Site Reliability Engineer

About Plenful Plenful is on a mission to move pharmacy forward through intelligent automation. We build AI-powered software that eliminates administrative burden, strengthens compliance, and unlocks revenue across critical pharmacy workflows, solving one of the biggest challenges in healthcare today: delayed patient care. Built by a passionate team of former healthcare operators and world-class AI technologists, Plenful combines deep domain expertise with enterprise-grade technology to automate complex workflows across intake authorization, 340B program optimization, and pharmacy revenue reconciliation. Our AI platform is trusted by 95+ leading healthcare organizations to power smarter, faster, and more resilient pharmacy operations. Backed by leading investors including Notable Capital, Bessemer Venture Partners, and TQ Ventures, Plenful is building the institutional memory for healthcare and powering the most complex, highest ROI healthcare workflows. We’re actively hiring as we continue to scale. About the role We’re hiring a Site Reliability Engineer (SRE) to ensure the reliability, performance, and scalability of Plenful’s production systems as we continue to grow. This role is centered on operating real systems at scale — not just building infrastructure, but deeply understanding how it behaves under load, fails in production, and recovers. You’ll define reliability standards, own production health, and build the feedback loops that make our systems more resilient over time. You’ll work closely with backend, data, and ML engineers to ensure our platform is highly available, measurable, and continuously improving. This includes everything from incident response and performance debugging to SLO design and system-level optimization. What You’ll Do Reliability Engineering & System Ownership Define and implement SLIs, SLOs, and error budgets across core services Own production system health, including uptime, latency, and availability targets Continuously improve system resilience through proactive reliability work Identify and mitigate single points of failure across distributed systems Production Operations & Incident Response Participate in and improve on-call rotations and incident response processes Lead incident triage, mitigation, and resolution in real time Conduct blameless postmortems and ensure follow-through on action items Build tooling and automation to reduce MTTR (Mean Time to Recovery) Observability & System Insight Design and evolve observability systems across: Metrics, logs, and distributed tracing (OpenTelemetry) Tooling including Datadog, CloudWatch, Grafana, Sentry Improve signal quality to reduce noise and alert fatigue Develop dashboards and alerts that reflect real system health and user impact Use observability data to drive performance and reliability improvements Performance & Scalability Analyze system performance under load and identify bottlenecks Optimize latency, throughput, and resource utilization across: Serverless systems (AWS Lambda) Containerized services (ECS) Data systems (Aurora Postgres, ClickHouse) Partner with engineering teams to improve system efficiency and scaling behavior Automation & Reliability Tooling Build automation to eliminate repetitive operational work Improve deployment safety through reliability checks and safeguards Contribute to CI/CD pipelines ( GitHub Actions ) with a focus on system stability Develop tools for: Incident response Debugging Capacity planning Security, Compliance & Operational Maturity Partner with security and compliance to ensure systems meet operational standards Support audit readiness and reliability-related compliance requirements ( Vanta ) Integrate monitoring and alerting into security and SIEM workflows Help mature operational practices across the engineering team Environment & Technical Context You’ll work across a modern distributed stack: Cloud: AWS (ECS, Lambda, RDS Aurora Postgres, CloudWatch) Infrastructure: Terraform, Ansible, Lin