Senior Platform Engineer, HeartFlow

• Are you a seasoned platform engineer passionate about cloud-native technologies and large-scale migrations? Do you thrive on solving complex compute challenges by leveraging the power of Kubernetes?
• 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
• 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

Desirable

• 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
• 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