
201 - 500 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
☁️ SaaS
Healthcare Insurance • Artificial Intelligence • SaaS
Petal is a company that provides a data-driven, secure cloud platform for healthcare organizations, designed to orchestrate patient care delivery workflows in real-time. They offer solutions for capacity management, workforce scheduling, care coordination, and secure messaging among other services. Petal focuses on interoperability, artificial intelligence, and cloud computing to enhance healthcare access worldwide, serving over 200 facilities globally. Their services help healthcare professionals in patient self-scheduling, immunizations, and reducing patient complaints significantly.
🕒 June 15
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201 - 500 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
☁️ SaaS
Healthcare Insurance • Artificial Intelligence • SaaS
Petal is a company that provides a data-driven, secure cloud platform for healthcare organizations, designed to orchestrate patient care delivery workflows in real-time. They offer solutions for capacity management, workforce scheduling, care coordination, and secure messaging among other services. Petal focuses on interoperability, artificial intelligence, and cloud computing to enhance healthcare access worldwide, serving over 200 facilities globally. Their services help healthcare professionals in patient self-scheduling, immunizations, and reducing patient complaints significantly.
• Build and maintain cloud infrastructure using Terraform, OpenTofu, or similar Infrastructure as Code tools • Help operate Kubernetes environments on Azure, including deployments, Helm releases, secure traffic routing, certificates, and cluster configuration • Improve CI/CD pipelines and deployment automation so product teams can ship with more speed and less risk • Contribute to Petal’s internal developer platform, including golden paths, self-service templates, and tooling that makes infrastructure easier for product teams to use • Support observability, alerting, and incident response for shared services • Strengthen security patterns across identity, access control, secrets, private networking, and vulnerability scanning • Write and maintain practical runbooks and operational guides that other engineers can actually use • Participate in design discussions, flag operational risks early, and give useful feedback in code and infrastructure reviews
• Practical cloud experience with at least one major cloud provider such as Azure, AWS, or GCP • Worked with core cloud concepts such as compute, networking, storage, identity, and secrets • Hands-on experience with Terraform, OpenTofu, or a comparable Infrastructure as Code tool • Working knowledge of Kubernetes, including deployments, services, namespaces, and basic production troubleshooting • Comfortable building or maintaining CI/CD pipelines, deployment workflows, or automation scripts • Understand observability basics: metrics, logs, traces, alerting, and how to investigate what is broken • Communicate clearly, share blockers early, and stay focused when things get complicated • Resourceful and curious • If experience is in AWS or GCP, or if you have used similar technologies, we still want to hear from you
• 4 to 6 weeks of paid vacation per year • 5 paid personal days per year • A group RRSP / DPSP plan with employer contribution • A complete group insurance plan, from day 1 • An annual wellness allowance • Access to the Lumino Health™ telehealth application • Recurring remote/hybrid work allowance
Apply Now🕒 June 14
201 - 500
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