Senior DevOps Engineer

Địa điểm làm việc: Hồ Chí Minh

Hết hạn: 19/12/2021

Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:

Mã vị trí: 21-GDS-1051

Nơi làm việc: Tp.Hồ Chí Minh

Lương: Thỏa thuận

Mô tả công việc

Design and development of our data analytics platform, including data management, system architectures, and analytics tools
Works with application developers to automate and accelerate the testing, release, and deployment of applications into a runtime environment quickly and reliably.
Deploy all stack of product ecosystem on the various environment including customer on-premises, on cloud, AWS
Build and maintain data flows/pipelines, processes to ingest data from a large number and variety of data sources and assets using integration tools.
Participate in building CI/CD and manage CI/CD tools with teams (such as Jenkins or other CI tools).
Monitor, manage and maintain the stability and performance of our infrastructure(On-premises và Cloud)
Design and manage large system of real business products
Communicate effectively - must be able to discuss and clearly communicate technical issues

Yêu cầu

Bachelor in Computer Sciences/Information Technology or equivalent.
At least 2-3 years of hands-on experience as a DevOps
Experience using Docker and container orchestration, such as Kubernetes.
In-depth understanding of UNIX/ Linux system internals, TCP/ IP networking, load balancers, web servers(Nginx, Apache...), caching.
Experience with managing cloud resources, AWS (Elastic BeanStalk, S3, CloudFront, EC2...).
Working knowledge of Design procedures for system troubleshooting and maintenance.
Experienced with Database include SQL or NoSQL (Mariadb, Redis, Cassandra, MongoDB, Elasticsearch)
Knowledge of network protocols: DNS, HTTP/HTTPS, FTP, SSL,...
Scripting experience:BASH, Python, REST/API (must understand concept of using this methodology),Must be able to write scripts, experience beyond command line required.
Experience with Jenkins, GitLab, ELK, Jira, Promethus, Grafana or equivalent technology stack
Could work at least one high-level programming language, knowing Python/ Java is a plus
Knowledge in Hadoop ecosystem big data framwork like YARN, HDFS, Airflow, Spark is a plus
Extensive experience in distributed systems, databases, and performance analysis
Experience Scaling applications & Capacity Management.
Careful, highly organized and self-learning attitude.
Ability to make great technical decision in different scenario's /projects.
Good soft skills: team player, not afraid to provide feedback to colleagues, etc.

Advantage Qualifications:

Knowledge about Computer Security, Application Security, and Security Standards & Best Practices
Good knowledge of design patterns, system architecture, and best practices

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