Who We AreHealthcare 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 RoleYou 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 DoOwn MongoDB Atlas cluster configuration and management across production, staging, and development environments spanning multiple regions globally across AWS and AzureLead schema and data model design across services, making deliberate choices around embedding, referencing, denormalization, and aggregation patternsOwn index strategy, query performance analysis,



and aggregation pipeline design across all collectionsEvaluate and plan database technology decisions including when MongoDB is the right fit and when a relational store like Amazon RDS is more appropriateDesign and execute data migrations between database systems as the platform evolves, writing Python tooling to support migration pipelines and data transformationManage all Atlas infrastructure through Terraform including cluster sizing, compute auto-scaling, private endpoints, and access controlDesign and maintain OIDC authentication and workforce identity federation across Atlas projectsOwn database user management, credential rotation, and access control policiesDetect and remediate infrastructure state drift between Terraform and Atlas configurationMonitor database performance, identify bottlenecks, and drive optimisation across replica sets and sharded clustersPartner with backend engineers on schema design, indexing strategies, and query performanceEstablish runbooks for operational tasks including failover, scaling events, and incident responseWhat We Are Looking For5+ years of experience with MongoDB in production, including Atlas-managed clustersStrong ability to design schemas around application access patterns rather than relational conventionsDeep understanding of indexing, query planning, aggregation pipelines, and MongoDB operational fundamentalsSolid experience with Amazon RDS or other relational databases, including schema design and query optimisationStrong SQL skills including query optimisation, indexing, and schema design for relational workloadsProficiency in Python for scripting, automation,



and data migration toolingExperience planning or executing database migrations across technology boundariesProficiency with Terraform for managing cloud database infrastructureHands-on experience with AWS and Azure networking as it relates to private database connectivityComfort operating with high autonomy in a fast-moving environmentStrong written communication and documentation habitsNice to HaveExperience with Atlas Terraform providerFamiliarity with OIDC and workforce identity federation in AtlasBackground in multi-region data architectureExperience in healthcare or regulated industriesThe Way We Work1.
Build to LastWe design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.2.
Own Your PracticeIdeas rise on merit, not title, and everyone shares responsibility for the standards we set together.3.
Move Fast, Stay SteadyWe move quickly but never at the cost of trust.
Progress only matters if people can depend on what we make.4.
Make Others BetterHonest 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 officeMonthly $150 AUD benefit to invest in your physical and mental wellbeingRecharge Days after major milestones and busy periodsA generous personal development budget of $**** AUD per annumBecome an owner, with shares (equity) in the company, if Heidi wins, we all winA one-time home office setup contribution26 weeks paid parental leave for primary carers, 18 weeks for secondary carersA fertility support benefit of $10,000 AUD covering IVF, egg freezing or sperm freezing10 days per year dedicated to supporting clinicians in maintaining accreditationThe rare chance to create a global impact as you immerse yourself in one of Australia's leading healthtech startupsIf you have an impact quickly, the opportunity to quick track your startup career!

📌 Senior Application Database Engineer (New South Wales)
🏢 Heidi
📍 New South Wales