Requirements

• Experience building and managing enterprise cloud infrastructure.
• Strong hands-on experience on AWS and/or Azure environments
• Strong hands-on experience with Infrastructure as Code (IaC) using Terraform and CloudFormation tools.
• Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, RDS/Aurora, ElastiCache, ECS/EKS
• Proven experience in setting up DevOps infrastructure, CI/CD pipelines, driving automated build management using GitLab, Jenkins, Nexus, Sonar, Ansible Tower, Maven, Code Commit, Code Pipeline and Code build services.
• Demonstrated experience with AWS Data/Analytics services such as EMR, Redshift, Athena, Glue, Datalake, QuickSight
• Demonstrated experience of building end-to-end enterprise grade platform solutions using AWS Databricks.
• Extensive experience in Databricks Workspace, Notebooks, Spark Clusters, Delta Lake, Lakehouse solutions.
• Extensive expertise in providing guidance, building highly available/fault-tolerant enterprise class infrastructure with multiple-region and multi-AZ models.
• Experience with 3rd party cloud monitoring solutions such as Dynatrace, Data Dog, ELK Stack, Prometheus
• Experience with container implementations using Elastic Container Services (ECS), Elastic Kubernetes Services (EKS), Docker.
• Working knowledge of implementing cloud identity and access management solutions to enforce security guidelines.
• Working knowledge and experience with DevSecOps operating model
• Experience working in Agile teams.
• Development experience using Python and/or Java preferred.
• Proven experience translating architectural plans and business requirements into infrastructure implementations.
• Self-starter with the ability to effectively plan, prioritize and manage multiple projects, tasks and deliverables throughout project lifecycle.