Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture.
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact.
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services.
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices.
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability.
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness.
3+ years building server-side applications in JavaScript/TypeScript using Node.js frameworks such as NestJS or Express.
3+ years building user-facing features with React, including component-driven development and front-end architecture.
Experience with relational and NoSQL databases (PostgreSQL, MongoDB, or similar), including schema design and performance considerations.
Strong understanding of RESTful APIs, service boundaries, and integration patterns in a microservices environment.
Feature ownership experience: independently driving projects from early design through delivery, rollout, and post-launch improvements.
Experience with state management (Zustand preferred) and building maintainable, testable UI flows.
Events infrastructure background: hands-on experience with event-driven systems and messaging (for example, Kinesis, SQS, SNS, EventBridge, Kafka), including reliability patterns like retries, dead-lettering, ordering considerations, and idempotency – major plus.
Experience with design systems and reusable UI patterns (Material UI experience preferred), including atomic design principles – plus.
Familiarity with modern development practices (unit and integration testing, CI/CD pipelines, code quality, observability) – plus.
Experience leveraging AI-assisted development tools and workflows effectively, with the ability to critically evaluate outputs.
Fluency in English and experience working with global teams/stakeholders.
