[ Job - 28675] Master Software Developer - Data Engineering & Integrations

We are developing an AI-powered broadcast media planning solution for one of the largest radio players in the United States. The project leverages AWS (Bedrock, Lambda) to create a system that democratizes access to sophisticated multi-market planning strategies, enabling sellers of all experience levels to generate mathematically optimized proposals with unprecedented speed and precision.

As a Master Software Developer, you will be responsible for designing and implementing the entire data integration layer using Model Context Protocol (MCP). You will build robust, scalable connectors to multiple data sources (audience projections, inventory, pricing, market intelligence) and ensure seamless data flow between the client's ecosystem and our optimization engines. This role requires expertise in both Python and Node.js, working in an agile environment.

Requirements for this challenge:

Fluent English (conversation and technical documentation)
Solid experience in Software Development with focus on data engineering or backend systems
Advanced Python (data processing, API integrations, AWS Lambda development)
Strong Node.js (backend development, API servers)
RESTful API design and integration (consuming and exposing APIs at scale)
AWS serverless architecture (Lambda, API Gateway, DynamoDB)
Data pipeline development (ETL/ELT processes, data transformation logic)
Error handling and resilience patterns (retry logic, circuit breakers, fallback strategies)

Agile methodologies

Nice to Have:

Model Context Protocol (MCP) experience or similar integration frameworks
GraphQL and SOAP API integration experience
AWS infrastructure as code (CDK, Terraform, CloudFormation)
Experience with audience/media data systems (Nielsen, Comscore, ad tech platforms)
Message queuing systems (SQS, SNS, EventBridge)
Observability tools (CloudWatch, X-Ray, DataDog)
CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)