Req ID: 487184
Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development
Role SummaryThe Manager of Cloud Platform Operations leads a team of Cloud Platform Operations Engineers responsible for the stability, performance, and continuous improvement of the enterprise's Azure- and AWS-based cloud platform and distributed edge compute environments. This hands-on leadership role ensures high system reliability, rapid incident response, and operational excellence in a fast-paced, ticket-driven environment.
The manager provides technical direction, operational oversight, and people leadership while driving automation, AI-enabled operations, and scalable support practices. This role partners closely with other infrastructure, engineering, and security teams to ensure the cloud platforms are secure, cost-optimized, and aligned with enterprise goals.
ESSENTIAL DUTIESTeam Leadership & Operational Management- Lead, mentor, and develop a team of Cloud Platform Operations Engineers, fostering a culture of ownership, accountability, and continuous improvement.
- Oversee daily operational activities, ensuring timely response to incidents, service requests, and operational tasks.
- Prioritize and assign work across a ticket-driven environment with defined SLAs.
- Conduct performance reviews, coach team members, and support career development pathways.
Cloud Platform Oversight- Ensure reliable operation of AWS and Azure infrastructure and edge compute environments.
- Provide escalation support for complex issues spanning compute, storage, networking, access, and hybrid integrations.
- Validate and approve changes, deployments, and infrastructure modifications to maintain platform stability.
Incident Management & Problem Resolution- Oversee major incident response, ensuring rapid restoration of service and clear communication to stakeholders.
- Lead root cause analysis efforts and ensure corrective actions are implemented and documented.
- Identify systemic issues and drive long-term remediation through automation, design improvements, or process changes.
Automation, IaC, & AI-Enabled Operations- Champion an automation-first culture, ensuring repeatable tasks are codified using Terraform, CloudFormation, or scripting.
- Guide the team in leveraging AI tools (LLMs, copilots, log analysis platforms) to accelerate diagnostics and operational workflows.
- Partner with engineering teams to develop intelligent runbooks, automated workflows, and AI-assisted operational capabilities.
Platform Performance, Cost Optimization & Reliability- Monitor platform health, performance, and cost utilization; drive proactive improvements.
- Implement cost-control strategies and ensure efficient use of cloud resources.
- Support reliability engineering practices to improve uptime, resilience, and service continuity.
Hybrid & Edge Environment Leadership- Oversee support for edge compute and virtualization environments, ensuring connectivity and synchronization with cloud platforms.
- Guide troubleshooting efforts for hybrid infrastructure issues spanning on-premise, edge, and cloud systems.
Documentation, Standards & Operational Excellence- Ensure the team maintains accurate runbooks, SOPs, and knowledge articles.
- Drive operational discipline, consistency, and adherence to best practices.
- Promote knowledge sharing and cross-team collaboration across infrastructure, engineering, and security groups.
SKILLS & QUALIFICATIONSExperience- 6-10+ years of experience in cloud or infrastructure operations, including AWS and/or production environments.
- 2-4+ years of leadership experience (team lead, supervisor, or manager) in a technical operations setting.
- Demonstrated success leading teams in ticket-driven environments with SLAs and incident management processes.
- Hands-on experience with Infrastructure-as-Code (Terraform preferred) and automation tooling.
- Experience supporting hybrid or distributed environments, including edge compute or virtualization platforms.
- Familiarity with AI-enabled operational tooling and practices.
Technical Skills - AWS core services: EC2, S3, IAM, VPC, etc.
- Azure core services: Azure VMs, Blob storage, Azure AD, VNets, etc.
- Infrastructure as Code: Terraform, CloudFormation.
- Systems administration (Linux, Windows).
- Monitoring, observability, and incident response tooling.
- Networking fundamentals: DNS, routing, firewalls, connectivity troubleshooting.
- Automation/scripting (Python, Bash, or similar).
- Cloud security fundamentals: IAM, access controls, and best practices.
Soft Skills- Strong people leadership with the ability to coach, mentor, and develop technical talent.
- Excellent decision-making under pressure, especially during high-impact incidents.
- Ability to translate complex technical issues into clear, actionable communication.
- Strategic mindset with a focus on operational excellence and continuous improvement.
- Highly collaborative, working effectively across infrastructure, engineering, and security teams.
- Strong organizational skills with the ability to manage competing priorities.
Education:- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field required.
- Master's degree or relevant certifications (AWS, Microsoft, ITIL) preferred.
WORK ENVIRONMENT- Prolonged sitting, some bending and stooping
- Eye strain (screen use)
- Manual dexterity sufficient to operate a computer keyboard and calculator
- Occasional lifting of up to 25 pounds
- Requires normal range of hearing and vision
- Additional hours may be necessary.
Note: The items identified above are representative of those commonly associated with this position but are not exhaustive. Employees may encounter additional or unforeseen responsibilities in the course of their duties.
- This job description should not be construed to imply that these requirements are the exclusive standards of the position. All employees may be required to follow any other instructions, cross train in other positions, and perform other duties as required by workloads.
