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

Horizontal is committed to fostering an inclusive workplace where everyone feels respected, supported, and empowered to contribute. We welcome candidates from all backgrounds and perspectives and value diversity, equity, and inclusion as essential to building innovative teams and solutions.