Requirements: 4+ years of professional software engineering experience. Strong Python 3.x for backend service development. Production Node.js experience for API integration and business logic. TypeScript and React for CRM UI component development. Deep AWS Lambda expertise with event-driven patterns (SQS, SNS, EventBridge). Serverless Framework v3 including multi-service orchestration and plugin configuration. Advanced Git and GitHub for collaborative development.
- Maintain and evolve 10 serverless microservices in a monorepo architecture (Python for activation/signals/metrics; Node.js for payments/entities/platform signals).
- Develop and extend HubSpot CRM UI extensions using TypeScript/React (Self Audit, Product Selector, Deal Update components).
- Design and consume REST APIs with proper authentication handling (OAuth, API keys).
- Implement asynchronous messaging patterns using SQS with dead-letter queues, SNS, and EventBridge.
- Manage infrastructure as code via Serverless Framework and Serverless Compose.
- Ensure code health through SonarCloud gates and production reliability through Datadog monitoring.
- Handle i18n implementation using i18next for multi-language CRM experiences.
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. You will join a RevTech team managing a serverless integration platform that connects HubSpot CRM with internal systems. The scope spans 10 microservices handling customer activation, payments, entity synchronization, metrics, and UI extensions within HubSpot. This role offers involvement in impactful industrial data projects, with opportunities for long-term collaboration and growth within a global, fully remote environment.
Experience with HubSpot integrations, cloud architecture design, observability tooling beyond Datadog, proficiency in internationalization (i18n) approaches, and a track record of delivering revenue-critical features in a distributed system.