AWS Cloud Engineer

About the role

Join a dynamic AWS Cloud Engineer opportunity focused on designing and delivering an end-to-end, event-driven data processing solution in a modern cloud environment. This hybrid role offers the chance to build scalable pipelines, work with containerized services, and support deployment across development, UAT, and production environments.

Responsibilities

• Design and implement an event-driven data pipeline that receives, parses, and processes configuration-based messages
• Build reliable message handling workflows using AWS SQS or similar queueing services
• Locate and retrieve the correct data files from Amazon S3 based on message content and business rules
• Develop parsing and transformation logic to support data processing requirements
• Integrate with services deployed on Amazon EKS and pass the correct payloads and parameters to downstream applications
• Validate service responses and route outputs to the appropriate downstream queues
• Implement logging, monitoring, retry logic, and error handling to support a stable production environment
• Create reusable Infrastructure-as-Code templates using Terraform
• Support development, testing, and deployment efforts across multiple environments
• Collaborate with architects, DevOps teams, and business partners throughout the delivery lifecycle
• Participate in code reviews, deployment planning, testing, and production support

Skills

• Strong Python development experience
• Hands-on experience with AWS cloud services, including EKS, Lambda, API Gateway, SQS, and S3
• Experience building event-driven solutions and working with cloud triggers
• Solid understanding of Docker and Kubernetes concepts
• Experience using kubectl for cluster management and troubleshooting
• Strong knowledge of Terraform and Infrastructure as Code practices
• Familiarity with CI/CD pipelines and deployment automation
• Ability to build cloud-native applications in a collaborative environment

Preferred Skills

• Experience with Snowflake or similar cloud data platforms
• Background in data engineering, ETL, or distributed systems
• Familiarity with monitoring and observability tools in AWS environments
• Experience working in Agile teams
• Strong communication skills and a proactive approach to problem-solving