MVP, Cloud Engineering & Operations (Enterprise Technology Operations)
On-siteStamford, Connecticut, United States or Irving, Texas, United States
Job Summary
MVP, Cloud Engineering & Operations at Gartner leads global cloud strategy across AWS, Azure, Google Cloud, private cloud, and on-prem environments, ensuring scalable, secure, and highly resilient cloud platforms to support enterprise digital transformation. The role drives operational excellence through automation, observability, and Site Reliability Engineering (SRE) practices to maximize uptime, performance, and efficiency in a hybrid cloud landscape. As cloud subject-matter expert, the holder provides data-driven insights and performance reports, links cloud initiatives to business outcomes, and champions secure by design DevOps integrated into CI/CD pipelines and infrastructure-as-code. The position requires leading a global team of cloud engineers, architects, and operations professionals, with strong collaboration across IT, Security, Application Development, and business units, and the ability to communicate strategy to C-level stakeholders. Attractive compensation in a hybrid work environment with career growth opportunities and a culture of innovation.
Required Qualifications
- 10+ years of IT infrastructure/cloud engineering experience, including significant senior leadership roles in large, global enterprises
- Proven track record of managing complex, hybrid cloud environments at scale and leading large teams to deliver reliable services
- Deep technical expertise in multi-cloud and hybrid infrastructure – hands-on proficiency with AWS, Azure, and Google Cloud platforms, as well as private cloud/data center environments
- Strong knowledge of virtualization, networking, storage, and other foundational infrastructure domains
- Strong DevOps and automation skills – experience with Infrastructure-as-Code (IaC) and CI/CD pipelines for cloud deployments
- Demonstrated ability to implement secure, automated build/deployment processes and apply SRE principles to improve reliability
- Innovative mindset with AI/ML exposure – familiarity with emerging technologies such as artificial intelligence; experience enabling the use of Large Language Models (LLMs) or AI-driven solutions in an enterprise setting is a plus
- experience enabling FinOps; adept at managing cloud budgets and driving cost optimization initiatives
- Able to analyze usage patterns and implement governance (e.g., cost allocation, capacity planning) to ensure cost-effective operations
- Excellent communication and stakeholder management – proven ability to engage with C-level executives and present technology strategies and status in business terms
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
- Relevant industry certifications (e.g., cloud provider architect certs, ITIL, PMP/PgMP, or DevOps/SRE certifications) are highly desirable
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