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