Cloud Automation Engineer
Cloud Automation Engineer
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Job Description
Hi
Hope you are doing Good!!
This is Priya from S2SSoft LLC we are looking for Cloud Automation Engineer the below mentioned job description. Kindly forward me your resume Rate and contact details for further process.
Title : Cloud Automation Engineer
Location : San Antonio TX or Plano TX(Onsite)
Type : Contract
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 Services Good 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 slowperforming queries.
Backup & Recovery: Implementing backup strategies pointintime 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 Auroras unique features such as autoscaling multiregion 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 documentoriented 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: InfrastructureasCode (IaC) skills for managing database resources.
Monitoring & Logging: Familiarity with tools like Amazon CloudWatch AWS CloudTrail and thirdparty 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
MultiAZ 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.
Autoscaling: Knowledge of scaling strategies for both relational and NoSQL databases in AWS.
Migration and Data Integration
Database Migration Service (DMS): Skills in migrating onpremises databases to AWS using DMS.
Data Pipeline Tools: Experience with AWS Glue AWS Data Pipeline or thirdparty tools for ETL operations.
Security and Compliance
IAM Policies: Implementing proper Identity and Access Management (IAM) roles for database access.
Encryption: Knowledge of dataatrest and dataintransit 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
Integration with CI/CD Pipelines: Understanding how to incorporate database changes into CI/CD workflows using tools like Jenkins GitLab CI or AWS CodePipeline.
Version Control for Database Changes: Managing database schema changes using version control tools.
Sound knowledge in Terraform is needed.
Employment Type
Full Time
