[Hiring] Master Software Developer - Data Engineering & Integrations @CI&T

Role Description

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 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.

Qualifications

• 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

Requirements

• 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)

Benefits

• Premium Healthcare
• Meal voucher
• Maternity and Parental leaves
• Mobile services subsidy
• Sick pay-Life insurance
• CI&T University
• Colombian Holidays
• Paid Vacations
• And many others.