Senior Technical Cloud DevOps ML Lead REMOTE

*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Enterprise Company is currently seeking a Senior Cloud DevOps ML Technical Lead. Candidate will be working on a wide range of Innovation Projects such as Mobile Application Development, Full Stack Development, Machine Learning and Blockchain. By building CI/CD pipelines for Mobile, Microservices, AI/ML and BlockChain technologies.

Candidate will bring solid experience in emerging and traditional technologies such as: AWS Cloud Formation Templates/Terraform Scripts/Ansible Playbooks, Kubernetes (EKS), Docker, Git/Github/Bitbucket, NoSql databases, Java Spring Boot, Angular, React Native, Selenium,/Cucumber, NoSql databases Data Engineering and Machine Learning.

Responsbilities:

Technical Lead for the following:

• Cloud Engineers to create Concept Incubation environments to build MVP Alpha and Beta Products which can leverage PII data for in market concept testing of new products and their features
• CI/CD Engineers to promote software code deployments by building and leveraging CI/CD pipelines across the various Incubation Environments across multiple clouds by bringing in BizDevSecOps for Mobile, Microservices, Chatbots & Virtual Agents including the AR/VR (Augmented Reality/Virtual Reality), BlockChain and AI Machine Learning Concepts.
• Automation Test Engineers to ensure the CI/CD pipelines incorporate Automated Tests for Integration/API, UI, Regression, Health Checks & Smoke Testing
• Provide consulting and advice to Machine Learning

Qualifications:

• Bachelor's degree in Computer Science or MIS
• 10+ years of experience in DevOps Engineering
• 5+ years of experience in Cloud Native technologies (Amazon Web Services, Google Cloud Platform)
• 4+ experience with coding and Scripting (Python, SQL, Java, JavaScript, Bash)
• 5+ years of experience using build and deployment tools (Jenkins, Docker, AWS EKS, AWS ECS, Spinaker, Bitbucket)
• 4+ years of experience using InfoSec tools such as SonarQube, Fortify, etc
• 5+ years of Automated Testing Experience (Gherkin, Cucumber, Selenium, etc.)
• 5+ years of experience working within Agile Development Practices
• AWS DevOps Engineer Professional Certification
• AWS Solutions Architect Professional Certification
• Master's in Computer Science or MIS strongly preferred
• GCP - Professional Cloud Architect strongly preferred
• GCP - Cloud DevOps Engineer strongly preferred
• 1-2 years Mobile CI/CD (Bitrise) & AI Ops experience strongly preferred
• AWS Machine Learning Specialty Certification strongly preferred
• Keys to Success in this Role:
• Proactive Go-getter who likes to pave the path for first mover products/concepts in a company
• Have a Start-up mindset with willingness to learn new things and incorporated key lessons learnt by failing fast build successful products by optimally leveraging NextGen DevOps across multiple clouds