Cloud Engineer (GCP, Azure, AWS)

Kforce Inc; Fulton (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Kforce is seeking a Cloud Engineer in Fulton, MD to support AWS and GCP core services, develop automation, and drive AI-driven improvements. You will manage cloud-native services, implement IaC with Terraform/CloudFormation/Deployment Manager, and contribute to operational excellence.

Ideal candidates have 6+ years in cloud operations, strong scripting skills, and experience with MSP-like environments. This role requires collaboration with customers, engineers, and account teams to raise service

Qualifications

• 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.

Responsibilities

• Understand cloud architecture to identify root causes.
• Build automation and AI-driven workflows to reduce repetitive work.
• Develop and maintain Infrastructure-as-Code to support consistent deployments.
• Create and maintain runbooks, knowledge base articles, and technical documentation.

Skills

Cloud architecture

AWS & GCP proficiency

Python scripting

REST APIs

Communication skills

Tools

Terraform

CloudFormation

Deployment Manager

Kubernetes

Job description

Kforce has a client that is seeking a Cloud Engineer (GCP, Azure, AWS) in Fulton, MD. Responsibilities:

Responsibilities

• 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 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 actions

Requirements

• 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 requirements

Preferred 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 GCP

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.