DevOps Engineer

ไทย
งานประจำ
ฟูลไทม์

17 วันที่ผ่านมา

Job DescriptionAs a DevOps Engineer at Data Wow, you will work closely with software developers to automate software deployment. You will be responsible for deploying product updates, identifying production issues and implementing continuous integration pipelines. Additionally, you will be working with Data Scientists to deploy various machine learning models to production.Responsibilities

Designing and strategizing various ways to deploy code to production in different environments
Develop scripts to automate various development operations
Configure and optimize software deployment pipelines
Deploy machine learning models
Investigate and resolve technical issues
Perform root cause analysis for production errors
Manage logging and metrics collection tools
Design procedures for system troubleshooting and maintenance
Ensuring that systems are safe and secure against cybersecurity threats
Planning out projects and being involved in project management decisions

Requirements

Expertise in Docker
Working knowledge of Kubernetes
Working knowledge of AWS Cloud
Working knowledge of Linux operating systems
Experience with Python
Proficient with git
Love designing fault-tolerant architectures
Experience working with various databases (PostgreSQL, MongoDB, Elasticsearch)
Knowledge of logging and monitoring tools is a plus (Graylog, ELK, Prometheus, New Relic)
Problem-solving attitude
Understanding of best practices regarding networking and security
Collaborative team spirit
Good command of English

Benefits

Hybrid work
Health insurance
Annual health check
Annual Leaves
Laptop and other equipments
Free snacks & drinks
Weekly massage
Grab transportation credit
Education allowance
Performance bonus

More InfoJOB TYPEIndustryOtherFunctionSkillsGraylogAboutJob Source: strong
As a DevOps Engineer at Data Wow, you will work closely with software developers to automate software deployment. You will be responsible for deploying product updates, identifying production issues and implementing continuous integration pipelines. Additionally, you will be working with Data Scientists to deploy various machine learning models to production.
br\/br\/\/strongstrong
Responsibilities
brbr\/\/br\/strongulli
Designing and strategizing various ways to deploy code to production in different environments
\/lili
Develop scripts to automate various development operations
\/lili
Configure and optimize software deployment pipelines
\/lili
Deploy machine learning models
\/lili
Investigate and resolve technical issues
\/lili
Perform root cause analysis for production errors
\/lili
Manage logging and metrics collection tools
\/lili
Design procedures for system troubleshooting and maintenance
\/lili
Ensuring that systems are safe and secure against cybersecurity threats
\/lili
Planning out projects and being involved in project management decisions
br\/br\/\/li\/ulstrong
Requirements
brbr\/\/br\/strongulli
Expertise in Docker
\/lili
Working knowledge of Kubernetes
\/lili
Working knowledge of AWS Cloud
\/lili
Working knowledge of Linux operating systems
\/lili
Experience with Python
\/lili
Proficient with git
\/lili
Love designing fault-tolerant architectures
\/lili
Experience working with various databases (PostgreSQL, MongoDB, Elasticsearch)
\/lili
Knowledge of logging and monitoring tools is a plus (Graylog, ELK, Prometheus, New Relic)
\/lili
Problem-solving attitude
\/lili
Understanding of best practices regarding networking and security
\/lili
Collaborative team spirit
\/lili
Good command of English
br\/br\/\/li\/ulstrong
Benefits
brbr\/\/br\/strongulli
Hybrid work
\/lili
Health insurance
\/lili
Annual health check
\/lili
Annual Leaves
\/lili
Laptop and other equipments
\/lili
Free snacks & drinks
\/lili
Weekly massage
\/lili
Grab transportation credit
\/lili
Education allowance
\/lili
Performance bonus
\/li\/ul
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