Cloud Insfrastructure Engineer

ABOUT CLIENT

Our client is a big fintech company from Japan

JOB DESCRIPTION

Create, oversee, and manage cloud-based applications utilizing Azure services.
Formulate Infrastructure as Code to automate cloud resource provisioning and management.
Produce and sustain scripts for deployment and automation.
Optimize and monitor cloud resources to enhance performance and cost efficiency.
Work alongside DevOps and security teams to ensure optimal cloud architecture practices.
Identify and resolve Azure service and infrastructure-related issues.

JOB REQUIREMENT

Holds a Bachelor's degree in Computer Science, Information Technology, or a related field.
Possesses over 5 years of experience in Azure cloud development and management.
Demonstrates proficiency in various Azure services such as Azure Virtual Machines, Azure Storage, Azure Networking, and Azure AI Agent.
Utilizes Infrastructure as Code tools like Azure Resource Manager (ARM) templates or Terraform.
Exhibits strong scripting skills in PowerShell, Python, or similar languages.
Shows understanding of DevOps practices and CI/CD pipelines.
Thorough knowledge of Azure AI agent service and cloud architecture.
Experience with Infrastructure as Code (e.g., ARM templates, Terraform).
Proficient in scripting languages like PowerShell or Python.
Understanding of security best practices in the cloud.
Strong problem-solving skills and attention to detail.

WHAT'S ON OFFER

Benefits for Employees:
Employees have the flexibility to work two days in the office and three days from home
Work hours are flexible, with the option to start between 8AM-9AM from Monday to Friday
Full salary during the probation period
Eligibility for various insurance benefits, including social, health, and unemployment insurance, as well as private health and accident insurance
Additional perks such as a 13th-month salary, 16-24 paid days off, and paternity leave
Opportunities for annual company trips, quarterly team building activities, and participation in billiards and running clubs
Access to an annual health check and well-equipped facilities, including a MacBook Pro and additional monitor
Career Growth and Development Support:
Clearly defined career paths for employees
Sponsorship for foreign language and international technology-related certifications
Access to both internal and external training courses, soft-skill workshops, and tech seminars
Recognition awards and biannual performance and salary reviews (in June and December)

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:

Hybrid

Salary:

Negotiation

Job ID:

J01742

Status:

Close

Related Job:

Software Engineer (Java)

Ho Chi Minh - Viet Nam


Product

  • Java
  • Spring Boot

Company is growing its Software Engineering team to deliver large-scale enterprise systems and digital platforms for financial institutions across Southeast Asia. As a Java Software Engineer, you will design, develop, and maintain backend services that power critical business processes, data integration, and mobile applications. You'll work in a modern, modular architecture combining mature systems with innovative new services - ensuring both stability and agility. This role offers the opportunity to work closely with international teams, participate in architectural discussions, and contribute to best practices that shape Company's technology standards. Design, develop, and maintain scalable backend applications using Java and Spring Boot. Build new services and enhance existing ones to support evolving business requirements. Ensure code quality through unit testing, debugging, and performance optimization. Contribute to design and architecture discussions, balancing technical depth with business value. Collaborate with cross-functional teams (QA, DevOps, Analysts, Product Owners) across Vietnam and Czech Republic. Participate in code reviews and enforce development standards and documentation quality. Support release planning, deployment, and post-production analysis. Mentor junior engineers and contribute to internal knowledge-sharing initiatives. Stay current with emerging technologies, microservice design patterns, and cloud-native practices. Promote automation, CI/CD, and DevOps principles to improve development efficiency. Proactively identify technical debt and propose refactoring or optimization strategies.

Negotiation

View details

Senior Software Engineer (Data Management, Data Lake)

Ho Chi Minh - Viet Nam


Product

  • Data Engineering
  • Cloud
  • Java
  • Typescript
  • Angular

We are looking for a seasoned Senior Data and Full-Stack Engineer to join our team. In this role, you will not only design and build high-performance, resilient data architectures but also craft scalable solutions that integrate seamlessly with microservice-based application ecosystems. Your expertise will span across data engineering and full-stack development, enabling you to deliver end-to-end solutions that power our platform. You will own critical design deliverables-both high and low level-including ERDs, logical and physical models, and architectural reviews. Beyond architecture, you will actively contribute to building robust services and APIs that leverage data for automation, customer experience optimization, and innovative product development. As Company continues to grow and data volumes surge, your ability to harness this data and translate it into actionable insights and advanced solutions will be pivotal to our success.#Your key responsibilities as a Senior Data & Full-stack Developer will include: Drive and design future-proof data architectures, strategically aligning data systems with business objectives to ensure efficient and scalable data management. Architecting conceptual, logical, and physical architecture and data models for operational enterprise data and analytics solutions using recognised data modelling approaches Collaboration with project teams to ensure architectural principles are met, and build and act as a change agent Build container-based big data architectures on top of Kubernetes Design and implement large and complex data solutions (Data Warehouse, Data Lake, Data Analytics) using various architectural patterns such as microservices Develop and understand the enterprise data landscape and map data stores and flows between the operational systems for our microservice approach Implementing the feature with high-performance, scalable, and testable components for our architecture and execute its development. Developing and deploying modern architectural patterns/techniques (microservices, DDD, TDD), including developing using modern frameworks, e.g. Spring Boot, Spring Cloud Developing and deploying modern frontend microservices, enrich DM Storybook using the latest Angular version. Develop RESTful APIs and microservices-based solutions leveraging containers (AKS, Kubernetes, Docker) technologies#General Create robust data architecture to manage data efficiently and effectively Define the data strategy and the key principles associated with it Develop and understand the enterprise data landscape and map data stores and -flows between the operational systems for our micro-service approach The role is varied and there are opportunities to become involved in activities across all parts of the business

Negotiation

View details

Engagement Engineer

Ho Chi Minh - Viet Nam


Product, AI Application Platform

  • Project Management
  • Account Management
  • AI

Drive customer success by strategically managing relationships, acting as a key advocate, and aligning our product capabilities with customer goals while proactively addressing project risks. Stay updated on AI innovation by participating in the design of AI systems for industrial applications and keeping up with the latest trends in AI, machine learning, and data analytics. Foster customer collaboration to clearly define problem statements, develop impactful solutions, translate needs into actionable tasks, and oversee project lifecycles, including roadmap planning, execution, and quality assurance. Lead and collaborate with cross-functional technical teams to efficiently develop and deliver solutions within specified timelines. Provide customers with tailored technical solutions and training to enhance the impact and value of the solutions offered.

Negotiation

View details