The client is a West Asia based chemical manufacturing company

Under the technical supervision of the Technical Program Manager, this position is responsible for the deployment and maintenance of a high-performance SaaS solution deployable in AWS or other clouds for a new domain specific Knowledge Graph product.

Core Role Responsibilities:

System troubleshooting and problem solving across platform and application.
Suggesting architecture improvements, recommending build process improvements.
Evaluate new technology options and vendor products.
Ensuring critical system security through the use of best in class cloud security solutions.
The role requires following hands-on technical experience, a can-do mentality and excellent English and interpersonal communication skills.
Responsible for deploying, automating, maintaining and managing on-prem and cloud based production systems, to ensure the smooth availability, performance, scalability and security of the infrastructure.
Build, release and configuration management of production systems.

Required Skills and Experience:

The candidate must have a B.S. in Computer Science (or equivalent), plus a minimum of 2 years’ experience in developing, deploying and maintaining large SaaS software products
Experience with manual and automated deployments of ML Ops pipelines is required
Experience with CI/CD, Continuous Monitoring and Model Performance Metrics is required
Operating Systems: Linux system administration expertise with bash
Scripting Skills: Strong scripting (e.g. Python) and automation skills
An emphasis on best practice cloud security technologies
Deployment experience with configuration management tools – GitLab, Jenkins, ansible, terraform, helm, Artifactory
Azure: 2+ years’ experience with using a broad range of AWS or Azure technologies to develop and maintain cloud-based product
Good understanding on Microservices and Containerization technologies – Docker, Kubernetes
Monitoring Tools: Experience with system monitoring tools
DB Skills: Basic DB administration experience (Postgres, MySql, Redis, MemcacheD).
Version Control: Good understanding of git, Github Enterprise, and Git webhooks
Networking: Understanding network topologies and common network protocols and services
Ability to analyze and resolve complex infrastructure resource and application deployment issues
Agile Methodologies: Nice to have experience with Agile software development methodology

Senior ML Ops Engineer