
Senior Full Stack Developer
1 week ago
About Culvii
We're building a platform that transforms expertise into artificial domain intelligence, giving professionals effortless ways to weave AI into what they do best. Our mission is to empower experts—whether in finance, insurance, cybersecurity, telecom, or beyond—to harness AI without the complexity, enabling them to focus on what they do best.
Role Overview
We are seeking an experienced Backend Engineer to help us build scalable, reliable, and high-performance backend services. You will work closely with our engineering and product teams to design, develop, and maintain core backend systems that power our applications.
Responsibilities
Design and Development:
Utilize Node.js with frameworks like Fastify and Express to create robust backend services.
Work within a monorepo architecture (Turborepo or Nx) to ensure scalable and maintainable codebases.
Infrastructure and Deployment:
Containerize and orchestrate services with Docker and Kubernetes.
Deploy and maintain infrastructure on AWS and/or Google Cloud Platform (GCP).
Testing and Quality Assurance:
Write well-documented APIs and test them using Postman and automated tools.
Conduct load and performance testing to ensure system reliability under scale.
Collaboration and Requirements:
Collaborate with cross-functional teams to define, design, and ship new features.
Ensure backend systems follow best practices for security, scalability, and maintainability.
Requirements
Strong Technical Skills:
Experience with Node.js, Typescript and its ecosystem (Fastify, Express, related tools).
Experience working with monorepo setups (Turborepo, Nx).
Proficiency in CI/CD workflows and tools (GitHub Actions, GitLab CI, Jenkins, etc.).
Cloud and Infrastructure Experience:
Hands-on experience with Docker and Kubernetes in production environments.
Cloud experience with AWS and/or GCP services (compute, networking, storage).
Experience with AI frameworks such as LangChain, LangGraph, CrewAI, MCP, etc.
Desirable Skills:
Familiarity with microservices architecture.
Exposure to observability tools (Prometheus, Grafana, ELK, OpenTelemetry).
Knowledge of DevOps practices and infrastructure as code (Terraform).
Experience with Python and FastAPI.
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