Sr. Manager, Cloud and Infrastructure Engineering

Sr. Manager, Cloud and Infrastructure Engineering

We have an exciting opportunity for a Sr. Manager, Cloud and Infrastructure Engineering at UL Research Institutes and UL Standards & Engagement, based in our Evanston, IL office.

The Sr. Manager, Cloud and Infrastructure Engineering, provides strategic leadership for the design, implementation, and management of UL Research Institutes (ULRI) and UL Standards & Engagement (ULSE) enterprise infrastructure. This role oversees both cloud (Azure and AWS) and on-premises environments, ensuring scalability, reliability, security, and cost‑effectiveness across all platforms. It leads a multidisciplinary team of cloud, HPC, system engineers, and managed service providers, partnering with architecture, security, digital platforms, and IT operations teams to deliver a robust technology foundation that supports business growth, scientific research, and digital innovation.

• Lead multi‑year cloud and infrastructure strategy: define and execute strategic roadmaps that align with organizational priorities, ensuring modernization, scalability, and secure hybrid integration across on‑prem and cloud environments.
• Drive modernization and migration initiatives: oversee the design and execution of cloud adoption, data center transformation, and platform upgrades to deliver seamless, resilient, and future‑ready infrastructure with embedded continuous improvement principles.
• Establish engineering standards and best practices: define and enforce policies for infrastructure, cloud usage, automation, and service delivery in alignment with Enterprise Architecture and Information Security.
• Advance automation and Dev Ops maturity: champion Infrastructure as Code, CI/CD pipelines, configuration management, and container orchestration (Kubernetes) to increase speed, consistency, and reliability.
• Implement Fin Ops and cost optimization practices: apply financial operations principles to manage cloud and infrastructure spend, budgeting, and chargebacks, optimizing resource utilization and performance.
• Engineer hybrid and cloud‑native platforms: oversee design, implementation, and maintenance of cloud, on‑prem, and HPC environments that power AI, analytics, and research workloads with high availability and observability.
• Ensure operational excellence and resilience: govern managed service providers, define KPIs/OKRs, and lead post‑incident reviews, disaster recovery, and continuous performance optimization.
• Drive HPC, AI and computation excellence and adoption: lead the design, implementation, and optimization of high‑performance and AI computing infrastructure; ensure scalability, performance tuning, and system integration; and promote HPC adoption across research and engineering teams.
• Collaborate across IT domains and technology teams: partner with Digital Platforms, Operations, and other technology teams to enable infrastructure foundations, APIs, and integration layers that support automation, digital workflows, and data interoperability.
• Develop and empower high‑performing teams: lead, mentor, and grow cloud, system, and HPC engineers through defined roles, structured career paths, and a culture of documentation, knowledge sharing, and continuous learning.

• People: diverse, collaborative team with a focus on independence and transparency.
• Interesting work: opportunities to push the boundaries of human understanding for the public good.
• Grow and achieve: targeted development, reward, and recognition programs.
• Values: collaboration, respect, integrity, and beneficence guide our work.
• Total rewards: comprehensive medical, dental, vision, and life insurance plans, a 401(k) with up to 5% matching, additional retirement contributions, flexible work arrangements, and paid time off.

• Proven experience leading enterprise‑scale infrastructure and cloud engineering functions in hybrid or multi‑cloud environments.
• Deep understanding of IaaS and PaaS solutions across Azure and AWS, with a preference for Azure expertise.
• Expertise in automation and Infrastructure as Code using Terraform, ARM templates, Chef, and Ansible.
• Strong…