Job Description

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 platformWe 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

Application Process

• Phone interview
• Face to face meeting with Technical Lead
• Team interview
• CEO meeting

Job Types: Full-time, PermanentSalary: $4,500.00 - $8,000.00 per monthSchedule:

• Flexible hours
• Monday to Friday