포지션 상세
We are looking for a highly-trained DevOps Engineer to help us prevent downtime and provide visibility for our engineers. Join our growing team to help global brands turn consideration into conversion with intelligent, insights-driven, Programmatic AI, and increase revenue with visual AI solutions for ECommerce!
• Implement and maintain workflows and automation for the cloud and virtualization platform
• Develop automated management features, such as performance monitoring, diagnostics, failover and availability capabilities
• Review the design of cloud-based IT solutions with a particular focus on infrastructure and integration
• Assess potential risks for all changes and maintain high availability within the environment
• Implement integrations requested by customers
• Deploy updates and fixes
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance
• Plan, set up and manage the monitoring infrastructure
• Educate developers on what kinds of application-level metrics could be valuable
• Ensure we have a relevant RED dashboard for our business
• Integrate DevOps and MLOps tooling into our pipelines
• Find and fix bugs deep inside the systems we are using
• Minimum 1 year of relevant hands-on experience in DevOps and Cloud Computing
• Clear understanding of coding and scripting with languages e.g. Python, JavaScript and Ruby
• Detailed, hands-on experience with AWS, Microsoft Azure and Google Cloud etc.
• Familiar with a range of automated provisioning and configuration management tools and more specific tools such as Azure Resources Manager, Terraform, Puppet and Chef
• Working knowledge of database and SQL/NoSQL
• Familiar with CI/ CD tooling, Jenkins/ GitLab, Heroku
• Back-end development experience
• Solid understanding of Operating System
• Experience with system monitoring tools
• Experience using and creating APIs
• Experience with the docker based system such as docker-compose, Kubernetes or any cloud-based registry
• Have experience with relational databases and non-relational databases
• Strong experience with database management such as ETL and backup and restore
• Experience with machine learning model infrastructure
• Strong understanding of and practical hands-on knowledge of networking fundamentals
주요업무
• Work closely with architecture and engineering teams to understand and implement optimal virtualization and cloud-based solutions• Implement and maintain workflows and automation for the cloud and virtualization platform
• Develop automated management features, such as performance monitoring, diagnostics, failover and availability capabilities
• Review the design of cloud-based IT solutions with a particular focus on infrastructure and integration
• Assess potential risks for all changes and maintain high availability within the environment
• Implement integrations requested by customers
• Deploy updates and fixes
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance
• Plan, set up and manage the monitoring infrastructure
• Educate developers on what kinds of application-level metrics could be valuable
• Ensure we have a relevant RED dashboard for our business
• Integrate DevOps and MLOps tooling into our pipelines
• Find and fix bugs deep inside the systems we are using
자격요건
• Bachelor's degree in computer science, engineering or relevant field• Minimum 1 year of relevant hands-on experience in DevOps and Cloud Computing
• Clear understanding of coding and scripting with languages e.g. Python, JavaScript and Ruby
• Detailed, hands-on experience with AWS, Microsoft Azure and Google Cloud etc.
• Familiar with a range of automated provisioning and configuration management tools and more specific tools such as Azure Resources Manager, Terraform, Puppet and Chef
• Working knowledge of database and SQL/NoSQL
• Familiar with CI/ CD tooling, Jenkins/ GitLab, Heroku
• Back-end development experience
• Solid understanding of Operating System
• Experience with system monitoring tools
• Experience using and creating APIs
• Experience with the docker based system such as docker-compose, Kubernetes or any cloud-based registry
• Have experience with relational databases and non-relational databases
• Strong experience with database management such as ETL and backup and restore
• Experience with machine learning model infrastructure
• Strong understanding of and practical hands-on knowledge of networking fundamentals
