Middle DevOps Engineer (SRE, Kubernetes)

ABOUT CLIENT

Our client is focusing on providing end-to-end solutions

JOB DESCRIPTION

We are looking for a capable DevOps/SRE/Platform Engineer to join our team and contribute to the development of robust systems. This role offers the opportunity to have a significant impact on our product and address stimulating technical challenges in a supportive and collaborative setting.
Manage infrastructure and applications on the cloud
Address performance and security issues with guidance
Streamline routine tasks and contribute to documentation
Work alongside development teams for deployments and troubleshooting
Participate in on-call rotations and incident response efforts

JOB REQUIREMENT

Must have 3+ years of experience in DevOps, SRE, or Platform Engineering roles
Must have a strong understanding of Kubernetes fundamentals and experience deploying and managing applications on Kubernetes. CKA certification is preferred.
Must have experience with Infrastructure as Code (IaC) using tools like Terraform or similar, and practical experience writing and managing infrastructure configurations
Proficiency in coding with Python or Go (preferred) for basic automation tasks is required
Experience with CI/CD pipelines and related tooling (e.g., Jenkins, GitLab CI) is necessary. Understanding of CI/CD principles and practical experience building and maintaining pipelines is a must
Familiarity with monitoring and logging systems (e.g., Prometheus, Grafana, ELK stack) is expected
Strong English reading and writing skills are required, with an interest in working in an international environment with clients from various regions.

WHAT'S ON OFFER

Generous compensation package including a 13th-month bonus and performance incentives
Overtime pay
Monday to Friday work schedule, with 12 annual leave days and 11 public holidays
Chance to improve English skills by engaging with international clients and products
Regular salary reviews based on performance
Monthly team-building exercises
Opportunities for company trips
Full employee insurance as mandated by law
Yearly health check-ups
Access to personal development courses, covering technical and non-technical programs
Hands-on experience with advanced technologies
Complimentary snacks, coffee, tea, and cakes provided

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:

Devops

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01549

Status:

Close

Related Job:

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

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Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering

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

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Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details