> Markdown version of [/jobs/ext/3697526-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/3697526-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer - **Company:** Kforce Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Engineering, Computer Networks, Linux, DevOps, Domain Name System (DNS), OSI Models, Python (Programming Language), Machine Learning, Routing, Network Segmentation, Cloud Services, Zero Trust Network Access, Management of Software Versions, Software Vulnerability Management, AI Infrastructure, Scripting, Istio, Software Troubleshooting, AgentCore, Generative AI, Firewalls (Computer Science), Cloudformation, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Patch Management, Terraform, Docker, Vulnerability Analysis - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/3d7f0d9f-c07b-4059-a5a9-94c062d66fcd ## About the Role * 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 ## Description Kforce has a client in NYC that is seeking an Infrastructure Engineer., * 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