Senior Application Database Engineer

Heidi Health Pty Ltd

Job Overview

Location

Melbourne

Job Type

Full-time

Full Job Description

📋 Description

• We’re building the future of healthcare by giving every clinician the earth's finest AI Care Partner.
• In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits.
• Today, we support over 2.5 million patient sessions a week across 190+ countries.
• Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding.
• Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart.
• We found product-market fit with a freemium medical scribe that clinicians love.
• Now, we're expanding.
• Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.
• 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.
• You will be responsible for owning MongoDB Atlas cluster configuration and management across production, staging, and development environments spanning multiple regions globally across AWS and Azure.
• You will lead schema and data model design across services, making deliberate choices around embedding, referencing, denormalization, and aggregation patterns.
• You will own index strategy, query performance analysis, and aggregation pipeline design across all collections.
• You will evaluate and plan database technology decisions including when MongoDB is the right fit and when a relational store like Amazon RDS is more appropriate.
• You will design and execute data migrations between database systems as the platform evolves, writing Python tooling to support migration pipelines and data transformation.
• You will manage all Atlas infrastructure through Terraform including cluster sizing, compute auto-scaling, private endpoints, and access control.
• You will design and maintain OIDC authentication and workforce identity federation across Atlas projects.
• You will own database user management, credential rotation, and access control policies.
• You will detect and remediate infrastructure state drift between Terraform and Atlas configuration.
• You will monitor database performance, identify bottlenecks, and drive optimisation across replica sets and sharded clusters.
• You will partner with backend engineers on schema design, indexing strategies, and query performance.
• You will establish runbooks for operational tasks including failover, scaling events, and incident response.
• You will bring 5+ years of experience with MongoDB in production, including Atlas-managed clusters.
• You will have a strong ability to design schemas around application access patterns rather than relational conventions.
• You will have a deep understanding of indexing, query planning, aggregation pipelines, and MongoDB operational fundamentals.
• You will have solid experience with Amazon RDS or other relational databases, including schema design and query optimisation.
• You will have strong SQL skills including query optimisation, indexing, and schema design for relational workloads.
• You will have proficiency in Python for scripting, automation, and data migration tooling.
• You will have experience planning or executing database migrations across technology boundaries.
• You will have proficiency with Terraform for managing cloud database infrastructure.
• You will have hands-on experience with AWS and Azure networking as it relates to private database connectivity.
• You will have comfort operating with high autonomy in a fast-moving environment.
• You will have strong written communication and documentation habits.

🎯 Requirements

• 5+ years of experience with MongoDB in production, including Atlas-managed clusters.
• Strong ability to design schemas around application access patterns rather than relational conventions.
• Deep understanding of indexing, query planning, aggregation pipelines, and MongoDB operational fundamentals.

🏖️ Benefits

• $1,000 annual learning and development budget.
• $150/month health and wellness allowance.
• $500 home office budget.
• 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave.
• Fertility support up to $10,000.
• Four weeks of work from anywhere per year.
• Serious equity.

Skills & Technologies

Python

MongoDB

AWS

Azure

Senior

Onsite

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Heidi Health Pty Ltd

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About Heidi Health Pty Ltd

Heidi Health is an Australian clinical software company that provides AI-powered medical scribe and workflow automation tools for healthcare providers. Its platform records and transcribes patient consultations in real time, generating structured clinical notes, referral letters and coding suggestions that integrate directly with electronic medical record systems. The company serves general practitioners, specialists and allied health professionals, aiming to reduce administrative burden and improve documentation accuracy while maintaining data security and compliance with Australian healthcare standards.

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