Senior Platform Engineer (Compute Migration)
San Francisco, United States · Hybrid · Full-time
- Posted 1mo ago
- From HeartFlow’s careers page
- Location
- San Francisco, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Experience
- 8+ years
- Department
- Software Development
Opens the listing on job-boards.greenhouse.io
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About the role
Job Responsibilities
We're looking for Senior Platform Engineer, specializing in Compute Migration, to lead the strategic effort to migrate all of our existing AWS Lambda and ECS-based workloads to our next-generation Kubernetes platform. This is a high-impact role where you will design, implement, and govern the transition of business-critical, event-based workflows, ensuring they are optimized for performance, cost, reliability, and security within our K8s environment.
This role requires deep expertise in both current (Lambda, ECS) and target (Kubernetes) compute architectures, as well as a strong focus on automation and developer experience.
- Define the technical roadmap, migration patterns, and reference architectures for moving Lambda functions and ECS services to our 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 utilizing technologies like KEDA or similar cloud-native tools.
- Use Terraform/Terragrunt and Helm to build and manage the necessary underlying Kubernetes infrastructure, networking, and deployment tooling.
- Partner closely with engineering teams to understand their unique workload requirements, provide consultation on re-platforming best practices, and develop standardized tools (e.g., CI/CD pipelines) for easy migration and deployment.
- Benchmark migrated services, optimize resource requests/limits, and implement advanced observability (monitoring, logging, tracing) solutions to ensure parity or improvement in service SLOs.
- Establish best practices, guardrails, and documentation for running event-based compute on Kubernetes to ensure a smooth transition and sustainable operation post-migration.
Required Qualifications
- 8+ years of experience in Platform, Infrastructure, or DevOps Engineering roles, with significant time spent on 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, and a clear understanding of their operational models and scaling behaviors.
- Proven experience migrating production workloads from traditional cloud compute (VMs, Lambdas, ECS) to Kubernetes.
- Strong background in Infrastructure as Code (IaC), specifically Terraform.
- Proficiency with containerization technologies (Docker) and modern CI/CD practices.
- Excellent communication, documentation, and technical leadership skills, with the ability to influence technical decisions across multiple teams.
Nice-to-Have
- Experience with KEDA or similar event-driven scaling solutions on Kubernetes.
- Experience working in and/or migrating to monorepo.
- Prior experience in driving complex, multi-quarter technical initiatives.
- Experience with Python or Go for tooling development and automation.
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About HeartFlow
AI analysis for coronary careHeartflow develops AI-based analysis of coronary CT angiograms to create 3D heart models and support personalized coronary artery disease care.
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