Cloud Automation Engineer

1 month ago

San Antonio, United States VDart Full time
Role :- Cloud Automation Engineer

Location :- San Antonio, TX or Plano, TX(Onsite)

Job Description :-

  • Efficient in build and configuration of Infrastructure in AWS Cloud development through the usage of Terraform tool , and ability to modifying the Terraform modules based on the requirement of development projects.
  • Capability in dealing with an integrated deployment workflow across DEV, TEST & PROD with the usage of Continuous Integration/Continuous Delivery pipeline projects.
  • Good knowledge of Python with Boto3 to supplement automation provided by Terraform for AWS Cloud deployments.
  • Team player and ability to quickly understand, learn and implement the new system design & data models.Technical Skills:Terraform, Python, Gitlab, AWS ServicesGood to have skills:AWS Services like: DynamoDB, Aurora PostgreSQL, S3, Lambda, etc.
  • Core Database Administration Skills
    • Database Design & Architecture: Understanding of relational and NoSQL databases, data modeling, normalization, indexing, and partitioning.
    • Performance Tuning: Skills in query optimization, index management, and troubleshooting slow-performing queries.
    • Backup & Recovery: Implementing backup strategies, point-in-time recovery, and disaster recovery planning.
    • Security Management: Knowledge of database security practices, including encryption, user roles, and access control.
  • AWS Database Services
    • Amazon RDS (Relational Database Service): Proficiency in managing RDS instances for databases like MySQL, PostgreSQL, SQL Server, MariaDB, Oracle, and Amazon Aurora.
    • Amazon Aurora: Experience with Aurora's unique features such as auto-scaling, multi-region deployments, and read replicas.
    • Amazon DynamoDB: Skills in managing this NoSQL database service, including capacity planning, indexing, and querying.
    • Amazon DocumentDB and Amazon Neptune: Understanding of these database services for document-oriented and graph database use cases.
  • Cloud Skills
    • AWS CLI and SDKs: Experience using AWS Command Line Interface (CLI) and software development kits to automate tasks.
    • CloudFormation and Terraform: Infrastructure-as-Code (IaC) skills for managing database resources.
    • Monitoring & Logging: Familiarity with tools like Amazon CloudWatch, AWS CloudTrail, and third-party monitoring tools for database monitoring and alerting.
    • Automation and Scripting: Knowledge of scripting languages like Python, PowerShell, or Bash for automating tasks.
  • High Availability and Scalability
    • Multi-AZ Deployments and Read Replicas: Ensuring database availability and read scalability.
    • Database Clustering: Understanding of clustering concepts for databases, such as Aurora clusters and PostgreSQL clustering.
    • Auto-scaling: Knowledge of scaling strategies for both relational and NoSQL databases in AWS.
  • Migration and Data Integration
    • Database Migration Service (DMS): Skills in migrating on-premises databases to AWS using DMS.
    • Data Pipeline Tools: Experience with AWS Glue, AWS Data Pipeline, or third-party tools for ETL operations.
  • Security and Compliance
    • IAM Policies: Implementing proper Identity and Access Management (IAM) roles for database access.
    • Encryption: Knowledge of data-at-rest and data-in-transit encryption techniques using AWS Key Management Service (KMS).
    • Compliance: Understanding compliance requirements (e.g., GDPR, HIPAA) and ensuring database configurations adhere to them.
DevOps and CI/CD

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