What You?ll Do

• Assist in the rollout and training of resources on utilizing AWS data science support tools and the AWS environment for development squads.
• Work within the client?s AWS environment to help implement AI / ML model development and data platform architecture
• Help evaluate, recommend, and assist with installing of cloud-based tools
• To wrangle data and host and deploy AI models

Expertise You?ll Bring

• A Bachelor?s or master?s degree in science, engineering, mathematics or equivalent experience
• 5+ years working as a DevOps engineer
• Strong hands-on working with AWS ? Lambda, S3, or similar tools
• Working in an AGILE environment
• Object Oriented Programming (OOP)
• Relational database ? MySQL preferred
• Proficiency in containerization tools
• Linux
• Shell Scripting ? Bash, Python
• Git
• CI / CD using Jenkins
• Containerization ? Kubernetes, Pivotal Cloud Foundry, or other similar tools
• Software development process including architectural styles and design patterns
• Create CI / CD pipelines using Jenkins, Code Build, AWS ECR, and Helm
• Jenkins ? job as code, infrastructure as code
• All aspects of provisioning compute resources within the AWS environment

Benefits

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents