Heidi
Healthcare
SeniorApplicationDatabaseEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Application Database Engineer at Heidi. Skills: MongoDB Atlas, Terraform, Python, Database architecture. Own MongoDB Atlas cluster configuration. Lead schema and data model design”
Industry & Context.
Detect and remediate infrastructure state drift
What They're Looking For.
Must Have
5+ years of experience with MongoDB in production, ability to design schemas around application access patterns, Deep understanding of indexing, query planning, aggregation pipelines, and MongoDB operational fundamentals, Solid experience with Amazon RDS or other relational databases, SQL skills, Proficiency in Python for scripting, automation, and data migration tooling, Experience planning or executing database migrations, Proficiency with Terraform for managing cloud database infrastructure, Hands-on experience with AWS and Azure networking, Comfort operating with high autonomy in a fast-moving environment, written communication and documentation habits
Nice to Have
Experience with Atlas Terraform provider, Familiarity with OIDC and workforce identity federation in Atlas, Background in multi-region data architecture, Experience in healthcare or regulated industries
What You'll Do.
Own MongoDB Atlas cluster configuration
Lead schema and data model design
Evaluate and plan database technology decisions
Design and execute data migrations
Manage Atlas infrastructure through Terraform
Design and maintain OIDC authentication
Own database user management
Detect and remediate infrastructure state drift
Monitor database performance
Partner with backend engineers
Establish runbooks for operational tasks
How You'll Work.
Team & Collaboration
Partner with backend engineers on schema design
Communication Scope
written communication
Full Job Description
WHO WE ARE Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible. We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients. In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide. Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health. ABOUT THE ROLE You will be the dedicated owner of our database infrastructure as we scale globally. Today that means MongoDB Atlas. Tomorrow it may include relational workloads, vector databases, cross-database migrations, and multi-region data architecture decisions. This is a hands-on engineering role that sits at the intersection of schema design, query performance, infrastructure as code, and platform reliability. If you know how to design data models around access patterns, optimize for the queries that matter, and make principled decisions about when to use which database technology, you will thrive here. WHAT YOU WILL DO - Own MongoDB Atlas cluster configuration and management across production, staging, and development environments spanning multiple regions globally across AWS and Azure - Lead schema and data model design across services, making deliberate choices around embedding, referencing, denormalization, and aggregation patterns - Own index strategy, query performance analysis, and aggregation pipeline design across all collections - Evaluate and plan database technology decisions including when MongoDB is the right fit and when a relational store like Amazon RDS is more appropriate - De
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