AWS Cloud Architect

AWS Cloud Architect

Location: Client office in Plano, TX (Onsite interview required) Duration: Long-term Start date: Immediate

DXC Team is seeking an AWS Cloud engineer to help configure, deploy, and operationalize platforms for data science on AWS. As models, apps, and data pipelines are created and operationalized, the data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the deployment and operational capabilities of the data science team. AWS Cloud engineer joins a growing competency within the data science team to operationalize a variety of analytics products on cloud platforms.

Responsibilities:

• Designing, configuring, deploying, managing, and automating cloud infrastructure (S3, IAM, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch, Databricks, Glue, MLops, and Athena) that is secure and scalable on AWS to be used by the data science team and extended team.
• Monitoring and ensuring the integrity of data pipelines.
• Automating cloud deployments using Terraform.
• Administering the deployment, management, and monitoring of applications deployed on AWS via CI/CD and/or containers.
• Ensuring the compliance of the data science operations on AWS.
• Monitoring usage, cost, and implementing optimizations of a variety of AWS resources.
• Maintaining the Jenkins pipeline and performing code promotions through change management.
• Provisioning DynamoDB tables with encryption and grant access using the IAM policies.
• Deploying and managing AWS Serverless applications running on API Gateway and LAMBDA.
• Deploying Redshift Clusters into VPC with encryption, enabling cross-region snapshots, configuring subnet groups, and setting up monitoring, and resizing the cluster using elastic and classic methods.

Primary Skills:

• AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch, etc.
• Bigdata: Databricks, Cloudera, Glue, and Athena
• Automation: Terraform and Python

Qualifications:

• Bachelor’s degree with 14+ years of experience: 8+ years of experience in designing, building, and maintaining AWS Cloud infrastructure and 6+ years of experience in Bigdata administration and/or infrastructure administration.
• Experience in automating AWS infrastructure using Terraform and Python is a must.
• Experience in database technologies is a plus.
• Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
• Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups, etc.
• Experience working in the SCRUM environment.