Job Description
Kforce has a client that is seeking a Network Engineer 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 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
- 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
Job Tags
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