Company Overview: Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers. Role Description The Senior Backend Engineer will lead the design and implementation of high-scale, serverless backend services using AWS, Python, Relational and NoSQL database, and modern architectural designs. You’ll own systems end-to-end, from design, development, and testing, through deployment, monitoring, and ongoing improvements. You will collaborate with engineering, analytics, product, and operations teams to build data pipelines, APIs, event-driven workflows, and durable processing engines that are foundational to delivering an exceptional, predictable healthcare experience. This role owns services end-to-end—from architecture and implementation through deployment, monitoring, and continuous improvement—ensuring reliability, performance, and security for mission-critical healthcare workflows. Responsibilities Architecture and System Design • Design and build large-scale, resilient, serverless systems using AWS Lambda, API Gateway, SQS, SNS, DynamoDB, Step Functions, EventBridge, and Kafka. • Architect durable, fault-tolerant workflows for claims processing, episode generation, eligibility updates, communication engines, and other core healthcare processes. • Create and evolve backend APIs for both B2C (member portal) and B2B (payer, employer, provider) integrations. Engineering and Implementation • Develop high-quality backend services in Python, following strict test-driven development (TDD) practices. • Build clean, well-structured codebases emphasizing maintainability, testability, reliability, and scalability. • Implement secure data flows and storage patterns aligned with HIPAA and healthcare compliance best practices. Data and Healthcare Standards • Work with structured and semi-structured healthcare data (for example, eligibility, claims, and clinical data). • Partner with Analytics and Data Engineering to ensure data accuracy, consistency, and fidelity. Operational Excellence • Own systems end to end: development, testing, deployment, monitoring, and iteration. • Build and maintain CI/CD pipelines, infrastructure-as-code, and observability dashboards. • Continuously improve reliability through canaries, alarms, automated rollback, and well-designed SLOs. Collaboration and Leadership • Drive cross-functional architectural discussions and propose scalable, long-term solutions. • Mentor and hire engineers, raising the bar for engineering culture, coding standards, and system design thinking. • Work closely with product to refine requirements, define technical specs, and deliver high-value features. Qualifications • 7+ years of backend engineering experience, with a proven track record of shipping and operating production-grade systems. • Expert-level proficiency in AWS serverless, including Lambda, DynamoDB, API Gateway, Step Functions, Kafka/SQS, and event-driven architectures. • Strong Python engineering fundamentals, including TDD, dependency injection, modular code, and clean design patterns. • Deep understanding of high-scale system design, distributed computing, data modeling, fault tolerance, and observability. • Experience building B2C and B2B systems that serve thousands of users and millions of transactions. • Proficiency with PostgreSQL, DynamoDB, RDS, Kafka, caching strategies, and database schema design. • Strong experience building scalable, public-facing RESTful APIs. • Strong ownership mindset and a passion for delivering high-quality, reliable systems from design to production. • Experience collaborating with SecOps, DevOps, and analytics teams, with comfort using GitHub Actions, IaC, and automated pipelines. • Excellent verbal and written communication skills and cross-functional collaboration abilities. • Bonus: Experience with healthcare EDI standards (837/834), payer systems, claims processing, HIPAA compliance, or health-tech domain work.