Junior Backend Developer specializing in AI Conversational solutions at Inbot. Collaborating on projects using JavaScript and Node.js in a hybrid work model.
Responsibilities
Cloud Development: Work in AWS environments (EC2, EKS, ECR, ACM, RDS), ensuring performance, scalability and security.
Containerization and Orchestration: Implement and manage containers with Docker and Kubernetes (administration, creating pods, services, ingress, etc.).
System Integrations: Develop integrations between the virtual assistant and clients' systems using REST APIs and JSON, as well as OpenAPI/Swagger.
Backend Development: Work primarily with JavaScript, Node.js, Promises, HTML5, CSS and TypeScript to build robust, asynchronous functionality efficiently.
Full Stack Development: Also work on front-end layers when necessary, ensuring end-to-end integration.
Authentication and Security: Implement authentication with OIDC (OpenID Connect), SAML and apply secure development practices.
API Creation and Maintenance: Develop internal and external APIs with clear, standardized documentation.
Database Management: Create, administer and optimize relational and non-relational databases (SQL, MongoDB, RDS on AWS).
Linux Environment: Manage and configure Linux servers, using Shell Script for automation.
Version Control: Use Git for code versioning, continuous integration and CI/CD practices.
Report Development: Create queries and reports for products and services.
Best Practices: Apply Promises, automated testing, code documentation and agile methodologies to ensure scalability and quality.
Requirements
Academic Background: Degree in Computer Science, Software Engineering or related areas.
Experience: Minimum 2 years of proven development experience, preferably with JavaScript and Node.js.
Essential Technical Knowledge:
AWS (EC2, EKS/Kubernetes, ECR, ACM, RDS)
REST APIs and JSON
Git (code control and versioning)
Linux (administration and Shell)
Promises and asynchronous programming in JavaScript
Secure development practices and automated testing
Nice to have:
Experience with Java or Scala.
Knowledge of microservices and serverless architecture.
Experience with DevOps and CI/CD tools.
Familiarity with Generative AI for process optimization and user experience.
Knowledge of systems architecture (networks, firewalls, DNS, routing, data modeling).
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