DevOps Engineer

ABOUT CLIENT

Our client is a global company specializing in corporate travel solutions and hotel accommodation management

JOB DESCRIPTION

Collaborate with a team to develop and deploy Backend applications on AWS cloud architecture utilizing Java and related technologies.
Define and manage cloud infrastructure as code (IAC), enhance CI/CD pipeline, ensure system scalability and availability, establish a monitoring stack, and automate build, configuration, and deployment orchestration scripts.
Utilize a wide range of DevOps/Infra tools and leverage a variety of AWS services.
Enhance the speed, efficiency, and scalability of all systems.
Build and optimize CI/CD for operation and deployment with maximum automation.
Monitor, troubleshoot, and manage all team environments.
Work with the engineering team and contribute to architectural decisions.
Have expertise in network protocols and standards.

JOB REQUIREMENT

Bachelor's Degree in IT technology or a related field
Proficiency and experience with AWS, including account administration, billing, and IAM users/roles
Hands-on experience with Infrastructures as Code tools such as Terraform, CDK, CloudFormation, or SAM
Knowledge and practical application of orchestrating containerized apps using Docker, Kubernetes, ECS, etc
Proficient in setting up and maintaining CI/CD processes in GitLab
Familiarity with software architecture concepts and related technologies such as serverless, microservices, event-driven architectures, RESTful API/SOAP, CDN, etc
Understanding and experience with networking, including load balancers, TCP, UDP, etc
Experience with source control and relevant concepts
Proactive and self-motivated

WHAT'S ON OFFER

Join a global network of dedicated individuals focused on reshaping the travel industry and revolutionizing the way businesses operate.
Engage in an entrepreneurial environment that promotes personal and professional growth, with opportunities for learning and skill development.
Receive competitive salary and benefits as a probationary employee.
Enjoy a hybrid working model and an open, flat environment that values your ideas and supports your skill development.
Access international learning and development programs, with opportunities for onsite work in various locations.
Receive 13th-month salary and short-term incentives based on company success.
Benefit from generous annual leave, full healthcare compliance, and premium healthcare for employees.
Celebrate special occasions with gifts and enjoy supportive working conditions with access to laptops and MS Surface Hub.
Indulge in free and unlimited snacks, tea, and coffee, as well as premium company trips and exciting activities.

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, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01879

Status:

Close

Related Job:

AI Engineer Lead

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details