Senior Platform Engineer

At Rezilient, we’re redefining primary care by making access to healthcare more convenient, timely, and seamless. Our innovative CloudClinic model combines virtual provider visits with cutting-edge technology to create a personalized digital healthcare experience that puts patients at the center of their care. By streamlining care delivery and continuously expanding specialty services, we empower our care team to focus on patient well-being while providing the most comprehensive and accessible care possible. We're seeking a Senior Platform Engineer to own the reliability, scalability, and performance of the systems that power Rezilient's care delivery. In a healthcare environment, uptime is not a convenience, it's patient care in progress, so this role is critical to ensuring that patients and clinical teams can depend on our platform every time they need it. You'll design and operate the infrastructure, observability, and automation that keep our services fast, resilient, and secure, while partnering closely with Full-Stack, Front-End, Product, and Security teams. You'll define reliability standards, drive down operational toil through automation, and build the tooling and practices that let a fast-moving engineering team ship confidently without compromising availability or the security of protected health information (PHI). Your work will directly shape how dependably patients receive care and how our providers deliver it, advancing our mission to make humane healthcare truly abundant. Key Responsibilities Design, provision, and maintain cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation, or equivalent), managing environments across development, staging, and production 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, reliable rollbacks. Build and operate observability across the stack, including metrics, logging, distributed tracing, dashboards, and alerting, and define SLOs, SLIs, and error budgets that align reliability work with product priorities. Lead incident response: on-call rotation participation, triage, mitigation, and clear communication, followed by blameless postmortems that turn failures into systemic fixes. Automate away operational toil through scripting and tooling, reducing manual intervention and improving mean time to detection and recovery. Design for scalability and resilience, including capacity planning, load and failure testing, autoscaling, redundancy, and 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-aligned requirements for handling PHI. Collaborate with development teams to embed reliability and operability into services from design through production, balancing "move fast" with "do no harm."