• Architect and develop backend services while contributing to frontend development • Own key technical decisions and establish coding standards • Mentor team members as it grows • Collaborate on building a transformative software solution for healthcare

• Independently architect and implement bi-directional data integrations between SchooLinks and external platforms — starting with Slate (Technolutions) • Design, build, test, and document RESTful API connections, webhooks, and OAuth/SSO flows to support secure, real-time data exchange — taking full ownership of each integration from technical spec through production deploy. You’ll build using Python code running in our Django service and Lambdas on AWS. • Design ETL pipelines to map and transform student data across different schemas, handling edge cases, conflict resolution, and idempotency. • Set up monitoring, alerting, and observability for every integration in production — then own ongoing maintenance, incident response, and iterative improvements as partner systems evolve • Write the foundational documentation for this function — technical specs, API references, runbooks, and integration guides establishing the standard that future engineers will build on

• Design, code, test, and debug applications using modern programming practices. • Collaborate with senior developers and technical teams to support software development initiatives. • Learn and apply tools and technologies, including AI tools, Git, version control, JSON, and testing tools. • Assist in maintaining code documentation and version control processes. • Support Agile development practices and participate in sprint planning and reviews. • Engage in problem-solving and troubleshooting for development challenges. • Contribute to team objectives and take on additional responsibilities as needed.

Role Description We are seeking a highly skilled and hands-on Senior Software & Integrations Engineer to build and scale our core insurance technology stack. In this critical individual contributor role, you will be a primary developer of our policy life cycle management system and an architect of our agentic AI workflows and data pipelines that connect our broader ecosystem. The ideal candidate brings deep technical expertise in API integrations, LLMs, backend development, and Property & Casualty (P&C) insurance systems, combined with a passion for building next-generation insurance AI infrastructure. - Underwriting Platform Development: Serve as a core engineer for our underwriting platform (Federato), directly configuring the environment, writing complex business logic, and optimizing workflows for our underwriting teams. - Core Systems Integration: Architect and build robust, fault-tolerant data pipelines, REST APIs, and webhook ecosystems connecting the underwriting workbench with internal data lakes, downstream financial systems, and third-party data enrichment providers. - Hands-On Development: Write clean, production-level code in TypeScript/Node.js, Python, Java, and SQL, and manage complex JSON data structures to ensure seamless system communication. - Agentic Workflow Engineering: Design, deploy, and scale the multi-agent workflows that power our autonomous decision engine. You will integrate LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex) to automate complex underwriting reasoning, from unstructured document extraction to nuanced risk evaluation. - AI-to-Human Handoff Optimization: Build seamless "human-in-the-loop" pathways. Ensure that when our autonomous agents encounter complex edge cases or require underwriter intuition, the AI's reasoning, extracted data, and confidence scores are cleanly and contextually presented within the workbench. - Cross-Functional Collaboration: Partner directly with the CTO, product owners, and underwriting leaders to translate complex insurance domain requirements into elegant, scalable technical solutions. - System Optimization & Debugging: Perform root cause analysis on integration bottlenecks, optimize database query performance, and ensure highly reliable data synchronization across the MGA ecosystem. Qualifications - 5+ years of experience in full-stack software engineering, backend development, or data engineering as an individual contributor. - Strong professional experience in TypeScript and/or Python, particularly for backend development and data integration. - 3+ years of experience in Property & Casualty (P&C) insurance, with a solid understanding of the policy lifecycle (rating, quoting, binding, issuance). - Direct, hands-on experience configuring, implementing, or deeply integrating with modern Insurance SaaS underwriting workbenches or AI-Native PAS platforms (e.g., Socotra, Guidewire, Duck Creek, Britecore, and Origami, but direct experience with Federato is a significant advantage). - Strong expertise in building RESTful APIs, handling complex webhooks, and managing deep JSON-based data exchange and schema mapping across disparate systems. - Familiarity with modern data stacks (e.g., Snowflake, dbt, Airflow) and complex ETL/ELT pipelines. - Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience). Requirements - Hands-on experience deploying and managing applications on modern cloud platforms (AWS, GCP, or Azure) and using CI/CD tools (GitHub Actions, Jenkins). - Experience or interest in Large Language Models (LLMs), RAG architectures, and frameworks like LangChain to develop our agentic AI workflows. - Experience with modular, microservice-based architectures and containerization (Docker, Kubernetes). - Proven track record of thriving in a fast-paced startup or scale-up environment, taking ownership of complex integration projects. Knowledge, Skills, and Abilities - Outstanding ability to map complex, abstract business logic to structured database schemas. - Strong communication skills, with the ability to discuss system architecture and integration challenges clearly with both technical peers and underwriting stakeholders. - Relentless problem-solving skills and the ability to debug complex, multi-system integration failures. - Strong time management and prioritization skills to manage multiple critical-path engineering tasks simultaneously. Company Description Comeryx is the first AI-native Managing General Agent (MGA) purpose-built for small-business artisan contractors as its initial market. Backed by a recent $7.5M funding round, we are transforming the Excess & Surplus (E&S) insurance landscape by addressing a critical structural paradox: the high friction and economic inefficiency inherent in manually underwriting complex small-business risks. We are not a legacy system with AI features bolted on - we are AI-native by design. Our platform replaces manual underwriting bottlenecks with an autonomous decision engine, leveraging proprietary Agentic AI workflows to handle document ingestion, reasoning, and the entire lifecycle from quote to issuance. By combining digital speed with traditional E&S underwriting rigor, we enable wholesalers to quote, bind, and issue coverage in minutes, not days. At Comeryx, we don't just automate; we engineer intelligent decision-making.