Senior Full-Stack Engineer

Description

• 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. FastAPI experience is preferred.
• Build, maintain, and optimize data pipelines and transformations for Snowflake or similar cloud data warehouses. Snowflake expertise is preferred.
• 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.
• Harden and productionize prototypes and tooling created by other teams so non-engineers can reliably use them.
• Drive code reviews, engineering standards, and technical documentation.
• 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. FastAPI is preferred but not required.
• Strong SQL skills and experience with cloud data warehouses; Snowflake is preferred but equivalent experience will be considered.
• 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.
• Experience with CI/CD tooling such as GitHub Actions.
• Strong communication skills - able to explain tradeoffs to both technical and non-technical stakeholders.
• 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.
• Experience working on small teams or early-stage environments where engineers wear many hats.

• 401(k) plan with company match up to 3.5% after one year.
• Paid Time Off, paid holidays, and additional PTO incentives through referral programs.
• Comprehensive medical, dental, vision, life, and disability insurance plans.
• Fully paid onsite gym with fitness classes and a basketball court.
• Relaxation room with zero-gravity massage chairs.
• Cafeteria with freshly made breakfast and lunch options.