Job DescriptionLocation- Hybrid; Hartford
$90-120k plus bonus
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
What You'll DoBackend & API Development- 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
Frontend Engineering- Build intuitive, responsive UIs using React or similar frameworks
- Work closely with design and product teams to bring user experiences to life
Data & Databases- Write efficient SQL queries and manage relational databases
- Support schema design, data modeling, and performance tuning
Cloud & DevOps- 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
Collaboration- 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
What We're Looking For- 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
Bonus Points- Experience with Docker or Kubernetes
- Knowledge of microservices architecture
- Exposure to infrastructure-as-code tools (Terraform, CloudFormation)
ResponsibilitiesLead medium sized data science projects. Oversee data science standards and documentation. Mentor junior team members. Collaborate with other departments.
Qualifications- Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.
