Cloud Engineering Manager
Quick Summary
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. 8+ years of experience in cloud, infrastructure, or platform engineering.
Overview
We are seeking a Manager, Cloud Engineering to lead the design, development, and operation of scalable cloud platforms across multiple public cloud providers and private infrastructure. This role is responsible for building high‑performing engineering teams, driving cloud and hybrid strategy, and enabling secure, reliable, and cost‑effective infrastructure to support enterprise and product workloads.
The ideal candidate brings deep technical expertise in at least two public clouds, a strong background in Infrastructure as Code (IaC), particularly Terraform, proven experience leading engineering teams, and hands‑on knowledge of hybrid architectures that enable seamless traffic movement between private and public cloud environments.
Key Responsibilities
Cloud & Hybrid Platform Architecture
- Lead the architecture, implementation, and operation of multi‑cloud and hybrid platforms (e.g., AWS, Google Cloud, Azure with on‑prem/private cloud integration).
- Design solutions that enable seamless, secure traffic flow between private infrastructure and public cloud environments, supporting workload mobility, resiliency, and migration.
- Define and evolve cloud landing zones, reference architectures, and shared services aligned with security, reliability, and scalability best practices.
- Partner with network and security teams on connectivity models (e.g., private interconnects, VPNs, routing, traffic engineering).
Infrastructure as Code & Automation
- Own Infrastructure as Code (IaC) standards and practices across cloud and hybrid environments, leveraging tools such as Python, Terraform, Ansible, and similar frameworks.
- Drive automation for provisioning, configuration management, and policy enforcement across private and public cloud platforms.
- Ensure repeatable, auditable, and reliable infrastructure deployments.
Engineering Leadership
- Build, lead, mentor, and grow a high‑performing Cloud Engineering organization.
- Establish clear technical direction, operating principles, and success metrics.
- Foster a culture of ownership, operational excellence, and continuous improvement.
- Lead hiring, performance management, and career development.
Reliability, Operations & Cost Management
- Establish strong operational practices, including incident management, change management, and post‑incident reviews across cloud and hybrid environments.
- Drive cloud and hybrid cost optimization (FinOps), capacity planning, and usage transparency.
- Balance performance, resiliency, and cost across distributed environments.
Cross‑Functional Collaboration
- Partner with application, platform, SRE, security, and network teams to enable cloud adoption and hybrid workload migration.
- Collaborate with finance, procurement, and leadership to align infrastructure investments with business priorities.
- Act as a technical leader and advisor to senior stakeholders on cloud and hybrid strategy.
Requirements
~1 min read- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 8+ years of experience in cloud, infrastructure, or platform engineering.
- 3+ years of people management experience leading engineering teams.
Requirements
~1 min read- Deep hands‑on expertise with at least two public cloud platforms (e.g., AWS & GCP, AWS & Azure).
- Strong experience with Infrastructure as Code.
- Proven experience designing and operating hybrid cloud environments, including traffic routing between private and public infrastructure.
- Strong understanding of networking, security, identity, and distributed systems.
- Experience operating at enterprise scale or in regulated environments.
- Background in DevOps, SRE, or platform engineering models.
- Experience with Kubernetes and container platforms (EKS, GKE, AKS).
- Familiarity with private connectivity, traffic engineering, and hybrid routing patterns.
- Exposure to GPU, AI/ML, or high‑performance workloads.
- Public cloud certifications (AWS, Google Cloud, Azure).
Location & Eligibility
Listing Details
- Posted
- May 12, 2026
- First seen
- May 12, 2026
- Last seen
- May 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 12, 2026
Signal breakdown
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