Senior Backend Engineer
Senior Backend Engineer – Infrastructure
Remote, USA
About the Role
Join an innovative healthtech company at the intersection of healthcare and advanced technology. As a Senior Backend Engineer on the Infrastructure team, you’ll play a key role in developing next-generation data stores, data pipelines, and AI platforms. You’ll work closely with cross-functional teams—data, AI, product—to build and scale data-driven products with real-world impact.
You’ll be part of a passionate, mission-driven team committed to improving people’s health and wellbeing through technology. This is a unique opportunity to work on complex engineering challenges and shape the future of AI-powered healthcare solutions in a dynamic, fast-paced environment.
Key Responsibilities
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Data Pipeline Development: Build scalable, reliable data pipelines for ingesting, transforming, and storing both structured and unstructured data.
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Data Transformation & Processing: Develop microservices and scheduled jobs for complex data transformations, including production deployment and infrastructure setup.
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Core Platform Development: Create custom libraries and tools to enhance engineering and AI development productivity.
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Architecture & Execution: Drive key architecture decisions and execute on impactful engineering projects.
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Cross-Functional Collaboration: Partner with data platform, AI, infrastructure, analytics, and product teams to drive data strategies.
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Performance & Scalability: Monitor and improve the performance, cost, and scalability of data and platform infrastructure.
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Code Quality & Best Practices: Deliver clean, maintainable, scalable code that aligns with modern development best practices.
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Perform additional duties as assigned.
Qualifications
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3+ years of backend engineering experience with a focus on data-intensive applications.
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Strong proficiency in SQL and data modeling for analytical use cases.
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Skilled in Python and/or Java for backend development and data processing.
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Experience with event-driven architectures (e.g., Kafka, SQS, Snowflake Stream, AWS Lambda) and microservices.
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Demonstrated success building scalable data pipelines and distributed systems.
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Comfortable working with AI and analytics teams to integrate data into products.
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Proven ability to participate in architecture planning and technical decision-making.
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Strong troubleshooting and problem-solving capabilities.
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Excellent communication and collaboration skills.
Preferred Qualifications
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Experience with Snowflake or similar data warehouses (BigQuery, Redshift, Databricks).
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Familiarity with cloud infrastructure (AWS, Azure), Kubernetes, Airflow, and Git.
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Exposure to AI/ML workflows and data pipelines.
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Background in fast-paced startup environments.
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Interest in Generative AI and Prompt Engineering.
Location
This is a fully remote position open to candidates based in the United States.