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.
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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
