Cloud Engineer
Temporary
Scadea
Job Title: Cloud Engineer
Location: Boston, MA or Atlanta, GA - 2-3 days a week onsite
Length: 6 months We are seeking an experienced Software Engineer/Cloud Developer to design, develop, and implement an end-to-end event-driven data processing pipeline on AWS. The ideal candidate will be responsible for building a scalable, resilient, and production-ready solution that can process incoming configuration-based messages, orchestrate data workflows, and integrate with downstream services deployed on AWS infrastructure. Key Responsibilities: • Design and develop an event-driven pipeline capable of receiving and parsing incoming messages containing configuration details. • Implement message queuing mechanisms to reliably capture and process requests using AWS SQS or similar services. • Develop logic to identify and retrieve the appropriate data files from Amazon S3 based on the information contained in the queued messages. • Build robust data parsing and transformation components to process files according to business and configuration requirements. • Integrate with containerized services running on Amazon EKS, ensuring the correct parameters and payloads are passed to downstream applications. • Process and validate service responses and publish output messages to the appropriate destination queues for downstream consumption. • Implement monitoring, logging, error handling, retry mechanisms, and operational alerting to ensure high availability and reliability. • Create reusable Infrastructure-as-Code templates using Terraform for automated provisioning and deployment. • Build and validate the solution in the Development environment and support infrastructure provisioning and deployment across UAT and Production environments. • Collaborate with architects, DevOps engineers, and business stakeholders to ensure solution scalability, security, and maintainability. • Participate in code reviews, testing, deployment planning, and production support activities. Required Technical Skills: • Strong programming experience in Python. • Hands-on experience with AWS services, including: - Amazon EKS - AWS Lambda - Amazon API Gateway - Amazon SQS - Amazon S3 - AWS Event-Driven Architectures and Event Triggers • Experience with Docker containerization and container orchestration concepts. • Strong knowledge of Terraform and Infrastructure as Code practices. • Experience with Kubernetes and kubectl for cluster management and troubleshooting. • Understanding of CI/CD pipelines, deployment automation, and cloud-native application development. Preferred Skills: • Experience working with Snowflake and cloud-based data platforms. • Knowledge of data engineering, ETL processes, and distributed systems. • Familiarity with monitoring and observability tools in AWS environments. • Experience working in Agile development environments and cross-functional teams. The successful candidate will play a key role in building and operationalizing a modern, event-driven AWS platform that supports scalable data processing and seamless integration across multiple environments.
Location: Boston, MA or Atlanta, GA - 2-3 days a week onsite
Length: 6 months We are seeking an experienced Software Engineer/Cloud Developer to design, develop, and implement an end-to-end event-driven data processing pipeline on AWS. The ideal candidate will be responsible for building a scalable, resilient, and production-ready solution that can process incoming configuration-based messages, orchestrate data workflows, and integrate with downstream services deployed on AWS infrastructure. Key Responsibilities: • Design and develop an event-driven pipeline capable of receiving and parsing incoming messages containing configuration details. • Implement message queuing mechanisms to reliably capture and process requests using AWS SQS or similar services. • Develop logic to identify and retrieve the appropriate data files from Amazon S3 based on the information contained in the queued messages. • Build robust data parsing and transformation components to process files according to business and configuration requirements. • Integrate with containerized services running on Amazon EKS, ensuring the correct parameters and payloads are passed to downstream applications. • Process and validate service responses and publish output messages to the appropriate destination queues for downstream consumption. • Implement monitoring, logging, error handling, retry mechanisms, and operational alerting to ensure high availability and reliability. • Create reusable Infrastructure-as-Code templates using Terraform for automated provisioning and deployment. • Build and validate the solution in the Development environment and support infrastructure provisioning and deployment across UAT and Production environments. • Collaborate with architects, DevOps engineers, and business stakeholders to ensure solution scalability, security, and maintainability. • Participate in code reviews, testing, deployment planning, and production support activities. Required Technical Skills: • Strong programming experience in Python. • Hands-on experience with AWS services, including: - Amazon EKS - AWS Lambda - Amazon API Gateway - Amazon SQS - Amazon S3 - AWS Event-Driven Architectures and Event Triggers • Experience with Docker containerization and container orchestration concepts. • Strong knowledge of Terraform and Infrastructure as Code practices. • Experience with Kubernetes and kubectl for cluster management and troubleshooting. • Understanding of CI/CD pipelines, deployment automation, and cloud-native application development. Preferred Skills: • Experience working with Snowflake and cloud-based data platforms. • Knowledge of data engineering, ETL processes, and distributed systems. • Familiarity with monitoring and observability tools in AWS environments. • Experience working in Agile development environments and cross-functional teams. The successful candidate will play a key role in building and operationalizing a modern, event-driven AWS platform that supports scalable data processing and seamless integration across multiple environments.
Vacancy posted 14 hours ago
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