At Presidio, we're at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI.

We empower businesses - and their customers - to achieve more through innovation, automation, and intelligent insights.

The Role :

Strategic Ownership & Leadership :

- Own and manage the cloud ecosystem across AWS, Azure, and GCP, ensuring they operate with high efficiency, strong governance, and predictable costs.

- Lead a small team of cloud engineers, guiding and coaching them in roadmap creation, prioritization, execution, and skills development.

- Act as a strategic advisor to engineering, architecture, and business stakeholders on sandbox governance, usage patterns, and optimization strategies.

- Establish and enforce policies for onboarding, offboarding, resource lifecycle, and access management for users.

Operational Excellence & Automation :

- Design and implement automation for sandbox provisioning, quota management, access approval workflows, scheduling, and spin-up/spin-down processes.

- Develop and maintain reusable automation frameworks (Terraform, Ansible, Python, Cloud-native tools) for repeatable lab operations.

- Create self-service capabilities and guardrails for sandbox users to reduce manual effort and improve governance.

- Collaborate on lab, demo, and proof of concept engagements with internal and external stakeholders.

FinOps, Cost Governance & Optimization :

- Implement a FinOps-aligned operating model for all accounts including tagging standards, cost allocation, budget enforcement, and showback/chargeback across all clouds.

- Continuously analyze cloud spend trends, forecast usage, and proactively identify opportunities for rightsizing, decommissioning, and efficiency improvements.

- Build automation for policy-based cleanup of unused/idle resources.

Security, Governance & Compliance :

- Define and implement security guardrails, baseline configurations, identity/access rules, and monitoring policies for sandbox environments.

- Ensure compliance with organizational governance controls and enforce boundaries between sandbox and production environments.

- Implement monitoring dashboards, alerts, and operational metrics to ensure visibility and control.

Innovation & Continuous Improvement :

- Proactively introduce new approaches, tools, and technologies to make lab and demo operations more efficient, secure, and cost-effective.

- Conduct periodic reviews of account usage patterns to identify opportunities for consolidation, automation, or architectural improvements.

- Partner with cloud providers, vendors, and internal teams to evaluate new services and establish best practices.

Required Skills & Qualifications :

- 8+ years of experience in cloud infrastructure, DevOps, or cloud operations roles, with at least 3 years in a technical leadership or team lead position.

- Strong hands-on expertise with at least one major cloud provider (AWS, Azure, or GCP) and working knowledge of the other two.

- Demonstrated experience in managing large or multi-tenant cloud environments, including governance, account/projects/subscription management.

- Strong automation experience using Terraform, CloudFormation, Python, PowerShell, Ansible, or similar tools.

- Understanding of Cloud Networking Concepts, such as AWS VPCs, Transit Gateways, Azure VNets, Public DNS with AWS Route 53 and VPN tunnel creation from the hyperscaler side.

- Familiarity with Cloud Compute and Storage such as EC2 Instances, Azure Virtual Machines, Google Compute Engine, AWS S3/EBS/EFS and/or Azure Disk Storage.

- Proven expertise in FinOps, cloud cost governance, and optimization frameworks.

- Strong understanding of cloud security, IAM, guardrails, monitoring, and policy management.

- Excellent communication, stakeholder management, and mentoring skills.

Preferred Qualifications :

- Professional certifications: AWS Solutions Architect / Azure Architect Expert / GCP Professional Cloud Architect.

- Prior experience in managing demo or lab environments, platform engineering, or multi-cloud landing zones.

- Experience with cost analytics tools (CloudHealth, Flexera, Cloud Custodian, Kubecost, native cost tools).

- Knowledge of container platforms (Docker, Kubernetes) and CI/CD workflows.

- Exposure to Cloud Centers of Excellence (CCoE) or platform engineering teams.