Azure DevOps Engineer

JOB DESCRIPTION

Involved in the process of hosting/deploying the entire application in to Microsoft Azure Cloud.
Working with Microsoft Azure Cloud Services and deploying the services through Azure Resource Manager Templates or Azure Portal.
Created Kubernetes cluster like AKS-Engine, Minikube
Managing Build/Release Engineering for multiple products and releases under tight schedules and deadlines.
Introducing DevOps for BAU deployments using Microsoft tools (VSTS, Release Manager, and Jenkins).
Creating scripts in Power Shell for automating repetitive tasks.
Maintaining the source code in Git for various applications, Maintaining the repositories (includes creating, deleting).
Creating the Branching Strategy for the development. Configuration Management using Git.
Configuring tools (flavours like Tortoise Git) on windows.
Providing Access Rights to users, Giving support to developers and resolving trouble shooting Git issues. 

JOB REQUIREMENT

Strong experience in Azure DevOps, Docker, Kubernetes, ARM, PowerShell, Terraform and configuration management tools such as Ansible, Chef and Puppet
Experience in deploy and running an applications of Dockers using Containers.
Expertise in Microsoft Azure and its relevant build, deployment, networking and security technologies in cloud and hybrid environments.
Technical understanding of Microsoft Identity and Access Management product
Experience in automating build and deployment, infrastructure and processes for multiple projects.
Experience in migrating On-premises VMs to Microsoft Azure Cloud
Good understanding in Azure networking, Storage, VM provisioning, RBAC, NSG, Automation, AZ Copy, Storage Explorer, AD, Application Insights, ARM Templates, automation etc.
Excellent customer facing communication, presentation skills and technical writing capability for tender responses, bids and proposals.
Experience in Windows Azure(IAAS,PAAS), VSTS(CICD), Azure SQL, MS SQL, IIS, Azure Web Apps, Cloud services, Azure Storage, Traffic manager, Power Shell. 

WHAT'S ON OFFER

Working in one of the Best Places to Work in Vietnam
Join a dynamic and fast growing global company (English-speaking environment)
13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
100% monthly basic salary and mandatory social insurances in 2-month probation
Onsite opportunities: short-term and long-term assignments
15++ days of annual leave + 1 day of birthday leave
Premium health insurance for employee and 02 family members
Flexible working time
Lunch and parking allowance
Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills
Fitness & sport activities: football, badminton, yoga, Aerobic 
Free in-house entertainment facilities and snack
Join in various team building, company trip, year-end party, tech talks and a lot of charity events  

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:

Outsource

Technical Skills:

Azure, Devops

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00622

Status:

Close

Related Job:

Senior Signal Processing Engineer

Others - Viet Nam

Outsource

  • Python

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

View details

Senior Mobile App Development Engineer

Others - Viet Nam

Outsource

  • iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

View details

Senior Software Engineer, Machine Learning

Ho Chi Minh - Viet Nam

Product

  • Machine Learning

Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code. Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency. Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms. Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts. Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.

Negotiation

View details