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# Platform Engineer

- **Company:** Rezilient Health
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Application Release Automation, Audit Trail, Automation of Tests, Microsoft Azure, Bash Shell, Command-Line Interface, Cloud Computing, Configuration Management, DevOps, Disaster Recovery, Python (Programming Language), Key Management, Network Security, Network Segmentation, Reliability Engineering, Prometheus, Service Discovery, Software Engineering, Datadog, Data Logging, Cloud Platform System, Autoscaling, Grafana, Cloudformation, Containerization, Kubernetes, Information Technology, Atlassian Tools, Front End Software Development, Cloudwatch, Terraform, Dynatrace, OpenSearch, Docker, Vulnerability Analysis
- **Published:** October 6, 2026
- **Apply:** https://startup.jobs/senior-platform-engineer-rezilient-health-10329212

## About the Role

* Bachelor's degree in computer science, software engineering, or a 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 the Agile Development Framework and ideally the Atlassian toolset (Jira and Confluence).
 * Excellent verbal and written communication skills; calm, methodical, and detail-oriented under pressure, and comfortable owning ambiguity in an early-stage environment.

## Description

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., * 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."