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About the Role

Join our dynamic Infrastructure Platform team and help us drive a critical initiative to ensure our modernized Kubernetes workflows and large-scale data systems are as cost-effective as they are powerful. This role requires deep expertise in backend software engineering, cloud financial modeling, containerized compute architecture, and object storage paradigms.

Responsibilities

Lead the programmatic effort of managing, forecasting, and radically reducing cloud spend.
Drive compute cost strategy during migration to Kubernetes.
Architect the transition of massive data footprint from AWS S3 to highly efficient alternative storage providers.
Architect and execute the large-scale, high-throughput migration of petabytes of data from AWS S3 to lower-cost alternative storage providers.
Design, develop, and maintain robust, centralized client libraries (SDKs) to abstract the underlying storage infrastructure.
Partner closely with platform engineers to ensure reference architectures for moving legacy workloads to target EKS clusters are cost-optimized.
Benchmark migrated services, right-size resource requests/limits, and develop strategies for Reserved Instances (RIs), Savings Plans, and Spot Instance utilization.
Develop, maintain, and refine sophisticated programmatic cloud capacity and spend models.
Forecast future infrastructure costs based on Kubernetes migration roadmap, storage migrations, and traffic patterns.
Write custom software, automation scripts, and Kubernetes operators (using Python, Go, etc.) to enforce automated cost-control guardrails, resource tagging, and intelligent scale-down/cleanup for non-production environments.
Manage guardrails via Infrastructure as Code (Terraform).
Implement and manage advanced cost observability telemetry.
Build transparent, granular chargeback reporting into internal developer platforms.

Requirements

8+ years of Software Engineering or Platform Engineering experience.
Proven track record of writing clean, scalable, and maintainable code in Python, Go, or Java.
Deep, hands-on experience with object storage APIs (AWS S3, Backblaze) and designing large-scale data transfer pipelines.
Proven experience building centralized client libraries, SDKs, or developer abstractions.
Experience building programmatic financial models, predicting cloud spend, and performing capacity planning for large-scale cloud migrations.
Ability to translate complex technical architecture changes into clear budgetary impacts.
Expert-level understanding of AWS billing, pricing models, enterprise discount programs, and scaling behaviors.
Strong hands-on understanding of Kubernetes (EKS) compute efficiency, alongside legacy services like Lambda and ECS.
Strong background using Terraform to deploy infrastructure and automations.
Excellent communication and technical leadership skills.
Ability to influence technical decisions across engineering, platform, and finance teams.

Skills

Python
Go
Java
AWS S3
Backblaze
Kubernetes
EKS
Lambda
ECS
Terraform
Infrastructure as Code (IaC)
Cloud Financial Modeling
Containerized Compute Architecture
Object Storage Paradigms
Programmatic Cloud Capacity and Spend Models
Cost Observability Telemetry
KubeCost
FinOps

Location

Hybrid

Work Type

Hybrid

Experience Level

Senior

Salary/Compensations

$180,000 to $215,000

Benefits

Bonus
Equity

About the Company

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 FFRCT 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 (FFRCT 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 750,000 patients worldwide.
Heartflow is that rare company where massive commercial success meets deep clinical impact.
We already have high-revenue, production-grade AI products backed by 15 years of rigorous research.
We are leveraging our deep foundational AI expertise to add serious fuel to our high-growth fire.
We are assembling a brand-new, dedicated team to pioneer production-grade Agentic AI systems within healthcare, fundamentally redefining clinical workflows and physician decision-making from the ground up.

Equal Opportunity

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.