Senior Platform Engineer (Cloud Foundations)

Heartflow•San Francisco, CA

16h

About The Position

Heartflow is hiring a Senior Platform Engineer to help build a new AWS foundation and migrate existing applications onto it. The current applications use AWS Lambda and Fargate, along with RDS, API Gateway, and related services defined in AWS CDK. The engineer will join the Infrastructure Platform team, which owns cloud foundations, site reliability engineering, and developer experience. The first major project is migrating workloads to Kubernetes, with the role expanding over time across the team's broader areas of focus. The position includes translating existing CDK stacks into Terraform/Terragrunt, Helm, service templates, and developer portal integrations; supporting cross-account interoperability during migration; and creating automated approaches for event-driven workflows on Kubernetes. The engineer will work with application teams on migration planning, cutovers, tooling, and documentation, then benchmark services and verify their performance, observability, and service-level objectives. Ongoing work includes building and maintaining cloud foundations as code; contributing to SRE practices; improving developer experience through Harness pipelines, golden paths, and the Cortex service catalog; and producing standards, guardrails, and runbooks. The role supports Linux and Windows systems where needed, with automation preferred. The work supports products used in patient care, where reliability, security, and traceable change management matter.

Requirements

Several years of platform, infrastructure, SRE, or DevOps engineering experience, including at least one production workload migration to a new platform or architecture.
Strong working knowledge of Kubernetes on AWS (EKS), including networking, security, scaling, and day-two operations.
Solid AWS experience across compute services (Lambda, ECS, EKS), data services (RDS), API Gateway, VPC networking, and IAM.
Production experience with Terraform and comfort with Helm.
Scripting and automation skills in Bash, Python, or Go.
Hands-on experience with CI/CD systems and containers.
Clear written and verbal communication skills and a record of influencing technical decisions across teams.

Nice To Haves

Experience migrating Fargate or ECS workloads to Kubernetes; experience moving serverless applications to containers is also relevant.
Experience with AWS CDK, including reading and refactoring existing stacks.
Experience with KEDA or other event-driven scaling on Kubernetes.
Experience with Terragrunt, Harness, or an internal developer portal such as Cortex or Backstage.
Windows or Linux systems administration experience.
Experience in a regulated environment such as healthcare, finance, or medical devices, including change control and audit evidence.
Experience with monorepos.
Prior ownership of a multi-quarter technical initiative.

Responsibilities

Contribute migration patterns and reference implementations for moving CDK-based serverless applications to EKS, including cross-account interoperability during the migration period.
Translate existing CDK stacks into Terraform/Terragrunt, Helm, service templates, and developer portal integrations.
Develop robust, scalable, automated solutions for event-driven, serverless-like workflows on Kubernetes, potentially using KEDA or similar cloud-native tools.
Plan data-tier and API cutovers to reduce downtime and risk.
Work with application teams to understand workloads, sequence migrations, and provide tooling and documentation that enable teams to migrate independently.
Benchmark migrated services, tune resource requests and limits, and confirm observability and service-level objectives match or exceed prior levels.
Build and maintain cloud foundations—including account structure, networking, IAM, and shared services—as code.
Contribute to SRE practices such as SLOs, alerting, incident response, capacity and cost management, and an on-call rotation as the team matures.
Improve developer experience through Harness pipelines, golden paths, and the Cortex service catalog.
Write standards, guardrails, and runbooks for other teams.
Support Linux and Windows systems where required, preferring automation over manual work.