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Tkxel

Senior Network & Security Engineer

Tkxel Punjab, Pakistan

IT Services and IT Consulting · 501-1,000 employees

6 d ago
security Senior (5-10 yrs) Full-time Pakistan
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About the role

The engineer will design, implement, and maintain secure enterprise network architectures across on-premises, cloud, and Kubernetes environments. They are also responsible for managing security controls, monitoring network traffic, and supporting the secure deployment of AI/ML workloads.

What they look for

Network architecture Cybersecurity Firewalls VPN Kubernetes Cloud security IAM RBAC Linux Windows TCP/IP Load balancing Incident response Infrastructure security AI/ML security

Requirements

Candidates must have at least 5 years of professional experience in network and security engineering with strong knowledge of TCP/IP, firewalls, and cloud platforms. Proficiency in Kubernetes security and identity management is highly desirable for this role.

Full 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

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