Senior Fullstack Engineer - US

Cyera Cyera · Vertical AI · NY Metro · G&A

Senior Full Stack Engineer to build and operate an internal analytics and AI platform. The role involves backend development (Python, AWS) and frontend work (React/TypeScript), integrating with LLMs (Amazon Bedrock), Snowflake, and data pipelines. Responsibilities include building backend services, developing the frontend, creating LLM agent integrations (orchestration, prompt management, multi-agent workflows), ensuring platform reliability, implementing access control, building data visualizations, and collaborating on data infrastructure.

What you'd actually do

  1. Build and maintain LLM agent integrations, including tool orchestration, prompt management, and multi-agent workflows using Amazon Bedrock.
  2. Design, build, and maintain backend services powering the analytics platform (Python/FastAPI, DynamoDB, S3, AWS ECS).
  3. Develop and improve the React/TypeScript frontend, including the dashboard builder, data visualization, admin panels, and session management UI.
  4. Own platform reliability: session persistence, streaming stability, error handling, timeout management, and performance optimization.
  5. Manage deployment infrastructure including ECS task definitions, CI/CD pipelines, and environment configuration.

Skills

Required

  • Python
  • FastAPI
  • TypeScript
  • React
  • AWS
  • ECS
  • DynamoDB
  • S3
  • REST API design
  • Authentication/Authorization
  • Service Architecture
  • SQL
  • Snowflake
  • dbt
  • CI/CD
  • Docker

Nice to have

  • LLM integration
  • prompt engineering
  • tool calling
  • streaming responses
  • Data visualization
  • D3
  • Recharts
  • Plotly
  • BI platform development
  • DynamoDB data modeling
  • GSI design
  • access pattern optimization
  • Data warehousing concepts
  • Analytics workflows
  • High-growth SaaS
  • Cybersecurity

What the JD emphasized

  • 5+ years of professional software engineering experience, with at least 2 years building production web applications.
  • Strong Python skills with production experience building APIs in FastAPI.
  • Working proficiency in TypeScript and React (or equivalent modern frontend framework).
  • Experience with AWS services, particularly ECS/Fargate, DynamoDB, and S3
  • Solid understanding of REST API design, authentication/authorization patterns, and service architecture.
  • Comfortable with SQL and working alongside data teams that use Snowflake and dbt.
  • Experience with CI/CD, containerized deployments (Docker), and infrastructure debugging.
  • Self-directed and comfortable owning features end-to-end in a small team with minimal hand-holding.
  • Experience integrating LLMs or AI models into production applications (prompt engineering, tool calling, streaming responses).

Other signals

  • integrates deeply with LLMs
  • AI-powered insights
  • LLM agent integrations