Senior Backend JavaScript Developer (DCA Datasets Team)

R&D & Technical Senior Backend JavaScript Developer (DCA Datasets Team) IL, Netanya (Hybrid) Description We’re looking for exceptional and experienced Backend JavaScript Developers to join our DCA data-sets 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, AWS (plus additional relational/NoSQL data stores as needed) Responsibilities 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). Hands-on experience with MongoDB and Redis. Experience with message broker systems (rabbitmq/kafka/Redis). Familiarity with Kubernetes and containerized deployments. Good understanding of system design fundamentals: APIs, data modeling, performance, scalability, and reliability. Fast learner, able to work both independently and as a team player. Proficiency in English, with strong written and verbal communication skills. Nice to Have: Experience with Snowflake and data pipelines/analytics. Experience with AWS and cloud-based production environments. Experience with Redis Streams. Experience with relational databases (e.g., PostgreSQL/MySQL) and additional NoSQL technologies. Experience with observability tooling (logging/metrics/tracing) and incident response.