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As our Senior Python Engineer, you will be a key founding team member shaping how we architect and build the next generation of backend services for insurance. You’ll have autonomy to make critical technical decisions that directly influence our products and the future direction of Stitch Studio. You’ll work closely with our founder/CEO and cross-functional teams to design, scale, and optimize Python-based microservices and APIs that form the backbone of our platform.
Architect & Develop: Lead the design and development of scalable Python microservices and APIs (REST/GraphQL) that power our no-code insurance workflows and platform capabilities.
Own the Core Tech Stack: Drive architectural decisions around data ingestion, service-to-service communication, integrations with external APIs, and secure single-tenant deployments.
Service Integrations (AI optional): Collaborate with specialists to integrate features—such as domain-aware chat, knowledge extraction, or underwriting rules—as service integrations into stable, auditable, production-grade Python applications (no model training required).
Performance & Scalability: Optimize backend systems for low-latency data access, high throughput, reliability, and secure data governance, ensuring we can confidently handle complex insurance use cases.
Infrastructure & Deployment: Refine CI/CD pipelines, container orchestration (Docker, Kubernetes), and cloud infrastructure (AWS, Azure, or GCP) for dependable, repeatable deployments.
Security & Compliance: Partner with compliance to ensure best practices around data privacy, encryption, auditing, and regulatory requirements (e.g., SOC 2).
Cross-Functional Collaboration: Partner with product managers, solution engineers, and (where relevant) data/AI teams to deliver features that create tangible value in underwriting, claims, and policy servicing.
Mentorship & Leadership: Provide technical guidance to junior and mid-level engineers, fostering a culture of growth, innovation, and best practices in software engineering
Extensive Python Expertise: 5+ years writing production-grade Python with frameworks like FastAPI, Flask, or Django.
Architectural Vision: Proven track record designing robust, scalable, distributed systems (microservices, API gateways, service meshes, rate limiting, caching). You’ve handled complex data flows, 3rd-party integrations, and security.
Cloud & DevOps Skills: Experience with AWS/Azure/GCP; comfort with Docker/Kubernetes and CI/CD. Familiarity with observability (logging, metrics, tracing) is a plus.
Database Proficiency: Strong knowledge of SQL and NoSQL; familiarity with search engines or vector databases (e.g., Elasticsearch, Pinecone) is a plus.
AI/ML Integration (Nice to Have): Experience integrating AI/ML services or LLM APIs into applications as decoupled microservices or via well-defined interfaces.
Security Mindset: Awareness of security best practices, single-tenant architectures, authentication/authorization protocols, and data encryption.
Domain Interest: Excitement about transforming a regulated industry like insurance. Prior BFSI experience is a bonus, not a requirement.
Startup DNA: Comfortable with ambiguity and rapid iteration. Hands-on problem solver who thrives in a lean, fast-paced environment.
High Impact & Autonomy: Directly shape how our core platform and backend services are built, influencing key architectural decisions.
Cutting-Edge Technology: Work at the intersection of service-oriented architecture, data orchestration, integrations, and (optionally) AI-powered features delivered via clean service contracts.
Mission-Driven Environment: We’re committed to solutions that measurably improve insurance operations—without sacrificing security or data ownership.
Collaborative Culture: Join a tight-knit team that values innovation, learning, and transparent communication. We emphasize mentorship, idea-sharing, and continuous improvement.
Competitive Compensation & Equity: Share in our success through a combination of salary, benefits, and meaningful stock options.