Azure DevOps Engineer

JOB DESCRIPTION

Job Summary
We are seeking an experienced Azure DevOps Engineer with expertise in AKS and Terraform to join our team. The ideal candidate will have a strong background in DevOps principles and practices, as well as hands-on experience with deploying and managing Kubernetes clusters using AKS and infrastructure-ascode tools like Terraform
Key Responsibilities
Design, implement, and manage the CI/CD pipelines for deploying applications to AKS clusters.
Work closely with development teams to ensure applications are designed with scalability, resilience, and high availability in mind.
Develop and manage infrastructure-as-code solutions using Terraform for AKS clusters, Azure services, and related resources.
Implement monitoring and logging solutions for AKS clusters using tools like Prometheus, Grafana, and ELK stack.
Develop automation scripts and tools to streamline deployment, testing, and infrastructure management tasks.
Work with infrastructure teams to ensure AKS clusters are properly sized, configured, and secured.
Troubleshoot issues with AKS clusters, applications, and CI/CD pipelines, and implement solutions to mitigate these issues. 

JOB REQUIREMENT

Bachelor's or master's degree in Computer Science, Information Technology or related field
3+ years of experience as a DevOps Engineer, with a focus on Azure, Kubernetes, and Terraform
Strong knowledge of Azure DevOps, including CI/CD pipelines, Azure Resource Manager (ARM) templates, and PowerShell scripting
Hands-on experience with AKS, Kubernetes, and related tools like Helm, Kubectl, and Istio
Strong understanding of infrastructure-as-code concepts and experience with Terraform or other IaC tools.
Experience with containerization technologies like Docker and container orchestration tools like Kubernetes.
Strong understanding of networking, security, and cloud-native architectures.
Excellent communication skills and ability to work collaboratively with cross-functional teams. 

WHAT'S ON OFFER

Competitive salary
13th salary and performance bonus
15 days Annual Leave and 5 days Sick Leave
Healthcare Insurance for employee
Laptop Provided
Career path, training courses
Other benefits of Company will be share details in the offer stage

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:

Devops, Azure

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01217

Status:

Close

Related Job:

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, optimize system performance, and tackle complex software integration challenges. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Software Engineer (Node.js) - Platform Security

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, strengthen system security and reliability, and tackle complex software integration challenges. Design and implement platform security controls across web applications, APIs, and cloud services, including authentication, authorization, session management, secrets management, encryption, and audit logging. Identify and remediate security risks through threat modeling, secure code reviews, automated security testing, dependency scanning, and investigation of security-related issues. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam


Product

  • AI

#Agent Engineering & operation Design, build, and maintain production-grade AI agent systems, including: context engineering and instruction architecture, prompt hardening and safe execution boundaries, tool integrations and multi-step orchestration, memory strategies and reliability patterns. Own the full agent lifecycle: prototype → evaluate → deploy → monitor → iterate. Build and maintain an evaluation pipeline to measure agent quality, catch regressions, and enforce deployment gates (golden datasets, scenario suites, automated checks). Instrument agents and agent platforms for production observability: structured logging, tracing, and metrics; latency and cost monitoring; tool-call success rates and failure analysis. Define operational readiness standards including: rollback criteria, incident response playbooks, recovery paths for common failure modes.#Team Enablement & Coaching Embed with product engineering teams to identify high-value use cases ready for agent automation. We will be operating in a Central Agent Ops role enabling Ai product builders through AI enablers. Translate business workflows into agent-executable tasks with clear: contact boundaries/interfaces, assumptions and inputs/outputs, failure modes and safe fallbacks. Deliver targeted coaching to engineers on: context engineering best practices, harness design and regression testing patterns, agent skill design and tool-contract discipline. Reduce onboarding time for teams adopting AI capabilities-from first conversation to a production-ready agent. Train product engineers to extend and maintain agent skills independently.#Standards & Knowledge operations Author and maintain org-level standards for agents, including: naming conventions, context file structures and ownership rules, skill interface contracts (inputs/outputs, invariants, error handling), evaluation criteria and release quality bars. Establish and enforce "repo-as-discipline" practices so agent knowledge is: versioned, reviewable, discoverable, reusable; not trapped in prompt snippets or individual heads. Build and grow a shared agent skills library that teams can reuse and extend. Track and aggregate AI tooling/framework updates and external best practices, serving as a central intake so product teams don't each have to follow the entire AI landscape. Run internal knowledge-sharing sessions, showcases, and retrospectives to propagate learnings efficiently.

Negotiation

View details