Principle Engineer - Identity

ResMed•San Diego, CA

20h

About The Position

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, including fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes. The Global Technology Services organization powers digital experiences and engagement to enhance the lives of millions of people every day through connected care, building, delivering, and managing a portfolio of data management platforms and mobile offerings. The Digital Platform Engineering team focuses on building world-class platforms in the cloud, with capabilities and processes that enable engineers to deliver innovative customer-facing features. This includes company-wide engineering capabilities like Data Platform, AI Platform, Customer Identity Platform, and DevX platform. As a Principal Engineer of Identity Platform Engineering at ResMed, you will enable ResMed to securely and seamlessly manage customer identities by providing a robust, scalable, and user-friendly platform that ensures the privacy, security, and trust of customer data. This role is critical in ensuring the system is secure, scalable, and user-friendly, and is ideal for someone hands-on, passionate about system design and architecture, data-driven decision making, and developing platform products.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or equivalent combination of education and experience.
10+ years of experience building, operating, and improving SaaS applications in production environments.
Deep expertise in Identity and Access Management (IAM) concepts, technologies, protocols, and best practices.
Strong hands-on experience designing and building distributed systems at scale.
Experience building and integrating with APIs and third-party platforms.
Demonstrated ability to lead by example and show what good engineering looks like through hands-on technical contribution.
Experience in two or more of the following areas: Unix/Linux, distributed systems, AWS/GCP, Kubernetes, or container-based software development.
Strong experience with observability, including metrics, logging, monitoring, data analysis, and visualization tools.
Experience applying AI or machine learning capabilities to engineering operations, platform operations, or developer productivity use cases.
Experience evaluating and applying AI-assisted development tools to improve engineering effectiveness while maintaining security, quality, and governance standards.
Strong understanding of how identity, access control, and security controls apply to AI systems, service-to-service interactions, agentic workflows, and MCP-based integrations.
Proven track record of improving teams through technical leadership, mentoring, and creating growth opportunities for others.
Strong business acumen with the ability to connect technical decisions to strategic outcomes.
Excellent communication and collaboration skills.
Action-oriented mindset with a strong sense of ownership and delivery.

Responsibilities

Provide technical leadership for the design, implementation, and evolution of ResMed’s customer identity platform.
Define and drive the architectural blueprint for the identity platform, including authentication, authorization, user management, data flows, integration points, and security controls.
Lead the development of a comprehensive security strategy covering secure data storage, encryption at rest and in transit, multi-factor authentication, session management, identity proofing, and regulatory compliance.
Design and guide implementation of authentication and authorization services supporting modern identity patterns such as social login, SSO, and passwordless authentication.
Ensure adoption of industry-standard protocols including OAuth 2.0, OpenID Connect, and SAML.
Establish scalable authorization models, including role-based and attribute-based access control.
Define and evolve APIs and SDKs that enable internal teams and external partners to integrate with the identity platform for account creation, login, password reset, token management, and access control.
Ensure APIs are well documented and designed with strong standards for versioning, rate limiting, reliability, and backward compatibility.
Develop strategies for data migration and user onboarding, including transition planning for existing identity stores where applicable.
Drive performance and scalability planning to support high concurrency, large user populations, and peak traffic conditions.
Establish compliance, auditing, monitoring, alerting, and incident response capabilities to support operational excellence and regulatory requirements.
Use AI and automation to improve identity platform operations, including intelligent monitoring, anomaly detection, incident triage, operational insights, and faster remediation of service issues.
Identify and implement opportunities to use AI to improve software development lifecycle productivity, including development workflows, documentation, code quality, testing, debugging, release readiness, and engineering efficiency across the systems owned by the team.
Ensure the identity platform provides strong protection for AI-enabled systems and MCP-based ecosystems, including authentication, authorization, service identity, secrets management, policy enforcement, auditability, and secure access patterns for agents, tools, models, and machine-to-machine interactions.
Partner with security and platform teams to define identity patterns and guardrails for AI services, autonomous workflows, and MCP integrations so that these systems are secure, governed, and scalable.
Promote strong documentation and knowledge sharing, including architecture artifacts, developer guides, onboarding materials, and stakeholder communications.
Champion testing and quality practices, including unit, integration, performance, and security testing.
Help define a forward-looking roadmap for identity platform capabilities and continuous improvement, including support for AI-native and machine-oriented identity use cases.
Align technical direction with business strategy and customer needs.
Communicate complex technical concepts clearly to both technical and non-technical audiences.
Mentor engineers and raise the technical bar across the organization through leadership, influence, and hands-on example.