Full Stack Software Engineer

Location: 100% Remote
Salary: $100,000–$140,000 base salary, based on experience and skills
Work authorization: US work authorization required. We do not sponsor visas.

Elite Insurance Partners is building a technology-first insurance organization focused on automation, modern software systems, AI-assisted workflows, and better digital experiences for customers and internal teams.

We are looking for a 100% remote Full Stack Software Engineer who can build reliable web applications, backend services, integrations, and internal tools using Python, React, JavaScript, and SQL. This role is a strong fit for someone who enjoys solving business problems, owning meaningful technical work, and working on a small team where engineers have real impact.

• →Build and improve internal and user-facing applications using React, Python, JavaScript, and SQL
• →Develop backend services, APIs, and integrations between internal systems and third-party platforms
• →Help deploy, operate, and improve cloud-based services in AWS
• →Work with data workflows, reporting needs, and cloud data warehouse tools such as Snowflake
• →Turn prototypes, automations, and internal tools into reliable production-ready applications
• →Partner with technical and non-technical teams to understand business needs and explain tradeoffs
• →Contribute to clean code, documentation, code reviews, and engineering best practices
• →Build with security, data sensitivity, and compliance in mind

• 3+ years of professional software engineering experience
• Strong experience with Python, JavaScript, and SQL
• Experience building production web applications
• Experience with React or a similar modern frontend framework
• Experience building APIs, backend services, or system integrations
• Practical experience with AWS or another cloud platform
• Familiarity with CI/CD tools such as GitHub Actions
• Strong communication skills and ability to work with both technical and non-technical stakeholders

• FastAPI experience
• Snowflake or cloud data warehouse experience
• MuleSoft or other integration platform experience
• Experience with AWS ECS, ECR, or containerized services
• Data engineering or analytics engineering experience
• Terraform, infrastructure-as-code, observability, or monitoring experience
• Experience with AI, voice AI, or conversational tools
• Experience working on a small team where engineers wear multiple hats