Engineer

Skill: Cloud Engineer

• 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.

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