Volody - AWS/DevOps Engineer - CI/CD Pipeline (2-6 yrs)

Volody is enterprise software company looking out for AWS / Development Operations engineer with prior experience of AWS / Azure & cloud installations for large corporate houses. Candidate should have prior knowledge of working on cloud & on-premise set-up, email integration, website management, installation and cloud management of AWS, Azure. Google SSO, Microsoft Active Directory and sharepoint integration integration. Also should be able to handle laptops procurement, maintenance and repair.

The candidate should be well versed with :

- Backend and Data Engineering : Lead backend development efforts by designing and managing backend APIs, creating dashboards, user interfaces, and developing data models to meet client requirements.

- Automated Deployment with CI/CD Pipelines : Experience of working on Docker to containerize applications, manage Docker images in Docker Hub and ECR, and orchestrated deployments using AWS CodePipeline, including automated notifications for each pipeline stage.

- Shell Scripting for Automation in CI/CD Pipelines : Created shell scripts to automate the installation of dependencies and configurations in AWS CodePipeline, enhancing deployment efficiency.

- Implemented Application Load Balancer (ALB) for Secure Web Traffic : Configured ALB to manage incoming traffic and enforce HTTPS protocol using AWS Certificate Manager (ACM) for enhanced security and scalability.

- Dashboard Creation in AWS QuickSight and Power BI : Developed interactive dashboards using AWS QuickSight and Power BI to visualize unstructured data. Integrated data from third-party APIs, performed ETL processes, and transformed data into actionable insights for analytics.

- Data Management and Upsert Operations with AWS Glue and MySQL : Leveraged Python in AWS Lambda functions to establish seamless connections between AWS Glue and MySQL databases.

- Developed and executed Python scripts to trigger stored procedures and perform upsert operations (insert and update) on MySQL databases, ensuring data consistency, accuracy, and minimizing data redundancy.

- Salesforce and AWS Integration for Dynamic Data Sync : Engineered an integration solution for dynamic data synchronization between Salesforce and AWS, employing Apex triggers to facilitate real-time data transfers.

- Infrastructure as Code with AWS CloudFormation : Launched multiple AWS services through CloudFormation templates, ensuring scalable and repeatable infrastructure deployments.

- Design and Implementation of Real-Time Data Analytics Platform : Architected a scalable, real- time data analytics platform using AWS Glue, Redshift, and S3.

- Developed efficient ETL pipelines and optimized data processing workflows to enhance speed, reliability, and scalability.