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Senior Full-Stack Engineering

$140k - $180k

Elite Insurance Partners

Senior Full-Stack Engineer

We do not sponsor visas.

Our mission focuses on automation, AI-assisted self-education and self-enrollment, and modern engineering practices that let teams move quickly and securely. You will join a small, high-trust engineering team and play a direct role in shaping architecture, data strategy, and integrations that power our business. Lead full ownership of complex full-stack projects from scoping and architecture through production and monitoring.

Design and implement user-facing applications using React for the frontend and Python backend services. Build, maintain, and optimize data pipelines and transformations for Snowflake or similar cloud data warehouses. Architect and implement integrations between internal systems and third-party platforms. Experience with MuleSoft is preferred, but strong experience with other integration platforms or custom API integration work is acceptable.

Deploy and operate containerized services on AWS (ECS, ECR) and manage related CI/CD pipelines, primarily with GitHub Actions.

Mentor other engineers, provide technical leadership, and raise engineering quality across the team.

Ensure engineering work meets data sensitivity and compliance needs common to the insurance and financial services industries.

5+ years of professional software engineering experience.

  • Strong programming skills in Python, JavaScript, and SQL. These language skills are required.
  • Proven track record of owning projects end-to-end with minimal direction.
  • Experience building production web applications with React and a Python backend. Strong SQL skills and experience with cloud data warehouses; Experience with integration work - MuleSoft is preferred but experience with other integration platforms or custom API integration is acceptable.
  • Practical experience deploying and operating services on AWS, especially container services such as ECS/ECR.
  • Comfort working in a regulated environment with attention to data sensitivity and compliance.

Background in data engineering or analytics engineering.

Experience with voice or conversational AI tools.

Infrastructure as Code experience such as Terraform, and familiarity with observability/monitoring best practices.

Paid Time Off, paid holidays, and additional PTO incentives through referral programs.

  • Comprehensive medical, dental, vision, life, and disability insurance plans.
Vacancy posted 2 days ago
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