DevOps Engineer

Responsibilities:
- Design, advocate, and support the use of containers, microservices, and deployment across diverse platforms (both in the cloud and on-premises), ensuring seamless integration and continuous deployment practices
- Deliver SaaS products and underlying informatics platforms with a focus on high availability, scalability, fault tolerance, quality, and security
- Build and operate systems in alignment with project team requirements and designs
- Formulate and execute a strategic plan for the DevOps team
- Conduct research, evaluation, proof of concept, installation, configuration, and training related to DevOps tools
- Implement Continuous Integration/Continuous Deployment (CI/CD) for a Microservices architecture platform across development, testing, staging, user acceptance testing, and production environments
- Monitor, maintain, and troubleshoot environment issues, ensuring optimal performance and prompt resolution of any challenges
- Manage work plans for the DevOps team, assign tasks, supervise, review, and evaluate team members' performance
- Foster the growth and development of team members' careers

- Team building, company trip
- 13th salary, and review salary once/year
- Support lunch and parking free
- Training in work and fast-track your career path
- New Year gifts, birthday, 8/3, 20/10, ...
- Full insurance after 2 months of probation, PVI insurance for some levels
- Working in a friendly and professional environment

- General Requirements:
Exceptional problem-solving and troubleshooting skills, coupled with effective communication and collaboration abilities
From 2 years of experience in a similar DevOps Engineer role
Profound understanding of software development lifecycle methodologies
Adaptability to thrive in a fast-paced and dynamic work environment
- Technical Requirements
:
Hands-on expertise with DevOps tools such as Terraform, Helm Chart, Jenkins, Selenium, Docker, etc.
Proficiency in on-premises and cloud environments, including AWS, Azure, and GCP
Significant experience in Docker containerization and clustering, including Kubernetes
Strong knowledge of modern CI/CD tools and principles
In-depth familiarity with Linux, Docker, log aggregation, and open-source technologies
Experience in managing databases, including NoSQL, PostgreSQL, ActiveMQ, Kafka, etc.
Familiarity with monitoring tools like Grafana, Prometheus, ELK, and more