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:

Salary:

Negotiation

Job ID:

J01217

Status:

Close

Related Job:

Android Engineer (Java/Kotlin)

Ho Chi Minh - Viet Nam

Product

  • Android

Develop Android App part of various Services Develop new services and improve structures Analyze and apply new technologies to services

Negotiation

View details

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • C/C++

Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform - enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation.

Negotiation

View details

Platform Lead

Others - Singapore

Product

  • Backend
  • Devops
  • Data Engineering

Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots. Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs. Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations. Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio. Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures. Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.

Negotiation

View details