System Network Engineer (AWS)

JOB DESCRIPTION

Network Design: Design and implement AWS network architectures, including VPCs in multi-account architecture, NAT gateways, VPN, Direct Connect and Transit Gateway to meet business needs.
Security: Configure and manage network security features, including security groups, NACLs, VPN tunnels, DNS Firewall, Network Firewalls, Firewall manager to ensure secure access and data protection.
Connectivity: Establish and maintain reliable connectivity between on-premises environment and AWS using Direct Connection solutions, VPC Private Link, VPN Site-to-Site, and hybrid cloud solutions.
Monitoring & Optimization: Monitor network performance and security using AWS CloudWatch, VPC Flow Logs, etc.. and optimize network configuration for performance, cost, and reliability.
Troubleshooting: Diagnose and resolve network issues, including network latency, connectivity problems and security vulnerabilities, ensuring minimal downtime and optimal performance.
Automation: Develop and implement automation scripts (Python / Bash, etc..) to streamline network management tasks and configuration.
Collaboration: Work closely with Cloud Platform / DevOps, Security to design and implement integrated solutions that meet business objectives and enhance overall cloud networking infrastructure.
Compliance: Ensure network configuration comply with industry standards, regulator requirements, and organizational policies, including data privacy and security regulations.

JOB REQUIREMENT

Must have skills
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Proven work experience in system network engineering with a focus on AWS Cloud technologies.
Knowledge of network transmission principles, IP networks, wireless, routing, and quality of service fundamentals
Strong understanding of TCP/IP, OSI Model, DNS, Routing protocol, VPN, Firewall, Load Balancing.
In-depth knowledge of AWS networking services, including VPC Peering, VPC Private Link, Direct Connect, VPN, Route53, Transit Gateway, NACL, Firewall Manager, DNS Firewall, Network firewall, etc..
Experience with IaC tools such as AWS CloudFormation, Terraform or Ansible.
Familiarity with scripting and automation using the AWS CLI, Python, or other relevant languages.
Excellent problem-solving skills and the ability to diagnose and resolve complex database issues.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Knowledge of network security best practices, including encryption, access controls and threat management.
Experience in SDLC and Agile methodologies.
Ability to work independently and as part of a team.
Nice to have skills
Experience in the banking or finance industry is a plus.
AWS certification (s) related to Advanced Networking

WHAT'S ON OFFER

Meal and parking allowances are covered by the company.
Full benefits and salary rank during probation.
Insurances such as Vietnamese labor law and premium health care for you and your family.
SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.
Values-driven, international working environment, and agile culture.
Overseas travel opportunities for training and work-related.
Internal Hackathons and company events (team building, coffee run, etc.).
Pro-Rate and performance bonus.
15-day annual + 3-day sick leave per year from the company.
Work-life balance 40-hr per week from Mon to Fri.

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:

System, Network

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01585

Status:

Close

Related Job:

Senior AI Data Platform Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Engineering
  • Devops
  • AI

#ML Data Platform Engineering & Administration Install, configure, and maintain ML data platforms on top of Kubernetes, Object Storage, Cassandra, Postgres and related technologies Monitor platform performance and optimize as needed for reliability and efficiency#Platform Configuration and Maintenance Implement and manage platform configurations, ensuring adherence to best practices and security standards Regularly update and patch systems to maintain security and stability#Collaborate with Cross-Functional Teams Work closely with ML and data engineers and other roles to align IT needs and strategies Provide expert guidance on ML data platform best practices and optimization#Troubleshoot and Resolve Technical Issues Identify, diagnose, and resolve data platform problems in a timely manner Escalate complex issues to upper-level support when necessary#Backup and Recovery Management Implement and maintain backup and recovery strategies for data platforms, ensuring data integrity and availability#Maintain and Update Documentation Create and maintain documentation related to data platform administration, configuration, and maintenance Share knowledge with team members and contribute to a culture of continuous learning#Enhance Data Security and Compliance Ensure data platforms adhere to security best practices and comply with relevant regulations Stay up-to-date on industry trends and evolving security standards#Drive Continuous Improvement Evaluate and implement new technologies and techniques to enhance data platform performance and administration Proactively identify areas for improvement, prepare plan for implementation and get support from management and development teams Always prefer automation and code-first approach over hard to reproduce manual tasks

Negotiation

View details

Senior IT Infrastructure Engineer

Ho Chi Minh - Viet Nam


Product

  • System
  • IT inhouse

Plan, design, and build enterprise hardware systems such as PDC, DRC, evaluating and selecting the best options to meet the organization's needs. Operate, maintain, and upgrade VMWare, OpenStack environments, backup software and libraries. Maintain, plan, deploy and protect the infrastructure environment server hardware and firmware, consolidating and improving system components such as virtualization, backup servers, SAN, Hardware security module, rack, and storage systems mainly in PDC, DRC to meet the organization's current and future requirements. Participate in IT projects, providing technical expertise and guidance for infrastructurerelated components. Ensure information security by understanding key security objectives such as confidentiality, integrity, and availability, and implementing appropriate measures in the infrastructure environment, fulfill the requirements of internal and external audits. Design converged SAN architecture and maintain SAN devices such as switches and storage, upgrading firmware when needed. Perform capacity planning for free space, performance, and usage, and proactively monitor systems to identify and address performance issues. Manage and monitor data center systems such as fire alarm and air conditioning, and plan server room layout and cabling. Test all changes to SAN networks, hardware, and software to ensure smooth implementation and operation. Document issues and resolutions and prepare status reports and reviews for management. Foster a strong collaborative relationship with Vendor ( Hardware & Storage Team, Virtualization team, Backup Team), seamlessly merging the efforts into a harmonious and unified team. Hold primary accountability for maintaining the smooth operation and availability of the datacenter, in strict adherence to SLA requirements. Prioritize swift resolution of any emerging issues to minimize downtime.

Negotiation

View details

Principal Software Engineer - Juno

Ho Chi Minh - Viet Nam


Outsource

  • .NET
  • AI

Own the technical vision and architecture of the AI platform - agent orchestration, LLM integration layers, tool/MCP integrations, and the APIs other teams build on Make and document high-impact architectural decisions, navigating trade-offs between velocity, cost, reliability, and flexibility (e.g. model choice, orchestration patterns) Design the platform for multi-tenancy, extensibility, and scale so product teams can adopt AI capabilities without reinventing the foundation Keep the platform ahead of a fast-moving AI landscape: evaluate new models, frameworks, and patterns, and decide what's worth adopting Build production-grade backend services and platform components - this is a coding role, not a pure architect role Develop core capabilities like agent workflows, RAG pipelines, vector search, context management, and safe tool execution Set the bar for engineering quality: testing strategies for non-deterministic AI systems, evals, CI/CD, and code review culture

Negotiation

View details