Senior Backend Engineer

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About Plenful

Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Bessemer Venture Partners, Notable Capital, TQ Ventures, Susa / Kivu Ventures, and other leading investors, we’re building the category-defining AI agentic operating platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in-need patient populations.

Built by healthcare operators for healthcare operators, Plenful is driven by a deep understanding of the challenges facing today’s care teams. We’re passionate about equipping healthcare workers with world-class tools that deliver real, measurable impact, and we’re proud to serve leading healthcare organizations across the country. If you’re excited to help shape the future of healthcare, we’d love to meet you. Apply now to join our growing team.

About the role

We’re looking for a Senior Backend Engineer to design and build systems that power our distributed computing, data workflows, and core infrastructure. You’ll take ownership of major backend components, contribute to database and orchestration architecture, and collaborate closely with our DevOps and ML teams. This role is ideal for an experienced engineer who loves solving complex technical problems, improving system reliability, and contributing to the evolution of a high-performing backend platform.

What you’ll do

Core Infrastructure & Workflow Orchestration

• Contribute to the design and evolution of our workflow orchestration system that runs across serverless and containerized environments, processing millions of tasks each month.
• Implement scheduling, queuing, rate limiting, and retry logic for reliable and fair resource allocation.
• Build components for state tracking, error handling, timeouts, and cleanup across distributed tasks.
• Collaborate with DevOps to enhance observability, structured logging, tracing, and deployment automation.
• Design and optimize schemas for scalable and flexible data storage.
• Improve query performance and efficiency across large datasets through indexing, caching, and connection pooling.
• Ensure data integrity, concurrency control, and compliance with data governance standards.
• Support replication, backups, and disaster recovery efforts in partnership with DevOps.

External Integrations & Data Pipelines

Technical Impact & Collaboration

What we’re looking for

Seniority level

Employment type

Job function

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