Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.
The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.
Senior Software Engineer — Agentic SystemsAbout the RoleThe primary role of the Software Engineering function within the Product Development team is to create specifications and designs for new products and improvements to existing systems — working closely with customers, developers, and stakeholders to understand and define needs.
We're building the foundational infrastructure that powers our agentic AI applications and we need a seasoned backend engineer to help us do it right. You'll join a cross-functional team of data engineers and analysts working at the intersection of data engineering and AI systems development. Your job is to bring production-grade engineering discipline to a team that's moving fast in a space where the patterns are still being written.
Let's Talk About ResponsibilitiesThe primary objective of this role is to design, develop, test, and deliver software that meets our business and customer needs. Key responsibilities include: designing, developing, and testing software; verifying behavior through manual and automated tests; delivering quality product within timeline; documenting product design; and collaborating effectively with all stakeholders.
In this role you will:
- Join a team sitting at the intersection of data engineering and AI systems development to build the infrastructure that supports current and future agentic needs
- Design and maintain pipelines that ingest, transform, and act on data intelligently in support of AI agent workflows
- Drive best practices in microservice architecture, helping the team design systems that are consistent, scalable, and operationally sound
- Serve as the technical voice on how to take agentic applications from prototype to production — reliability, observability, and lifecycle management included
- Own the full lifecycle of your services — design, build, test, deploy, observe, iterate — verifying behavior meets requirements through both manual and automated testing
- Lead cooperative efforts among project team members; serve as a best practice resource within your area of expertise
- Mentor and support teammates with varying technical backgrounds — patience and a genuine interest in growing others is essential here
- Bachelor's degree or equivalent work experience
- Minimum of 8 years of related software engineering experience
- Strong experience designing and building microservices with production best practices: service boundaries, health checks, structured logging, distributed tracing, metrics
- Deep understanding of REST APIs, async patterns, and event-driven systems
- Strong hands-on experience with containerization (Docker) and cloud infrastructure
- Applies functional knowledge and existing methodologies to solve complex problems and execute specialized projects
- Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results; determines methods and procedures on new assignments
- A systems-thinking mindset — you reason about how components interact, fail, and recover, not just how each piece works in isolation
- Demonstrated ability to productionalize software
- Comfortable working in emerging problem spaces where established patterns don't yet exist
- Collaborative, patient, and open to learning; equally comfortable learning from a domain expert as you are teaching engineering fundamentals
- AWS (EC2, ECS, Lambda, S3, or similar)
- Python; experience with FastAPI or similar async frameworks
- Familiarity with healthcare data and PHI compliance requirements (HIPAA)
- Exposure to agent-to-agent (A2A) protocols or multi-agent system design
- Experience networking with contacts outside own area of expertise and leading sub-functional teams or projects
- Are energized by ambiguity and emerging technology rather than unsettled by it
- Care deeply about doing things the right way, but know when to move fast
- Enjoy working with people across disciplines — analysts, data engineers, and ML practitioners — and can meet them where they are
We're a cross-disciplinary team where domain expertise comes in many forms. You bring strong engineering instincts; others bring deep knowledge in math, data science, or the business domain. The best work here happens when those perspectives meet in the middle. We value humility, curiosity, and the ability to learn from anyone on the team — regardless of title or background.
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.
