Senior DevOps Engineer

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.

We’re hiring a Senior Dev Ops Engineer to join our engineering team at Plenful and help build and scale the infrastructure, tooling, and deployment systems that power our product and engineering velocity. You’ll work across our distributed workflow engine, serverless pipelines, containerized services, and Postgres‑based data layer.

This role reports into engineering leadership and will play a key role in shaping how we build, deploy, and operate our platform as we continue to grow. You’ll focus on creating systems and workflows that enable engineers to move quickly and safely, while ensuring our platform remains reliable, observable, and efficient.

You’ll bring strong technical judgment, a pragmatic approach to automation, and a focus on reducing friction for other engineers. You’ll collaborate closely with backend and ML teams and help shape a culture where infrastructure, reliability, and developer experience are clear, repeatable, and shared across the team.

• Design, build, and evolve our cloud infrastructure using infrastructure‑as‑code, with a focus on scalability, consistency, and ease of use.
• Build and maintain CI/CD pipelines that enable fast, safe, and repeatable deployments across our services.
• Standardize deployment patterns across serverless workloads, containerized services, and workflow orchestration systems.
• Improve how services are provisioned, configured, and deployed so engineers can move quickly without introducing risk.

• Develop internal tooling and automation to simplify common workflows across backend and ML teams.
• Improve local and staging environments to reduce friction in development and testing.
• Enable engineers to self‑serve infrastructure through well‑designed abstractions, templates, and documentation.
• Identify and eliminate bottlenecks in the development and deployment lifecycle.

• Define and evolve observability standards across metrics, logs, and tracing with a focus on actionable insights and system behavior.
• Build systems that proactively detect reliability risks, latency regressions, and performance issues.
• Partner with engineering teams to investigate and resolve performance bottlenecks across distributed systems, including serverless execution, containers, and Postgres.
• Support incident response and contribute to root cause analysis, with a focus on preventing recurrence through better systems and automation.

• Automate security and compliance workflows, including…