Infrastructure Engineer

Salary: $123,000 - 163,000 per year Requirements:

• 1–3 years of experience in cloud, infrastructure, platform engineering, systems administration, or DevOps
• Hands-on experience with AWS services
• Experience with Kubernetes, preferably Amazon EKS
• Understanding of Docker containers and container lifecycle management
• Experience supporting Linux-based infrastructure
• Familiarity with networking concepts such as routing, firewalls, DNS, and network segmentation
• Basic scripting skills in Python, Bash, or a similar language
• Strong troubleshooting and analytical abilities
• Preferred: Experience with Kubernetes security controls and policy frameworks
• Preferred: Exposure to AI, machine learning, or generative AI platforms
• Preferred: Familiarity with NVIDIA GPU environments and AI infrastructure
• Preferred: Experience with AWS Bedrock or other cloud-native AI platforms
• Preferred: Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation
• Preferred: Experience with container image scanning and software supply chain security tools
• Preferred: Familiarity with service mesh, proxy technologies, and zero-trust networking
• Preferred: Understanding of compliance, governance, and enterprise security frameworks

• Provision, configure, and maintain secure sandbox runtime environments on Amazon EKS
• Support deployment and operation of AI execution environments, including NVIDIA OpenShell, AWS Bedrock AgentCore, and future runtime platforms
• Implement container isolation so workloads remain separated across users, teams, and business units
• Configure Kubernetes policies for runtime behavior, resource allocation, and security boundaries
• Help maintain platform scalability, availability, and operational resilience
• Design and maintain container image pipelines for secure software delivery
• Automate image certification, versioning, validation, and release workflows
• Establish centralized vulnerability scanning and patch management procedures
• Ensure container images meet enterprise security and operational standards
• Maintain image repositories and artifact management platforms
• Implement network segmentation to isolate users, workloads, and data domains
• Configure Kubernetes network policies that enforce least-privilege communications
• Design and manage controls for outbound network traffic
• Support policy-based routing through secure proxy and inspection layers
• Work with security teams to meet organizational governance requirements
• Harden Kubernetes clusters and supporting infrastructure using industry security practices
• Help implement container security controls, runtime protection, and workload monitoring
• Support identity, authentication, authorization, and access-control initiatives
• Remediate vulnerabilities and conduct security configuration reviews
• Participate in security audits and compliance assessments

• AI
• AWS
• Bash
• Cloud
• DevOps
• Docker
• Support
• Kubernetes
• Linux
• Machine Learning
• Network
• Python
• Security
• Terraform
• LESS

More:

We are recruiting for our client in New York City, which is seeking an Infrastructure Engineer to support secure cloud, Kubernetes, and AI runtime environments. Compensation is determined by factors including education, qualifications, certifications, experience, skills, seniority, location, performance, contracts, and business needs; the posted range may change, and compensation is subject to applicable terms. Eligible employees may receive medical, dental, and vision insurance, HSA and FSA options, 401(k), and life, disability, and accidental death and dismemberment insurance. Salaried employees receive paid time off; hourly employees generally do not, subject to applicable law, and hourly employees on Service Contract Act projects are eligible for paid sick leave. The role is not eligible for bonuses, incentives, or commissions. We are an equal opportunity employer and consider qualified applicants without regard to protected characteristics.

last updated 42 week of 2026