Infrastructure Engineer

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Kforce has a client in NYC that is seeking an Infrastructure Engineer. Key Responsibilities:

• Provision, configure, and maintain secure sandbox runtime environments within Amazon EKS
• Support deployment and operation of AI execution environments including NVIDIA OpenShell, AWS Bedrock AgentCore, and future runtime platforms
• Implement container isolation controls to ensure workload separation across users, teams, and business units
• Configure Kubernetes policies governing runtime behavior, resource allocation, and security boundaries
• Support platform scalability, availability, and operational resilience
• Design and maintain container image pipelines that support secure software delivery practices
• Automate image certification, versioning, validation, and release processes
• Implement centralized vulnerability scanning and patch management procedures
• Ensure all container images comply with enterprise security and operational standards
• Maintain image repositories and artifact management platforms
• Implement network segmentation strategies that isolate users, workloads, and data domains
• Configure Kubernetes network policies to enforce least-privilege communication patterns
• Design and manage egress control mechanisms for outbound network traffic
• Support policy-based routing through secure proxy and inspection layers
• Partner with security teams to ensure compliance with organizational governance requirements
• Harden Kubernetes clusters and supporting infrastructure using industry security best practices
• Assist with implementation of container security controls, runtime protection, and workload monitoring
• Support identity, authentication, authorization, and access-control initiatives
• Perform vulnerability remediation and security configuration reviews
• Participate in security audits and compliance assessments

Requirements:

• 1-3 years of experience in Cloud Engineering, Infrastructure Engineering, Platform Engineering, Systems Administration, or DevOps
• Hands-on experience with AWS cloud services
• Experience working with Kubernetes environments, preferably Amazon EKS
• Understanding of Docker containers and container lifecycle management
• Experience supporting Linux-based infrastructure
• Familiarity with networking concepts including routing, firewalls, DNS, and network segmentation
• Basic scripting experience using Python, Bash, or similar languages
• Strong troubleshooting and analytical skills

Preferred Qualifications:

• Experience with Kubernetes security controls and policy frameworks
• Exposure to AI, machine learning, or Generative AI platforms
• Familiarity with NVIDIA GPU environments and AI infrastructure
• Experience with AWS Bedrock services or cloud-native AI platforms
• Knowledge of Infrastructure-as-Code tools such as Terraform or CloudFormation
• Experience with container image scanning and software supply chain security tools
• Familiarity with service mesh, proxy technologies, and zero-trust networking models
• Understanding of compliance, governance, and enterprise security frameworks