Role Overview We are looking for a Full Stack - Lead who is equally comfortable building user-facing product features and the data and integration layers that power them. You will design and build front-end interfaces, backend services, and RESTful APIs end to end. Alongside that, you will take on real data engineering responsibility — building data pipelines, integrating disparate systems, and ensuring data flows reliably and consistently across the platform. Key Responsibilities • Design and build full-stack product features, from front-end UI through backend services and APIs, taking features from design through to production. • Build and maintain data pipelines and integration services that move, transform, and reconcile data across multiple systems and data stores. • Design and implement RESTful APIs and service-layer components that expose business logic and data to front-end and downstream applications. • Integrate with third-party and legacy systems, handling mismatched data models, partial failures, and data reconciliation. • Implement event-driven architectures and idempotent processing to ensure reliable data flow between services. • Collaborate with data engineers and architects to define data contracts, schemas, and shared data stores used across the platform. • Instrument features for experimentation and measurement (A/B testing, analytics, usage tracking). • Ensure secure, scalable, and maintainable application development, following modern engineering best practices. • Contribute to code reviews, automated testing, release readiness, and production support. Required Skills and Experience • 10+ years of professional experience in full-stack software development. • Strong front-end development skills (JavaScript/TypeScript, React or an equivalent modern framework). • Strong back-end development skills (Node.js, Python, or Java), with experience designing RESTful APIs. • Hands-on experience with data pipelines, ETL/ELT processes, or event-driven data integration. • Experience integrating with third-party or legacy systems, including data mapping, transformation, and reconciliation logic. • Experience with cloud-native application delivery (AWS, Azure, or GCP), including serverless and managed services such as Lambda/Functions, event buses, and managed NoSQL or relational databases. • Solid understanding of event-driven patterns, idempotent processing, and distributed system reliability. • Strong SQL and data modeling skills. • Strong collaboration skills across product, engineering, and data teams. Preferred Qualifications • Experience building search, routing, or matching/assignment systems. • Experience with CRM or contact-center platform integrations (e.g., Salesforce or similar). • Experience with AI-assisted or chat-driven product interfaces. • Familiarity with data warehousing or analytics platforms (e.g., Redshift, Snowflake, BigQuery). Experience instrumenting features for A/B testing and experimentation