We’re looking for exceptional and experienced Senior Backend JavaScript Developers to join our DCA team, with deep expertise in Node.js and building production-grade backend services.
In this role, you will take end-to-end ownership of product and feature development, building SaaS applications and services in a microservices architecture, using modern technologies in a fast-paced and professional environment.
Tech Stack:
Node.js, JavaScript, MongoDB, Kubernetes, Redis (including Redis Streams), Snowflake
(plus additional relational/NoSQL data stores as needed)
What you'll do
End-to-end feature development, from design and implementation to production rollout and ongoing improvements
Build and operate backend services with a strong focus on scalability, reliability, and performance in a microservices environment
Participate in system design and architecture planning, and contribute to technical decisions across the team
Work with asynchronous, message-driven components using Redis Streams, including debugging, tuning, and ensuring resilient processing
Write high-quality, maintainable code with appropriate test coverage; participate actively in code reviews
Collaborate effectively with teammates and cross-functional stakeholders to deliver high-impact outcomes
Continuously learn, adapt, and stay up-to-date with best practices and evolving technologies
Requirements
5+ years of hands-on software engineering experience, including 3+ years focused on backend JavaScript / Node.js development
Proven experience building and maintaining SaaS applications and/or production backend services
Experience working in a microservices architecture (service boundaries, APIs, reliability patterns)
Experience with LangChain and LangGraph, including building and orchestrating LLM-powered workflows
Hands-on experience with MongoDB and Redis (including practical experience with Redis Streams or similar pub/sub/stream processing)
Familiarity with Kubernetes and containerized deployments
Good understanding of system design fundamentals: APIs, data modeling, performance, scalability, and reliability
Nice to have
Experience with Snowflake and data pipelines/analytics
Experience with AWS and cloud-based production environments
Experience with relational databases (e.g., PostgreSQL/MySQL) and additional NoSQL technologies
Experience with observability tooling (logging/metrics/tracing) and incident response