Cloud Platform Manager

Truist•Charlotte, NC

4d•Onsite

About The Position

The Cloud Platform Manager is a hands-on technical leader responsible for enabling application teams to successfully adopt and optimize the enterprise cloud platform. This role drives developer experience, self-service capabilities, and cloud-smart engineering culture, with a primary focus on AWS, while maintaining security, cost, and reliability standards. The role begins as an individual contributor with expectation to grow and lead a small team over time.

Requirements

AWS – Deep hands-on expertise (EC2, S3, RDS, Lambda, IAM, VPC, EKS, CUR Files, etc.)
Terraform – Strong working knowledge
GitLab CI/CD – Experience with pipeline enablement and onboarding application teams
Python – Required for automation, tooling, and toil-reduction solutions
Cloud Security – IAM policies, SCPs, security groups, guardrails, and compliance controls
Containerization – Docker, Kubernetes/EKS
Azure – Working knowledge preferred given multi-cloud scope
Agentic AI – AWS Strands, FastAPI, Amazon Bedrock, Bedrock AgentCore with Guardrails
Monitoring & Observability – CloudWatch or equivalent
Bachelor’s degree and fifteen to twenty years related experience or equivalent combination.
Excellent knowledge of technical management and data governance.
Knowledge of current trends in IT hardware and systems software field.
Database management skills with the ability to produce reports.
Familiarity with the support and troubleshooting of personal computers and tablet devices.
Analyze situations, evaluate alternatives, and implement robust solutions.
Interpret guidelines and analyze information to adapt or modify processes in response to changing circumstances.
Duties may require non-routine analysis, research and follow-through.
The position requires strong problem solving and analytical skills with the ability to work independently and exercise sound judgment.
The ability to make commitments and be willing to be held accountable against them, organizing workloads to meet deadlines.
Exhibit adaptability to accept or bring about change when needed.
Strong written and verbal communication skills.
The ability to excel in a team environment and advance overall team objectives.
The ability to ensure customer satisfaction by delivering excellence in products and service.
Ability to work and communicate with peers, vendors, internal staff, including software program leadership and others.
Consistently demonstrate professional, positive, and approachable attitude, demeanor and discretion.
Demonstrate sensitivity in handling confidential information.
Formulate and clearly communicate ideas to others.
Fluency in English.
Financial responsibility may include working within a budget to complete projects, negotiating and contracting with vendors and assisting with budget development.
Purchase equipment and supplies as provided for in the budget.
Ability to manage personnel with little supervision.

Nice To Haves

AWS certification(s) preferred (e.g., Solutions Architect, DevOps Engineer)
Experience in a platform engineering, cloud enablement, or Cloud Center of Excellence (CCoE) role at enterprise scale
Demonstrated experience building internal developer platforms or self-service tooling
Experience with FinOps practices and cloud cost governance
Hands-on experience with agentic AI frameworks, AWS Strands, FastAPI, Amazon Bedrock, and Bedrock AgentCore with Guardrails
Azure experience a plus given multi-cloud environment
Strong coaching and mentoring skills with a track record of improving developer experience and cloud adoption culture
Comfortable operating with ambiguity and driving clarity through structured problem solving

Responsibilities

Platform Enablement & Developer Experience: Primary enabler for application teams migrating to and operating on AWS. Drive self-service adoption of enterprise Terraform modules and GitLab pipelines owned by partner teams. Reduce friction and improve day-to-day experience of app teams on the platform. Make cloud migrations repeatable through improved tooling, patterns, and guidance.
Automation & Toil Reduction: Build Python-based solutions to automate and eliminate toil, improving resiliency. Drive adoption of standard templates, approved libraries, and enterprise frameworks.
Optimization & Reliability: Continuously identify opportunities for cost optimization, and platform improvements. Ensure adoption of security best practices and improve reliability through proactive engineering.
Cross-Team Partnership: Identify gaps, gather requirements, and partner closely with peer teams to deliver cohesive solutions. Communicate platform standards and best practices; drive consistent adoption across application teams.
Innovation: Leverage agentic AI capabilities (Strands, FastAPI, Bedrock AgentCore with Guardrails) to solve platform challenges and improve developer experience. Bring curiosity and excitement to building better engineering solutions.