Manager - VMaaS and CaaS Platforms - Enterprise and Labs

Job Details:

Job Description:

Intel is the world's largest semiconductor company and a global leader in computing innovation. For over 50 years, Intel has been creating world-changing technology that enables global progress and enriches lives. From powering the cloud and billions of smart, connected computing devices to enabling breakthrough technologies like artificial intelligence, 5G, and autonomous driving, Intels work is at the heart of countless innovations. Join our team of brilliant minds and help shape the future of technology.

The Manager of Virtual Machines as a Service (VMaaS), and Containers as a Service (CaaS) Platforms team, is accountable for the end-to-end ownership, reliability, and evolution of Intels VMaaS and CaaS platforms across Enterprise IT and Labs.

This role ensures stable operations, scalable architecture, and disciplined lifecycle management of VMaaS and CaaS environments, while leading the transition through platform modernization, EOL migrations, AI and automation driven operations.

The primary responsibilities for this role will include, but are not limited to:

• Platform Ownership and Accountability.
• Own VMaaS and CaaS platforms end-to-end, including architecture, operations, lifecycle, security posture, and service quality.
• Act as the single accountable owner for platform outcomes, aligning responsibility, authority, and execution.
• Ensure consistent service delivery for both Enterprise IT and Labs workloads, balancing scale, performance, and resilience.
• Operational Excellence.
• Ensure 24x7 availability, incident response readiness, and operational stability.
• Drive standardization, patching, upgrades, and vulnerability remediation.
• Improving process maturity, automation, and capacity planning.
• Platform Modernization and Transformation.
• Lead major platform initiatives including: VMware EOL and HyperV migration, Provisioning tooling transition (VRA replacement / iLab adoption), Kubernetes version upgrades and lifecycle alignment,
• Security and Compliance.
• Ensure platforms meet Intel security, Information Security, and audit requirements.
• Own remediation of platform level vulnerabilities, configuration drift, and compliance gaps.
• Embed security into platform design, upgrades, and operational workflows.
• AI Enabled Operations and Efficiency.
• Drive the adoption of AI and automation tools to improve operational efficiency, reduce manual work, and lower run costs across VMaaS and CaaS platforms.
• Leverage AI assisted operations for proactive incident detection and noise reduction.
• Promote use of AI powered tooling for operational insights and dashboards and Intelligent alerting and trend analysis.
• Identify opportunities where AI can replace or reduce human intensive processes, helping rebalance senior talent away from pure run work toward engineering and transformation.
• People Leadership and Talent Development.
• Lead and develop a highly skilled platform team spanning VM, Kubernetes, and automation expertise.
• Build succession depth and reduce single point of failure dependencies.
• Create a motivating environment that balances KTBR work with innovation and engineering growth, particularly for senior talent.
• Stakeholder and Partner Management.
• Serve as the primary interface to: Application teams, Labs stakeholders, Enterprise IT leaders, Strategic vendors, Set clear expectations on service boundaries, SLAs, and platform responsibilities.

A successful candidate will have proven experience demonstrating the following skills and behavioral traits:

• Proven leadership of largescale infrastructure or platform teams.
• Strong background in: Virtualization platforms (VMware, HyperV), Kubernetes / container platforms,
• Infrastructure automation and lifecycle management.
• Experience operating mission critical platforms at enterprise scale.
• Skills to lead through transformation under cost and headcount pressure.
• Strong familiarity with AI assisted IT operations concepts and tools, including their application to infrastructure, Kubernetes, and platform operations.
• Handson and leadership experience using AI and automation to improve operational efficiency.
• People Leadership and Management.
• Proven experience leading, coaching, and developing high performing technical teams in complex, high pressure environments.
• Skills to build engagement, accountability, and trust, especially in globally distributed teams.
• Excellent communication skills to clearly articulate complex technical and operational topics.

Qualifications:

Minimum Qualifications:

Minimum qualifications are required to be initially considered for this position.

• Bachelor's degree in computer science, software engineering, computer engineering, information systems, or closely related technical field.
• 5+ years of people management experience leading infrastructure or platform engineering teams of 10+ engineers.
• 3+ years of hands-on technical experience with virtualization platforms (VMware vSphere, Hyper-V) AND container orchestration platforms (Kubernetes, OpenShift, or Docker Swarm)

Preferred Qualifications:

Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

• Master's degree in computer science, software engineering, computer engineering, or related technical field.
• Cloud certifications (AWS Solutions Architect, Azure Solutions Architect, Google Cloud Architect, CKA, or CKAD).
• 2+ years of experience in:
  • People management in infrastructure or cloud platform organizations
  • Managing teams of 15+ engineers across multiple technical disciplines
  • Public cloud platforms (Azure, AWS, GCP) including IaaS, PaaS, and container services
  • Designing and operating hybrid or multi-cloud environments
  • Infrastructure automation tools (Terraform, Ansible, Puppet, Chef)
  • AI/ML operations tools (Datadog AI, Splunk ITSI, Dynatrace Davis, or similar AIOps platforms)
  • CI/CD platforms (Jenkins, GitLab CI, Azure DevOps, or GitHub Actions)
  • Operating platforms supporting 1000+ virtual machines or 100+ Kubernetes clusters
  • Enterprise monitoring and observability tools (Prometheus, Grafana, ELK Stack, Splunk)
  • Enterprise security and compliance frameworks (SOX, ISO 27001, NIST)

This position is not eligible for Intel immigration sponsorship.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Costa Rica)

Primary Location:

Costa Rica, San Jose

Additional Locations:

Business group:

IT is the trusted technology partner for Intel's business, relentlessly focused on the experience of our people, our end users, and our customers. We design and support Intel's IT infrastructure, driving e-Commerce and web services with a focus on robust security and identity protection.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.