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