Job Description

Senior Network & Security Engineer Senior Network & Security Engineer with a minimum of 5 years of professional experience in enterprise networking, cybersecurity, and infrastructure security. Will be responsible for designing, implementing, and securing network and infrastructure environments supporting enterprise applications, AI/ML workloads, Kubernetes, on-premises infrastructure, and cloud platforms . Key Responsibilities Design, implement, and maintain secure enterprise network architectures . Configure and manage firewalls, VPNs, routers, switches, load balancers, and network security controls . Design secure connectivity between on-premises data centers, cloud environments, and Kubernetes clusters . Support secure deployment of AI/ML platforms and applications across on-premises and cloud environments . Define network segmentation and security zones for applications, databases, AI/ML workloads, and management infrastructure. Implement and manage network access controls, firewall policies, VPNs, and secure remote access . Secure communication between frontend, backend, APIs, databases, AI/ML services, and external systems. Implement and manage TLS/SSL certificates, encryption, secrets, and secure communication protocols . Monitor network traffic, securityevents, and infrastructure health. Investigate and troubleshoot network and security incidents. Perform security assessments and identify vulnerabilities and configuration weaknesses. Support vulnerability management, remediation, and security hardening activities. Implement appropriate Identity and Access Management (IAM) and Role-Based Access Control (RBAC) . Work with DevOps and MLOps teams to integrate security into CI/CD and deployment pipelines . Review infrastructure and application architectures from a security and network perspective. Establish security controls for Kubernetes clusters and containerized workloads. Support security requirements for AI/ML models, APIs, data pipelines, and AI services . Maintain network and security documentation, diagrams, configurations, and operational procedures. Participate in incident response, root-cause analysis, and security remediation activities. Kubernetes & AI/ML Security Secure on-premises and cloud Kubernetes environments . Implement Kubernetes RBAC, Network Policies, secrets management, and workload isolation . Secure communication between Kubernetes services and external enterprise systems. Support secure deployment of ML models, inference services, LLMs, RAG applications, and AI agents . Secure AI/ML APIs and external model-provider integrations. Implement appropriate access controls for model endpoints, data sources, vector databases, and AI services. Assess security risks associated with AI/ML workloads, including data exposure, unauthorized access, insecure APIs, and secrets leakage . Work with MLOps teams to establish secure model deployment and serving environments. Cloud & Hybrid Security Experience securing at least one major cloud platform: AWS Microsoft Azure Google Cloud Platform (GCP) Responsibilities include: Design secure connectivity between cloud and on-premises environments. Configure VPC/VNet, subnets, routing, security groups, firewalls, and private endpoints . Implement cloud IAM and least-privilege access. Secure cloud Kubernetes environments such as AKS, EKS, or GKE . Support hybrid and multi-environment architectures. Implement cloud security monitoring and logging. Required Skills & Experience 5+ years of professional Network and Security Engineering experience . Strong experience with enterprise network architecture and security . Strong understanding of TCP/IP, DNS, DHCP, HTTP/HTTPS, TLS, VPN, routing, switching, and load balancing . Hands-on experience with enterprise firewalls and network security appliances . Experience with network segmentation, VLANs, routing, and access control . Experience with IAM, RBAC, authentication, authorization, and privileged access . Strong understanding of cybersecurity principles and security best practices. Experience securing Linux and Windows environments . Experience with Kubernetes security is highly desirable. Experience with cloud networking and security. Experience with security monitoring, logging, and incident response. Experience with Git and infrastructure/configuration management practices. Strong troubleshooting and analytical skills. Preferred Technologies Experience with some of the following is preferred: Kubernetes Docker