ABOUT US:

Monarch is a powerful, all-in-one personal finance platform designed to help make the complexity of finances feel simple again. Since launching in 2021, we’ve become the top-recommended personal finance app by users and experts. Our goal? To take the stress out of finances so our members can focus on what truly matters.
We are a team of do-ers led by experienced entrepreneurs who are passionate about helping our members reach their financial goals. We are hyper focused on building a product people love and continuing to evolve based on user feedback.
As a fully remote company (even before COVID!), we welcome applicants from almost anywhere. Our team collaborates synchronously mostly from 9 AM – 2 PM PT and embraces asynchronous work to stay connected across time zones.
Join us on our mission to transform lives by simplifying money, together.

THE ROLE:

Monarch is seeking a Infrastructure Engineer with a focus in Machine Learning (ML Ops) to join our Infrastructure and Platform Engineering team during a period of hyper-growth. Reporting directly to the Head of Software Infrastructure, you will design, build, and maintain the infrastructure that powers our machine learning and AI workloads. You’ll play a critical role in enabling our ML engineers to train, deploy, and monitor models at scale, while ensuring our infrastructure is secure, cost-effective, and optimized for performance.
This is a hands-on role where you’ll contribute to both the evolution of our ML infrastructure and the implementation of new AI capabilities, directly shaping how Monarch leverages machine learning to deliver exceptional customer experiences.

WHAT YOU’LL DO:

• Maintain, improve, and scale cloud infrastructure that supports both traditional applications and ML/AI workloads.
• Partner with ML engineers to design and deploy specialized resources for model training, inference, and data pipelines.
• Implement automated infrastructure solutions using Terraform/OpenTofu to accelerate environment provisioning and resource management.
• Introduce and integrate modern AI infrastructure capabilities, including vector databases, model observability tools, and GPU/accelerator workloads.
• Provide technical guidance on ML workload architecture, security, and performance optimization, aligning with Monarch’s culture of continuous improvement.