Staff Platform Engineer (compute Infrastructure)

Staff Platform Engineer (Compute Infrastructure)

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFR _CT Analysis—provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFR _CT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 400,000 patients worldwide.

Heartflow is transforming cardiovascular care with cutting-edge, non-invasive technology. We are launching a massive Platform Modernization initiative to power the next generation of our life-saving medical products.

We're looking for an experienced Kubernetes Engineer to join our team and lead the design, implementation, and scaling of our Kubernetes infrastructure from the ground up. If you're passionate about container orchestration, cloud-native technologies, and building highly reliable, scalable systems, this is the perfect opportunity for you!

Job Responsibilities

As our Compute Infrastructure Engineer, you'll be the primary expert responsible for our entire Kubernetes ecosystem. Your key responsibilities will include:

• Architect and implement a robust, highly available, and secure Kubernetes cluster from scratch, considering best practices for networking, storage, and security.
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform and configuration management like Helm to automate cluster provisioning, configuration, and maintenance.
• Own the day-to-day management, monitoring, troubleshooting, and optimization of the cluster(s) across different environments (Dev, Staging, Prod).
• Implement strategies for horizontal and vertical scaling of the cluster components and hosted applications to handle varying loads and ensure optimal performance.
• Architect and implement on-demand ephemeral environments for Dev/QA, ensuring efficient resource consumption and multi-tenant isolation.
• Enforce security policies, manage RBAC, implement network policies, and ensure compliance with industry standards.
• Continuously analyze cluster resource utilization, identify areas for cost savings, and implement strategies to reduce cloud expenditure while maintaining performance.

Required Qualifications

• 8+ years of experience in Infrastructure Engineering roles.
• 5+ years of hands-on, production-level experience designing, deploying, and managing Kubernetes clusters using EKS at scale.
• Deep understanding of the Kubernetes ecosystem, including core components, Networking, and Storage.
• Proven expertise in implementing ephemeral environments for secure, cost-controlled, multi-tenant workloads.
• Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform.
• Strong experience with AWS.
• Solid experience implementing and managing cluster-level observability and analytics.
• Demonstrated ability to troubleshoot complex performance and stability issues within a distributed system.

Nice-to-Have

• Experience implementing Service Mesh technologies (e.g., Istio, Linkerd).
• Familiarity with GitOps principles and tools (e.g., ArgoCD, Flux).
• Prior experience with setting up and maintaining managed databases within or connected to K8s.
• Certifications such as CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer).
• Solid experience with monitoring and logging solutions (e.g., Datadog).

A reasonable estimate of the base salary compensation range is $185,750 to $250,922, cash bonus, and equity.