Senior Network & Security Engineer

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