DevOps Engineer

ABOUT CLIENT

Our client is a global company that specializes in providing innovative HR and recruitment solutions to businesses across various industries.

JOB DESCRIPTION

Develop and maintain scalable CI/CD pipelines for efficient software delivery.
Optimize development, staging, and production environments for high performance and minimal downtime.
Implement and manage monitoring tools to track system performance, availability, and scalability.
Identify and resolve performance bottlenecks and system inefficiencies.
Automate infrastructure provisioning and deployments using tools like Terraform, Ansible, YAML, or similar frameworks.
Utilize Azure DevOps for pipeline creation, environment management, and integration workflows (preferred).
Collaborate with various teams to improve deployment processes and streamline operations.
Establish and enforce best practices for source control, automated testing, and code reviews.
Manage logging, alerting, and performance dashboards using tools like Prometheus, Grafana, ELK stack, Datadog, or similar platforms.

JOB REQUIREMENT

Minimum 5 years of IT experience, with at least 3 years in a DevOps role.
Proficiency in building and managing CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, or similar.
Familiarity with managing environments across development, staging, and production.
Experience with monitoring and performance tools such as Prometheus, Grafana, ELK stack, Datadog, or New Relic.
Ability to work with at least one cloud platform such as AWS, Azure, or GCP; experience with Azure DevOps is desirable.
Proficient in scripting and automation (e.g., Bash, Python, PowerShell).
Strong understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).
Proficiency in troubleshooting, incident management, and proactive system reliability solutions.
Extensive experience with Azure services, Azure DevOps pipelines, and integrations.
Familiarity with performance optimization techniques for cloud-based infrastructure.
Understanding of DevOps security practices and compliance standards.

WHAT'S ON OFFER

14 days of annual leave
Birthday leave
Anniversary leave
Medical insurance
Other benefits include annual incentive trip, summer Fridays, anniversary cash/gift rewards, Asia mobility scheme (secondment/relocation), level-up scheme (training subsidy), etc.

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

Job ID:

J01745

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