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HeartFlow

Non-invasive cardiac imaging to guide treatment

Senior Platform Engineer - Compute Migration

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 8 years of experience in Platform, Infrastructure, or DevOps Engineering roles, including significant experience with large-scale compute migrations.
  • Expert-level proficiency in Kubernetes design, deployment, operations, networking, security, and scaling.
  • Deep hands-on experience with AWS compute services, particularly AWS Lambda and ECS/Fargate, including understanding of their operational models and scaling behaviors.
  • Proven experience migrating production workloads from traditional cloud compute, including virtual machines, Lambda, and ECS, to Kubernetes.
  • Strong background in Infrastructure as Code, specifically Terraform.
  • Proficiency with containerization technologies such as Docker and modern continuous integration and continuous delivery practices.
  • Excellent communication, documentation, and technical leadership skills, with the ability to influence technical decisions across multiple teams.

Responsibilities

  • Define the technical roadmap, migration patterns, and reference architectures for moving Lambda functions and ECS services to self-managed or managed Kubernetes clusters on AWS EKS.
  • Develop robust, scalable, and automated solutions for running event-driven, serverless-like workflows on Kubernetes, potentially using KEDA or similar cloud-native tools.
  • Use Terraform/Terragrunt and Helm to build and manage Kubernetes infrastructure, networking, and deployment tooling.
  • Partner with engineering teams to understand workload requirements, provide consultation on re-platforming best practices, and develop standardized tools such as continuous integration and continuous delivery pipelines for migration and deployment.
  • Benchmark migrated services, optimize resource requests and limits, and implement monitoring, logging, and tracing solutions to ensure parity or improvement in service-level objectives.
  • Establish best practices, guardrails, and documentation for running event-based compute on Kubernetes to support the transition and sustainable post-migration operation.

Desired Qualifications

  • Experience with KEDA or similar event-driven scaling solutions on Kubernetes.
  • Experience working in or migrating to a monorepo.
  • Prior experience driving complex, multi-quarter technical initiatives.
  • Experience with Python or Go for tooling development and automation.

About the Company

HeartFlow

Non-invasive cardiac imaging to guide treatment

HeartFlow provides a non-invasive cardiac test that helps doctors visualize a patient’s coronary arteries to diagnose and plan treatment for heart disease. It uses a proprietary set of analyses—FFRCT Analysis, RoadMap Analysis, Plaque Analysis, and HeartFlow Planner—to create a detailed, patient-specific visualization from imaging data, enabling clinicians to assess blood flow and plaque without surgery. This approach reduces the need for invasive procedures, lowers risk for patients, and can cut costs for healthcare providers. Compared with traditional methods, HeartFlow offers validated, FDA-cleared tools that integrate multiple analyses into one platform, giving physicians a clearer, data-driven basis for diagnosis and treatment decisions. The company’s goal is to improve cardiovascular care by making safer, more efficient diagnosis and treatment planning widely available in hospitals and clinics around the world.

Company size
501-1,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

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