Cloud Infrastructure Program Manager
About The Position
The Cloud Infrastructure Program Manager leads large-scale platform infrastructure, cloud modernization, and infrastructure transformation programs. The role oversees end-to-end program delivery and coordinates infrastructure, platform, DevOps, SRE, security, networking, application, and operations teams to meet business and technology objectives. Responsibilities span roadmap and resource planning, budgets, timelines, risks, dependencies, governance, executive reporting, vendor engagements, reliability and disaster recovery readiness, and compliance with security, regulatory, audit, and risk requirements. The role also supports infrastructure automation, CI/CD adoption, Infrastructure as Code, platform standardization, and operational efficiency. It includes guiding the use of agentic IDEs and autonomous coding agents for complex, multi-module and cross-service changes; defining architecture, workflows, guardrails, permissions, review practices, and quality checks; and evaluating effects on the SDLC, CI/CD, security, compliance, and technical debt. The position is a contract role with CitiusTech, located in Edina, Minnesota or Chicago, Illinois, with three days of work from the office.
Requirements
- 10+ years of experience in technology delivery, infrastructure, platform engineering, or technical program management.
- Proven experience managing enterprise infrastructure or cloud transformation programs.
- Strong understanding of cloud platforms (Azure, AWS, or GCP), networking, compute, storage, and security.
- Experience working with DevOps, SRE, infrastructure operations, and engineering teams.
- Strong project and program management skills, including Agile and hybrid delivery models.
- Excellent stakeholder management, communication, and leadership skills.
- Experience managing budgets, vendor relationships, and cross-functional global teams.
- Engineering degree: BE, ME, BTech, MTech, BSc, or MSc.
- Proven experience architecting and delivering systems using agentic IDEs.
- Ability to define architectural intent agents can follow, break features into agent-executable tasks, govern AI autonomy through guardrails and reviews, and integrate agentic workflows into CI/CD pipelines.
- Experience supervising AI agents across multi-service systems, legacy modernization, and large codebases or monorepos.
- Strong understanding of security implications of autonomous code execution, compliance, auditability, traceability, and AI-assisted SDLC operating models.
Nice To Haves
- Technical certifications in multiple technologies are desirable.
- PMP, PgMP, Agile, Scrum Master, ITIL, or cloud certifications.
- Experience with Kubernetes, Terraform, Infrastructure as Code, and observability platforms.
- Exposure to platform engineering, self-service infrastructure, and cloud-native architectures.
- Experience driving large-scale infrastructure modernization and operational transformation programs.
Responsibilities
- Lead end-to-end delivery of platform infrastructure programs aligned with business and technology objectives.
- Drive cloud infrastructure, data centre modernization, platform engineering, and infrastructure transformation initiatives.
- Manage roadmaps, budgets, timelines, risks, dependencies, and resource planning across multiple concurrent programs.
- Coordinate infrastructure, platform, DevOps, security, networking, application, SRE, and operations teams.
- Establish governance frameworks, KPI tracking, executive reporting, and program review mechanisms.
- Drive infrastructure reliability, scalability, availability, performance, and disaster recovery readiness.
- Partner with SRE and operations teams to improve platform stability and operational efficiency.
- Oversee vendor engagements, managed service partners, and third-party technology providers.
- Ensure compliance with enterprise security, regulatory, audit, and risk management requirements.
- Support infrastructure automation, CI/CD adoption, Infrastructure as Code, and platform standardization.
- Facilitate issue resolution, escalation management, and stakeholder decision-making; communicate program status, milestones, risks, and mitigation plans to senior leadership.
- Guide effective use of agentic IDEs for complex, multi-module or cross-service changes and establish review practices and quality checks for AI-generated code.
- Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development.
- Design system architectures that support AI-augmented and agentic development workflows.
- Define guardrails, standards, and governance for autonomous coding agents.
- Evaluate the impact of agentic IDEs on the SDLC, CI/CD pipelines, security posture, and technical debt.
