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Full Time
Remote
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Posted 20 days ago • Closing 4 Aug 2022
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Responsibilities
The Delvify SMART insight platform provides actionable insights. Leveraging data and AI recommendation engine to help online businesses to better understand their customers. With our marketing arm who focus on programmatic advertisements, we can also provide market trends or industrial-focused insights with on our SMART platform
We are now looking for a highly trained Engineer who can help us prevent downtime and provide visibility for our engineers into what things may go wrong.
What you’ll be working on
Work closely with architecture and engineer teams to understand and implement the 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 the 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
What we are looking for:
Bachelor's degree in computer science, engineering or relevant field
Minimum 3 years 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