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Director, DevOps, Security, and IT

AgentSync - Denver, CO, United States - In-office - posted 2026-09-11

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Salary: USD 235,000 - 250,000 / annual

AgentSync is a venture-backed SaaS company (raised $161M from Craft Ventures, Valor Equity Partners, and Marc Benioff) focused on making compliance easier for regulated industries. Founded in 2018 and headquartered in Denver, the company is looking for a Director to lead DevOps, Security, and IT operations. In this role, you will lead teams across three critical functions: cloud infrastructure and delivery pipelines, security programs, and IT operations (identity, endpoints, SaaS). You'll set strategy and own outcomes across all three areas in a fast-moving startup environment. Key responsibilities include: - Setting strategy, roadmap, and measurable goals for DevOps, Security, IT Operations, and AI enablement; prioritizing investments against business needs, risk, and team capacity - Leading, hiring, and developing DevOps, Security, and IT engineers with clear expectations and accountability - Owning reliability, scalability, and cost efficiency of AWS infrastructure (infrastructure as code, containers, networking, capacity planning) - Improving CI/CD and developer self-service; establishing consistent testing, release, and rollback practices - Establishing service-level objectives, observability, and sustainable on-call practices; leading incident response and validating disaster recovery - Owning the security program across cloud infrastructure, identity, endpoints, and SDLC; prioritizing vulnerability remediation, patching, data loss prevention, threat detection, and response - Leading SOC 2 readiness and customer security reviews with Legal and Compliance - Owning IT service delivery (onboarding/offboarding, identity and access management, device management, SaaS administration) - Driving automation across infrastructure, security, and IT to reduce manual work and improve consistency - Leading AI enablement across Engineering and business teams; identifying use cases, evaluating tools, running pilots, and scaling AI coding assistants and workflow automation - Partnering with Legal, Compliance, and business leaders to establish AI usage policies covering sensitive data, vendor data handling, access controls, and human review - Owning infrastructure, security, IT, and AI tooling budgets and vendor relationships - Partnering with Engineering, Product, Legal, and business teams to resolve dependencies and explain technical tradeoffs Requirements: - Significant experience leading DevOps, platform, infrastructure, security, or IT teams with direct people management and responsibility spanning multiple functions; startup or high-growth SaaS experience strongly preferred - Deep hands-on experience operating production AWS infrastructure, including Terraform or comparable infrastructure as code, ECS and EKS/Kubernetes, networking, identity and access management, and cloud cost optimization - Experience owning CI/CD, developer platforms, observability, and service reliability for a SaaS product, including service-level objectives, on-call operations, incident management, and disaster recovery - Experience building or leading a security program covering vulnerability management, cloud and identity security, endpoint protection, secure development, and incident response; ability to prioritize controls and remediation based on business risk - Strong working knowledge of SOC 2, with experience leading audit readiness, maintaining control evidence, and responding to customer security questionnaires and third-party reviews - Experience leading IT operations, including identity lifecycle management, SSO and MFA, endpoint management, SaaS administration, employee support, and automated onboarding and offboarding - Demonstrated experience evaluating, deploying, and driving adoption of generative AI tools across teams (coding assistants, enterprise knowledge tools, AI-enabled workflows) with measurable improvements in productivity or service quality - Practical experience integrating large language model APIs or AI automation platforms with existing systems

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