Summary

Job Description

• Execute full-stack engineering tasks utilizing Python (RESTful APIs using Flask and FastAPI with extensive use of SQLAlchemy and Pydantic), React and TypeScript.

• Design and build proprietary solutions involving insurance pricing algorithms, modeling, and data visualizations.

• Partner with product management to convert business needs into secure, high-quality production features, applying professional judgment to choose appropriate tools and architectural patterns.

• Manage the full development lifecycle: analyze requirements, architect solutions, conduct spikes, develop PoCs, and deploy scalable, thoroughly tested production code.

• Maintain and refine existing applications to ensure consistent alignment with established SLOs.

• Participate in agile ceremonies, contribute to RFC/ADR documentation, and perform peer code reviews to maintain high engineering standards.

• Enhance observability and reliability of applications/components by implementing logging, metrics, tracing, dashboards, and alerting that support incident triage, root0cause analysis, and continuous improvement.

• Full-stack development: Hands-on experience in building and deploying end-to-end web applications, utilizing modern frontend tools like React and TypeScript, combined with Python-based backend APIs and major cloud infrastructures (AWS, GCP, or Azure).

• 4+ years of relevant professional experience in software development.

• Experience with some of the following: FastAPI, SQLAlchemy, Pydantic, Celery.

• Practical experience with containerization and orchestration (Docker, Kubernetes) and familiarity with CI/CD and DevOps practices and tools (Github Actions, Git-based workflows).

• Strong foundation in Algorithms, Data Structures, and performance optimization techniques for scalable applications.

• Experience with relational databases (like Postgres) and familiarity with NoSQL databases (like Redis) is an advantage.

• Proactive mindset for learning new technologies, robust work ethic, commitment to resolving technical challenges, and responsibility.

• Excellent communication skills with the ability to articulate technical concepts.

• Exposure to Large Language Models (LLMs) and AI development tools (Claude, Copilot).

• Data engineering background or interest, familiarity with NumPy, pandas, Polars is a plus.

• Experience with Tanstack, React Hook Form, Vite is a plus.