Network Engineer (Experience with Big-IP F5)

ABOUT CLIENT

Our client is a global consumer finance company that provides easy and accessible financial solutions for people who need it

JOB DESCRIPTION

Responsible for the operation and maintenance of network devices, with a focus on WAF and load balancing
Manage incident and change management in accordance with IT policy and SLA
Take ownership of networking projects and core business systems, ensuring project timelines and deliverables are met
Develop and maintain business continuity and contingency plans, including disaster recovery and emergency operations plans
Ensure documentation and procedures comply with policies and regulations
Identify and resolve network issues to improve overall performance and reliability
Utilize automation tools such as Gitlab, Ansible, and Python to enhance productivity and technology deployment
Drive continuous improvement in network performance to support a variety of business services
Participate in business trips for project implementation and troubleshooting
Share on-call rotation responsibilities with the team

JOB REQUIREMENT

A bachelor's degree in IT or a related field
Preferred certifications include CCNA, BIG-IP Administrator, CCNP EI, CCNP DC, AZ-700/AZ-305, CCSA/CCSE
Familiarity with BigIP F5 WAF-ASM and Load balancing (LTM)
Proficiency in using IaC tools like Ansible, Terraform, Python for network on-premise and cloud.
In-depth understanding of networking principles, protocols, and technologies (Ethernet, RSTP/MSTP, TCP/IP, DNS, DHCP, VPN, VLAN/VxLAN, MPLS, Ipsec/Macsec, BGP, HSRP, VRFs, OSPF, BGP, etc)
At least 3 years of experience working/developing on Enterprise Networking (Switch, Router, Firewall, VPN, Load Balancing, QoS, Monitoring…)
Knowledge of Network Management and Analytical tools such as Splunk, Prometheus, Grafana, flow logs, etc
Experience with Azure Cloud networking, especially private channels between cloud and on-premise
Familiarity with F5, Cisco, and HP devices
Strong knowledge/experience in network architecture
Proficient in English communication
Knowledge of Banking/Card Management Systems

WHAT'S ON OFFER

Guaranteed 13th salary and KPI bonus
Comprehensive health care coverage
24/7 accidental insurance
Full social insurance coverage
Meal and phone allowance
Yearly medical checkup
15 days of annual leave
Professional and transparent work environment
Utilize cutting-edge financial technology

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Network

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01713

Status:

Close

Related Job:

Senior Full-Stack Engineer (AI Service Desk)

Ho Chi Minh - Viet Nam


Outsource

  • .NET
  • ReactJS
  • Azure

Create and maintain backend services and APIs using C# and .NET technologies Construct contemporary frontend applications and dashboard interfaces using React Establish scalable integrations between operational systems, analytics services, and reporting layers Possess full-stack development experience across frontend and backend systems Collaborate with engineering and product teams to translate business requirements into technical solutions Enhance application performance, maintainability, and scalability Engage in technical discussions, code reviews, and architecture decisions Contribute to engineering standards and development best practices

Negotiation

View details

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam


Product

  • Devops
  • AWS
  • Azure
  • Security

Management of CI/CD Pipeline: Ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools. Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimize CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes, define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • C/C++
  • Python

Refine a wide array of structured and unstructured data to produce high-quality datasets for quantitative analysis and financial engineering. Improve data integrity and quality by creating validation tools and frameworks to assess the effectiveness of data enrichment pipelines. Gain expertise in machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors in the data. Derive insights from large-scale datasets and collaborate with research teams to pinpoint opportunities for tradable signals. Create utility tools to automate software development, testing, deployment, and monitoring workflows. Offer technical support to global researchers, including diagnosing technical issues, troubleshooting Python and C++ code, and suggesting scalable fixes and improvements. Troubleshoot and resolve issues in C++ applications and data pipelines with a strong focus on performance, stability, correctness, and maintainability. Investigate and implement AI/LLM-based solutions to enhance data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details