Cloud Engineer (GCP, Azure, AWS)

experience, and platform reliability* Champion a culture of continuous improvement, innovation, and operational excellence through the adoption of automation and AI-first operational practices* Serve as the primary technical resource for managed services customers, driving technical conversations with both the customer and internal account teams* Communicate effectively with customers regarding incidents, service requests, maintenance activities, and change implementations* Deliver high-quality customer service while maintaining SLA commitments* Mentor team members and lead technical initiatives that raise the bar on service delivery, operational efficiency, and engineering best practices* Provide technical leadership during complex incidents, guiding engineers through troubleshooting, root cause analysis, and long-term corrective actionsRequirements* AWS or GCP certification (or ability to obtain within 90 days)* 6+ years supporting AWS & GCP core services (compute, networking, identity

storage, monitoring, security)* 3+ years building automation with Python, IaC (Terraform, CloudFormation, Deployment Manager), APIs, and orchestration tools* 3+ years supporting enterprise infrastructure, cloud operations, managed services, or platform engineering* Experience leveraging AI tools and automation to improve operational efficiency* Hands-on experience with REST APIs, cloud-native services, and containerized workloads* Strong troubleshooting, analytical, and systems-thinking skills* Excellent written and verbal communication skills* Ability to meet public sector background screening requirementsPreferred Qualifications:* Experience working within an AWS/GCP Managed Service Provider (MSP)* Production experience across AWS, Azure, and GCP* Experience building AI-powered workflows, automation, and operational solutions* Experience with agentic workflows, AI orchestration, AIOps, observability, and intelligent event correlation* Experience developing RAG or AI-assisted support solutions* Experience troubleshooting complex EKS, AKS, or GKE environments* Familiarity with LLMs, generative AI, AI assistants, and platforms such as Bedrock, Azure OpenAI, Anthropic Claude, and OpenAI APIs* Knowledge of cloud cost optimization across AWS and GCPJob TypeContractCompensation75 - $75

DescriptionKforce has a client that is seeking a Cloud Engineer (GCP, Azure, AWS) in Fulton, MD.Responsibilities:* Diagnose complex operational issues quickly* Understand cloud architecture well enough to identify root causes* Use AI effectively to accelerate investigation and resolution* Build automation and AI-driven workflows to eliminate repetitive work* Learn new cloud services rapidly as AWS and GCP continue to evolve* Manage and support cloud-native services including compute, storage, networking, identity, monitoring, and security services* Develop and maintain Infrastructure-as-Code (e.g., Terraform, CloudFormation, Google Deployment Manager) to support consistent, repeatable infrastructure deployments* Create and maintain runbooks, knowledge base articles, and technical documentation to support consistent service delivery and knowledge transfer* Measure and report on automation and AI initiatives, demonstrating improvements in operational efficiency, service delivery, customer