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.
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.
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
Design and execute data migrations between database systems as the platform evolves, writing Python tooling to support migration pipelines and data transformation
Manage all Atlas infrastructure through Terraform including cluster sizing, compute auto-scaling, private endpoints, and access control
Design and maintain OIDC authentication and workforce identity federation across Atlas projects
Own database user management, credential rotation, and access control policies
Detect and remediate infrastructure state drift between Terraform and Atlas configuration
Monitor database performance, identify bottlenecks, and drive optimisation across replica sets and sharded clusters
Partner with backend engineers on schema design, indexing strategies, and query performance
Establish runbooks for operational tasks including failover, scaling events, and incident response
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
Solid experience with Amazon RDS or other relational databases, including schema design and query optimisation
Strong SQL skills including query optimisation, indexing, and schema design for relational workloads
Proficiency in Python for scripting, automation, and data migration tooling
Experience planning or executing database migrations across technology boundaries
Proficiency with Terraform for managing cloud database infrastructure
Hands-on experience with AWS and Azure networking as it relates to private database connectivity
Comfort operating with high autonomy in a fast-moving environment
Strong 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
1. Build to Last
We design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.
2. Own Your Practice
Ideas rise on merit, not title, and everyone shares responsibility for the standards we set together.
3. Move Fast, Stay Steady
We move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.
4. Make Others Better
Honest feedback, steady support, and shared growth keep our teams improving together.
Why you will flourish with us 🚀?
Flexible hybrid working, with 3 days in the office
Monthly $150 AUD benefit to invest in your physical and mental wellbeing
Recharge Days after major milestones and busy periods
A generous personal development budget of $1000 AUD per annum
Become an owner, with shares (equity) in the company, if Heidi wins, we all win
A one-time home office setup contribution
26 weeks paid parental leave for primary carers, 18 weeks for secondary carers
A fertility support benefit of $10,000 AUD covering IVF, egg freezing or sperm freezing
10 days per year dedicated to supporting clinicians in maintaining accreditation
The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
If you have an impact quickly, the opportunity to fast track your startup career!
Heidi is the AI Care Partner designed to expand clinical capacity by automating administrative work – documentation, form filling, and task management - so clinicians can focus on patients. Used across emergency departments, general practice, and specialist clinics, Heidi supports more than 2 million consults each week in 110 languages from 116 countries. Founded in Melbourne, Australia, Heidi has raised $96.6M USD from global investors including Point72 Private Investments, Blackbird, Headline, LocalGlobe, Possible Ventures, and Archangel. Heidi adheres to international standards including the NHS, HIPAA, GDPR, and Australian Privacy Principles, and has obtained enterprise-grade security certifications such as SOC2 and ISO27001. Join the future of healthcare at www.heidihealth.com
