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Senior Platform Engineer

Rezilient Health - United States - In-office - posted 2026-10-07

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Rezilient Health is redefining primary care through a CloudClinic model that combines virtual provider visits with cutting-edge technology to deliver personalized digital healthcare experiences. The company seeks a Senior Platform Engineer to own the reliability, scalability, and performance of systems powering care delivery. In this critical role, you will design and operate the infrastructure, observability, and automation that keep services fast, resilient, and secure. You'll work closely with Full-Stack, Front-End, Product, and Security teams to ensure that patients and clinical teams can depend on the platform every time they need it. Key responsibilities include: - Design, provision, and maintain cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation, or equivalent) across development, staging, and production environments with repeatable, auditable configuration. - Own and evolve CI/CD pipelines to enable safe, frequent deployments, including automated testing gates, blue/green and canary rollouts, and fast rollbacks. - Build and operate observability across the stack: metrics, logging, distributed tracing, dashboards, and alerting. Define SLOs, SLIs, and error budgets aligned with product priorities. - Lead incident response: participate in on-call rotation, triage, mitigate, communicate clearly, and conduct blameless postmortems that drive systemic fixes. - Automate operational toil through scripting and tooling to reduce manual intervention and improve mean time to detection and recovery. - Design for scalability and resilience: capacity planning, load and failure testing, autoscaling, redundancy, disaster recovery, and backup strategies with defined RTO/RPO targets. - Manage containerized workloads and orchestration (Docker, Kubernetes), including networking, service discovery, and resource management. - Partner with Security and Engineering to harden infrastructure: secrets management, network segmentation, encryption, vulnerability scanning, patching, and audit logging consistent with HIPAA requirements for handling PHI. - Collaborate with development teams to embed reliability and operability into services from design through production, balancing speed with safety. Requirements: - Bachelor's degree in computer science, software engineering, or related field, or equivalent hands-on experience. - 5+ years in Site Reliability, DevOps, or infrastructure engineering roles at startup or growth-stage organizations, ideally within healthcare, health tech, or another regulated, high-availability, data-sensitive industry. - Deep hands-on experience operating production systems on a major cloud platform (AWS, GCP, or Azure), including compute, networking, storage, and managed database services. - Strong proficiency with Infrastructure as Code (Terraform or equivalent) and configuration management. - Production experience with containerization and orchestration (Docker and Kubernetes), including deployment, scaling, and troubleshooting. - Expertise building CI/CD pipelines and release automation with a track record of enabling safe, frequent deployments. - Hands-on experience with observability and monitoring tooling (e.g., Datadog, Prometheus, Grafana, CloudWatch, ELK/OpenSearch) and defining SLOs, SLIs, and error budgets. - Strong scripting and automation skills (Python, Go, or Bash) and fluency with command-line and cloud CLIs. - Experience leading incident response and on-call, including postmortem and root-cause analysis practices. - Solid understanding of infrastructure and network security, secrets management, and encryption, with familiarity handling sensitive or protected data (PHI/HIPAA experience strongly preferred). - Proficient with Git and version control workflows; familiarity with Agile Development Framework and ideally Atlassian toolset (Jira and Confluence). - Excellent verbal and written communication skills; calm, methodical, and detail-oriented under pressure, comfortable owning ambiguity in an early-stage environment.

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