Jobs · Engineering · New York

Senior Software Developer

Jobright.ai · New York, United States · Yesterday
On-siteEngineering$150k–$240k/yrFull-time

Role Responsibilities

  • Design and ship scalable APIs and backend services in Node.js (Nest.js) and Python (FastAPI)
  • Architect and evolve a distributed, event-driven microservices ecosystem with Kafka at its core
  • Contribute directly to product features — not just the plumbing
  • Design and own our cloud infrastructure using Terraform on AWS
  • Operate and scale Kubernetes environments with an emphasis on reliability, performance, and security
  • Build monitoring, logging, and distributed tracing systems that make production debuggable and resilient
  • Establish the standards the rest of the team builds on top of
  • Build the infrastructure that makes AI real in production: pipelines, agent frameworks, data processing systems, and model integrations
  • Partner with product and data teams to move fast without cutting corners on reliability or scale
  • Own the internal platform — CI/CD pipelines, local dev environments, deployment workflows, and the tooling that lets engineers focus on building instead of fighting their setup
  • Make the developer experience a competitive advantage
  • Lead critical backend initiatives from design to delivery
  • Drive architectural reviews
  • Mentor engineers through hard problems
  • Raise the bar on quality, pragmatism, and ownership across the team

Qualifications

  • 5+ years building and operating production-grade backend and distributed systems
  • Deep hands-on experience with Node.js (TypeScript) and/or Python
  • Strong grasp of microservices, event-driven architecture, and message brokers (Kafka, RabbitMQ, or similar)
  • Experience building CI/CD pipelines, infrastructure automation, and cloud-native systems
  • Proficiency with Docker, Kubernetes, and AWS
  • Solid data modeling across relational and/or NoSQL systems
  • Experience with AI or data pipelines, automations, or ML-enabled systems
  • Comfort operating across the full stack — from infrastructure to backend to data
  • Strong plus: familiarity with modern AI tooling — LLMs, embeddings, agent architectures

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