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Your future duties and responsibilities
• Daily DevOps Tasks: Collaborate with a team to support two product teams, focusing primarily on Cloud Operations with AWS and automation.
• Automation Scripting: Develop scripts to automate functionalities and features.
• System Design and Implementation: Design and implement development and testing environments.
• Developer Collaboration: Work closely with developers to gather feedback and assess software conditions.
• Deployment Management: Perform deployments in both Implementation and Production environments.
• Infrastructure as Code (IaC): Create scripts to establish AWS infrastructure as needed.
• Process Improvement: Enhance current deployment and monitoring processes to improve software delivery.
• Innovation and Cost Reduction: Collaborate with the team to innovate and improve the current state, aiming to reduce operational costs for clients
Required qualifications to be successful in this role
• AWS Expertise: Must have hands-on experience with AWS services such as EC2, S3, VPC, EKS, MWAA, RDS Aurora Postgres, Redshift, NLB, Secrets Manager, and Fargate.
• CI/CD Pipelines: Proven experience in setting up CI/CD pipelines using Jenkins, GitHub, and other open-source tools.
• Infrastructure as Code: Experience in provisioning AWS resources using Terraform and/or CloudFormation scripts.
• Cloud Monitoring: Proficiency in cloud infrastructure monitoring using tools like Splunk, New Relic, and CloudWatch.
• Argo Workflow: Experience with Argo Workflow.
• Containerization: Experience with containerization tools such as Docker.
• AWS Services Development: Ability to design, implement, develop, and maintain AWS services-based solutions in emerging technologies.
• Technical Communication: Capable of driving technical discussions, explaining best approaches to solutions, and presenting product options to meet customer needs, including non-technical stakeholders.
• Serverless Archite
Desired qualifications/non-essential skills required:
• Python Scripting: Experience in scripting with Python.
• Data Lakes/Warehouses: Experience with configuring data lakes or data warehouses.
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