WHO YOU’LL WORK WITH

The Cloud & Core Engineering team builds, operates, and provides full lifecycle management of Nike's fully managed, multi-cloud platform and software-defined network, the foundation that enables self-service cloud, data, and AI environments for Nike Global Technology. Cloud and Core Engineering team is part of Foundational Services, AI & Security Technology domain. You will be reporting to Software Engineering Director. You will spend much of your time with Software Engineers in Cloud Engineering and adjacent teams.  You will also partner closely with other Engineering Managers, Principal Engineers, Engineering Directors, and Product Managers in both foundational and business facing technology domains.

WHO WE ARE LOOKING FOR

We are looking for an Engineering Manager to lead the layer responsible for multi-cloud access and entitlement management, account lifecycle, resource attribution, cloud governance and policy guardrails, and cloud economics including unit-cost optimization. This is a high-ownership, high-visibility, hands on engineering leadership role, not a coordination role. The ideal candidate will be a servant leader, bringing deep technical expertise in Cloud Engineering to solve complex engineering problems to enable Nike’s pursuit to deliver state of the art Enterprise Cloud infrastructure to run Nike’s business and support our athletes.

• Minimum 12+ years of experience in software engineering, with a focus on cloud infrastructure engineering in an multi cloud ecosystem including architecture, deployment and management of enterprise cloud solutions.

• 5+ years of leadership experience, including at least 3 years at Manager level or equivalent, managing senior engineers and engineers in a GCC or distributed engineering model.

• Demonstrated track record of building and retaining talent in a competitive engineering market; not just managing existing teams but growing them.

• Experience co-owning a product or platform with a global counterpart, driving alignment on priorities, architectural decisions, and operating model without escalation dependency.Ability to mentor and guide a team of cloud engineers.

• Strong grasp of software engineering fundamentals including system design, testing, maintainable code, API design, and scalability

• Ability to go deep in architecture and code reviews, challenge technical decisions credibly, and raise the engineering bar through firsthand engineering experience.

• Hands on experience in cloud infrastructure automation using tools like Kubernetes, Terraform, Ansible, or CloudFormation

• Prior experience as a backend or platform engineer building APIs, services, workflows, and developer-facing systems not just managing infrastructure or vendor tools.

• Experience building control plane or platform capabilities as software products, including orchestration, policy enforcement, entitlement workflows, and resource lifecycle management.

• Fluency in modern software architecture: microservices, event-driven patterns, REST/GraphQL API design, domain-driven design, and security-by-design at the platform layer.

• Strong coding background with the ability to design, review, and debug production-quality software in Python, Go, or Java.

• Experience with front-end web application technologies (JavaScript, CSS, html5, React, other UI Frameworks etc.)

• Experience with implementing and integrating AI, Machine Learning to accelerate automation.

• Hands-on with infrastructure-as-code and control-plane tooling, Crossplane, Terraform, CDK, or similar

• Strong written and verbal communication across audiences

• Agile / DevOps practitioner — experience running squads with CI/CD, SLO-based operations, and blameless post-mortems as standard practice, not aspirational goals.

• Bachelor's degree in Computer Science, Engineering, or a demonstrably equivalent technical background.

• AWS Solutions Architect, Developer or Azure equivalent certification will be and added benefit.ior experience with cloud governance, entitlements, or policy systems - IAM/RBAC design, SCP/policy guardrails or similar at enterprise scale

• Exposure to AI-assisted platform operations - AIOps or intelligent policy enforcement