Full Stack Engineer (Python / Cloud / React)

EXL•Hartford, CT
•$90,000 - $110,000•Hybrid

About The Position

We’re looking for a Full Stack Software Engineer who loves building end‑to‑end solutions, thrives in a collaborative environment, and enjoys working across modern backend, frontend, and cloud technologies.

Requirements

  • 4–5 years of professional software engineering experience
  • Strong experience with Python and frameworks like FastAPI or Django
  • Solid SQL skills and experience with relational databases
  • Hands‑on experience with React or similar frontend frameworks
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience with CI/CD, Jenkins, and Atlassian tools
  • Strong understanding of engineering best practices and version control
  • Graduate in Data Science, Computer Science, Statistics, or a related field.
  • 3-4 years of experience in data science or data analysis.

Nice To Haves

  • Experience with Docker or Kubernetes
  • Knowledge of microservices architecture
  • Exposure to infrastructure‑as‑code tools (Terraform, CloudFormation)

Responsibilities

  • Build and maintain backend services using Python (FastAPI, Django) or Node.js
  • Develop robust RESTful APIs and integrate with internal/external systems
  • Improve performance, reliability, and scalability of backend services
  • Build intuitive, responsive UIs using React or similar frameworks
  • Work closely with design and product teams to bring user experiences to life
  • Write efficient SQL queries and manage relational databases
  • Support schema design, data modeling, and performance tuning
  • Deploy and manage applications in cloud environments (AWS, Azure, or GCP)
  • Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, etc.)
  • Use Atlassian tools (Jira, Bitbucket, Confluence) for workflow and documentation
  • Participate in code reviews, sprint planning, and architecture discussions
  • Work cross‑functionally with product, design, and QA
  • Troubleshoot production issues and contribute to continuous improvement
  • Lead medium sized data science projects.
  • Oversee data science standards and documentation.
  • Mentor junior team members.
  • Collaborate with other departments.

Benefits

  • bonus
  • health insurance
  • dental insurance
  • vision insurance
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service