| Cloud Automation Engineer-San Antonio, TX or Plano, TX(Onsite)-Contract at Plano, Texas, USA |
| Email: [email protected] |
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Hi Hope you are doing well Please find the attached resume Current location Texas Thankyou Kranthi kumar 469-898-6223 From: 'Sumit Raj I3 Infotek' via c2crequre <[email protected]> Sent: Monday, December 23, 2024 10:17:17 PM To: [email protected] <[email protected]> Subject: Cloud Automation Engineer-San Antonio, TX or Plano, TX(Onsite)-Contract Client -HCl -Please don't share the resume if you have already submitted with HCL in past 3 months . HI, Please find the requirement Role :- Cloud Automation Engineer Location :- San Antonio, TX or Plano, TX(Onsite) Hire 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 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, Power, 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 | 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. | Thanks, Sumit Raj Email:[email protected] /[email protected] www.i3infotek.com -- To view this discussion visit -- Keywords: continuous integration continuous deployment sthree rlang information technology Arizona Texas Cloud Automation Engineer-San Antonio, TX or Plano, TX(Onsite)-Contract [email protected] |
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| 10:48 PM 23-Dec-24 |
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