Develop and enhance features for the Collectly product in a secure, well-tested, and performant manner.
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Integrate Collectly with Electronic Health Records (EHR) systems.
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Build and maintain ETL data pipelines.
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Design scalable database schemas and optimize queries for PostgreSQL.
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Collaborate cross-functionally with Founders, Frontend, UX, and other core team members to deliver high-quality features in a fast-paced, iterative environment.
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Engage with customers to gather feedback, understand workflows, and ensure product improvements align with real-world needs.
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Conduct technical research on emerging tools, frameworks, and best practices to improve Collectly’s platform and guide architectural decisions.
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Solve complex technical problems while maintaining high standards for code quality, maintainability, and scalability.
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Participate in code reviews to uphold internal standards and mentor peers.
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Identify and address technical debt, proposing sustainable solutions to improve team efficiency.
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Represent Collectly and its values in customer interactions, external communications, and technical discussions around projects.
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Independently ship small and mid-sized features, while collaborating with the team on larger initiatives.
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This position leads integration efforts for Pre-visit Intake Automation, AI Eligibility and Benefits, and AI Cost Estimates products.
Requirements
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Associate’s degree in Software Engineering, or similar field, and 6 years of experience as a Web Developer or Python Developer.
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Knowledge of:
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PostgreSQL internals, autovacuum, and transaction isolation levels;
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Python internals, including details of data type implementation regarding memory management and performance optimization.
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Experience in:
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optimizing database queries using advanced PostgreSQL features;
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using CTEs, Window Functions, and complex data types in PostgreSQL;
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building containerized applications with Docker, writing multi-stage Dockerfiles, building cross-platform Docker images, and orchestrating multi-container environments;
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deploying scalable services using Kubernetes and AWS, managing EKS clusters, defining resources, configuring traffic routing, and implementing autoscaling;
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architecting CI/CD pipelines on GitLab;
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building complex data schemas and queries using SQLAlchemy while implementing polymorphic relationships and preventing N+1 problems;
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building RESTful web services using FastAPI and Flask, utilizing validation, async endpoints, and middleware;
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building dynamic JavaScript web applications using modern frameworks and integrating them with RESTful APIs;
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building and deploying web applications using C# and .NET Framework;
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complex ETL workflows using Celery Canvas primitives, while managing intermediate state and monitoring queue health; and
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Python asynchronous programming (asyncio, coroutines, and event loops).