Staff Software Engineer - Data Systems

Brightree•Peachtree Corners, GA

About The Position

Brightree is seeking a Staff Software Engineer with deep expertise in data systems and relational databases to own and evolve the core data model powering the Brightree BMS platform. This role operates horizontally across product and engineering teams and provides clear technical ownership of the platform’s data foundation, balancing immediate performance and reliability needs with long‑term scalability. This is a hands‑on, high‑impact Staff role. You’ll work closely with product managers, senior engineers, DBAs, and platform teams to shape data‑layer decisions, proactively reduce systemic risk, and improve customer experience by removing bottlenecks in data design, performance, and schema evolution. Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant. Brightree is a wholly owned subsidiary of ResMed (NYSE: RMD, ASX: RMD). Visit www.brightree.com to learn more. As a global leader in health technology, ResMed has developed transformative cloud-connected medical devices and solutions for people with sleep apnea, COPD, and other chronic diseases. Today the company is applying this digital health expertise more broadly through the SaaS business, offering comprehensive software platforms that support healthcare providers in settings outside of the hospital. With this full suite of cloud-based EHR and business management systems supporting all aspects of care delivery for both home- and facility-based organizations, ResMed SaaS is changing the way care is delivered. ResMed Corporation is an equal opportunity employer and provides equal opportunity in employment for all qualified persons, without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. (US/Canada only) ResMed is an equal opportunity/affirmative action employer. ResMed is an E-Verify Employer. ResMed is a smoke-free workplace. We are a 2024 Circle Back Initiative Employer -- we commit to respond to every applicant!

Requirements

10+ years of overall experience in IT/software engineering, with a strong focus on building and evolving data‑intensive systems
Extensive experience with Microsoft SQL Server, including schema design, performance tuning, and high‑volume transactional workloads
Strong background in .NET and C#, with experience supporting or building large‑scale enterprise applications
Familiarity with data pipelines and analytics platforms (e.g., Snowflake or similar)
Deep expertise in relational database design, schema evolution, and performance optimization
Strong background in data modeling for complex, high‑scale transactional systems
Proven experience working with high‑volume, mission‑critical data

Responsibilities

Own the platform’s core data foundation, setting direction for how the data model evolves across teams
Guide schema design and evolution to support both near‑term delivery and long-term platform integrity
Ensure consistency, integrity, and scalability across shared and high‑impact data domains
Lead and support high‑volume table redesigns (e.g., SODTL and other critical transactional surfaces)
Proactively identify, triage, and mitigate database performance and scalability risks
Partner closely with DBAs and engineering teams on performance tuning, concurrency challenges, and reliability issues
Think strategically about near real‑time data replication and synchronization patterns
Influence and contribute to broader data platform modernization initiatives
Act as a trusted technical advisor to teams, raising the bar for data decisions without becoming a delivery bottleneck

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