DevOps & Tooling Manager

HPE•San Juan, PR

7d•Hybrid

About The Position

The DevOps & Tooling Manager leads the design, migration, and ongoing operation of automation, developer tooling, CI/CD pipelines, and engineering infrastructure within HPE Networking's global engineering community. The role is critical in migrating engineering tools and workflows to Puerto Rico, establishing a high-performing team, and driving the broader tooling roadmap aligned with organizational goals.

Requirements

10+ years of experience in DevOps, SRE, and tooling engineering, with at least 3 years in managerial roles.
Proven experience managing large-scale release engineering, platform migration, and automation projects without service disruption.
Strong technical skills in Python, containerization (Docker, Kubernetes), Linux, Infrastructure as Code (Terraform, Ansible), and observability practices.
Excellent communication skills, with a track record of collaboration across global teams.
Bachelor's degree in Computer Science, Software Engineering, or related field

Nice To Haves

Advanced degrees preferred.
Experience with scaling build systems (e.g., Bazel, Gradle) and managing artifact repositories.

Responsibilities

Own the migration of engineering tools, CI/CD pipelines, and workflows for HPE Networking products into the Puerto Rico environment, ensuring seamless transition without disrupting ongoing releases.
Hire, mentor, and develop a high-performing engineering team, setting technical standards and direction.
Prioritize and own the developer tooling and infrastructure roadmap for Puerto Rico, aligning it with global engineering needs and HPE Networking strategies.
Ensure service reliability, manage on-call and incident response, and reduce downtime through blameless postmortems.
Contribute directly to technical problem-solving, technical setup, and unblocking engineers.
Drive continuous improvement in CI/CD pipelines, build systems, and artifact management, aiming to reduce build/test cycle times and improve stability.
Manage containerized platforms and cloud infrastructure using Kubernetes, Terraform, and Ansible, delivering self-service capabilities.
Embed security into the release process, including SAST/DAST, SBOM, and vulnerability management.
Partner with global engineering teams, release, product, and support teams across geographies to define requirements and communicate progress.
Apply AI/ML models and AI agents to automate workflows, surface insights, and implement AI-Driven Ops, aligning with organizational strategic goals.