Design, develop and evolve scalable backend services using Node.js and Python, applying System Design principles to build resilient solutions;
Serverless ecosystem: implement REST APIs and event-driven architectures using the core AWS stack (Lambda, API Gateway, SQS/SNS, Step Functions);
GenAI integration: actively participate in technical discussions around Generative AI, supporting architectural decisions, responsible use, and integrations with legacy systems and new products;
Data persistence: work with NoSQL databases, with a primary focus on DynamoDB, ensuring high performance and efficient data modeling;
Infrastructure as Code: create and manage infrastructure programmatically using Terraform;
Technical leadership and quality: act as a technical reference for the team by conducting code reviews, mentoring, and promoting best practices in Clean Code, SOLID and Design Patterns;
Observability and resilience: ensure application health through monitoring tools (Datadog) and by applying security and testing best practices.

Proficient in Node.js: proven, solid experience in backend development using the Node ecosystem;
AWS (Serverless) specialist: extensive hands-on experience with Lambda, API Gateway, DynamoDB, S3, SQS and SNS;
System architecture: strong knowledge of designing scalable solutions, microservices and event-driven architectures;
Software engineering: mastery of design patterns, Git version control and building CI/CD pipelines (e.g., GitHub Actions);
Infrastructure as Code: solid experience with Terraform;
Observability: practical experience with Datadog for monitoring and troubleshooting;
Interest in AI: genuine desire to learn and grow in the field of Generative Artificial Intelligence.

Senior Backend Developer – Node.js, Python, AWS

Key skills