Integration Engineer

The Advanced Intelligence Work Group is seeking an Integration Engineer to design, build, and maintain robust backend integrations that power data flow across systems, applications, and AI-driven copilots. This role is critical for enabling seamless connectivity between databases, third-party services, APIs, and internal tools, while occasionally leveraging no-code platforms to streamline workflows.  Role & Responsibilities:  • Design, develop, and maintain RESTful APIs for internal and external systems.  • Integrate third-party APIs (e.g., CRM, SaaS tools) with company applications and AI copilots.  • Build and optimize data pipelines to ensure reliable, real-time data flow between databases, applications, and analytics platforms.  • Implement and manage ETL/ELT processes for data transformation and synchronization.  • Develop automated workflows using no-code/low-code orchestration tools (e.g., n8n, Zapier, Make.com) to streamline business processes.  • Collaborate with AI/ML teams to ensure data availability and quality for training and inference in copilots.  • Monitor, troubleshoot, and enhance API performance, security, and scalability.  • Maintain documentation for integrations, data flows, and system architecture.  • Collaborate with DevSecOps and compliance teams to ensure data security and compliance with data privacy regulations (e.g., GDPR, CCPA) in all integrations.  Skills & Expertise:  • Required:  • Proficiency in API design, development, and management (FastAPI, OpenAPI/Swagger).  • Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB).  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and serverless architectures (Lambda, API Gateway).  • Familiarity with ETL tools and data pipeline frameworks.  • Good familiarity with no-code/low-code workflow automation platforms (n8n, Zapier).  • Strong scripting skills (Python, JavaScript, or Go) for custom integrations.  • Knowledge of authentication/authorization protocols (OAuth2, JWT, SAML).  • Understanding of data modeling, schema design, and API security best practices.  •   • Nice to Have:  • Experience with message brokers (Kafka, RabbitMQ) and event-driven architectures.  • Familiarity with API gateways (Kong, Apigee), monitoring tools (Postman, Datadog) and structured logging (Logfire, Logstash)  • Knowledge of data governance and metadata management.  • Certifications in cloud platforms or integration tools (AWS Certified Developer, Zapier Expert).    Qualifications:  • Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).  • 5+ years of experience in API development, data integration, or backend engineering roles.  • Proven track record of building scalable integrations with third-party systems and no-code platforms.  • Strong problem-solving skills and ability to work in cross-functional teams (Engineering, Data Science, Product).  • GSD (Get Stuff Done) attitude is critical.