CIS Controls.
• Demonstrated ability to communicate complex security concepts clearly and collaborate effectively with engineering, infrastructure, architecture, product, and business stakeholders.
• Strong technical leadership, problem-solving, communication, and mentoring skills, with the ability to influence teams and drive security initiatives across a complex organization.
• CISSP certification is a plus, as are CCNP Security, CCSP, GIAC, Azure Security, or equivalent certifications.
• Experience with platform engineering, infrastructure automation, AI initiatives, cloud transformation, modernization programs, enterprise architecture, or governance frameworks is advantageous.
• Experience designing secure access models for large-scale managed services environments is preferred.
• A curious, adaptable, and AI-fluent mindset, with a willingness to experiment with evolving technologies and use AI responsibly to enhance engineering and decision-making.

Benefits:

• Base salary: $133,000–$193,200 annually, depending on experience, skills, and geographic location.
• Quarterly bonus: Target of 10%, subject to applicable plan terms and conditions.
• Comprehensive benefits package, with eligibility and offerings varying by location.
• Opportunities to work remotely in a technology-focused environment.
• A culture that encourages curiosity, continuous learning, experimentation, and responsible adoption of AI.
• Collaborative environment with opportunities to influence security strategy, mentor technical teams, and work on complex enterprise initiatives.
• Commitment to an equitable, transparent, respectful, and inclusive hiring process.

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!

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.