This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineering Manager, Infrastructure Security Engineering - DGX Cloud based in Canada.
This is a senior engineering leadership opportunity focused on securing large-scale AI infrastructure and cloud platforms.
You will lead a distributed team of senior security and infrastructure engineers responsible for eliminating entire classes of risk through engineering.
The role combines people leadership, technical strategy, security architecture, and delivery across complex cloud-native environments.
You will shape the roadmap for security control planes, foundational security services, and increasingly autonomous security operations.
Success is measured by meaningful risk reduction, operational resilience, adoption, and sustainable engineering outcomes rather than ticket volume.
You will collaborate extensively with platform, SRE, networking, and security teams, influencing outcomes across organizational boundaries.
This role is ideal for an experienced engineering leader who can build high-performing teams while maintaining strong technical credibility in infrastructure and security.
Accountabilities:
- Lead, coach, and develop a distributed team of senior security and infrastructure engineers, owning hiring, performance, career development, and team growth.
- Build a strong and sustainable engineering organization with sufficient depth to avoid dependence on individual contributors or heroics.
- Establish technical direction and roadmap priorities for security control planes, foundational security services, and the evolution toward autonomous security operations.
- Translate high-stakes, ambiguous security mandates into measurable outcomes, sequenced initiatives, clear ownership, and sustainable delivery plans.
- Organize teams around business and technical outcomes, assigning the smallest effective groups and clear owners to each initiative.
- Establish and maintain high engineering standards covering tested code, observability, operational readiness, documentation, and responsible ownership of AI-assisted development.
- Measure success through the risks eliminated, reliability improved, adoption achieved, and business impact delivered rather than simply through completed tickets.
- Communicate complex security risks, uncertainties, trade-offs, and measurable themes to executive stakeholders in a clear and actionable manner.
- Build strong partnerships across platform engineering, SRE, networking, infrastructure, and broader security organizations to deliver initiatives through influence as well as direct leadership.
- Help establish scalable security capabilities that become practical, widely adopted internal products and paved paths for engineering teams.
- Foster an environment of continuous improvement, transparent planning, open reflection, and sustainable engineering practices.
Requirements:
- Typically 7+ years of engineering management experience within a broader career of approximately 14+ years across software engineering, SRE, infrastructure, security engineering, or related technical disciplines.
- Demonstrated success hiring, developing, and retaining high-caliber engineers, including specialists with deeper technical expertise than your own.
- Strong technical credibility in infrastructure, distributed systems, cloud, or security engineering, with the ability to review architecture, challenge technical assumptions, and evaluate engineering estimates.
- Proven ability to take ambiguous, high-impact technical mandates and turn them into measurable, sequenced delivery.
- Working knowledge of cloud-native architectures, Kubernetes, identity and access management, policy enforcement, and vulnerability management.
- Experience delivering through teams and stakeholders outside your direct reporting structure, using influence and strong partnerships to achieve results.
- Strong people leadership skills, including coaching, performance management, hiring, team design, and career development.
- Ability to establish repeatable and fair hiring, interviewing, and calibration practices.
- Strong communication skills, with the ability to translate sophisticated technical and security risks into clear recommendations for executives and cross-functional stakeholders.
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.
- Experience operating effectively in ambiguous, fast-moving environments while maintaining high standards for engineering quality and organizational health.
Nice to have:
- Experience securing or operating high-performance computing environments, large GPU fleets, or multi-tenant cloud platforms at scale.
- Experience building security or infrastructure capabilities as internal products, with measurable adoption and usage outcomes.
- Experience establishing a new engineering function, team, technical practice, or organizational culture from the ground up.
- Demonstrated ability to rapidly scale an engineering team while simultaneously raising technical and operational standards.
- Experience with AI infrastructure, large-scale distributed systems, or security challenges associated with advanced computing platforms.
Benefits:
- Base salary: CAD 245,000–295,000, depending on location, experience, and compensation for comparable positions.
- Equity compensation.
- Comprehensive employee benefits package.
- Remote work from Canada.
- Full-time position with the opportunity to lead teams working on large-scale AI infrastructure and security.
- Opportunity to influence security engineering strategy across complex cloud-native and AI computing environments.
- Work alongside highly experienced engineering, infrastructure, platform, and security professionals.
- Leadership opportunity with significant scope across people, technology, architecture, and organizational strategy.
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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