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You will be part of a highly dynamic and innovative engineering team operating at the intersection of mobile, cloud, and AI, building products in the fast-growing Digital Health space. As a cloud and AI leader, you will help shape and deliver personalized, intelligent patient experiences built on a modern AWS serverless platform. You’ll work on production-grade GenAI capabilities, backed by RAG that power real-world products.
Job Responsibility:
Lead in a hands-on technical role while managing and mentoring a team of 5–7 cloud and AI engineers
Own end-to-end delivery and outcomes for your team
Take pride in building high-quality, scalable AI & cloud solutions and consistently meeting delivery commitments
Act as a product owner and work closely with technical architects, DS/ML engineers, functional analysts, and product managers to translate requirements into technical solutions
Drive and uphold engineering best practices across system design, AI usage, security, and reliability
Contribute to estimation, planning, and execution, ensuring transparency and predictability
Proactively communicate risks, dependencies, and trade-offs, and help unblock delivery when challenges arise
Participate in an on-call support rotation to ensure platform reliability and operational excellence
Take on additional responsibilities as needed to support team and business objectives
Requirements:
Strong experience designing and building cloud-native solutions on AWS, with a focus on serverless and managed services
Hands-on experience with Python and infrastructure-as-code using Terraform or CloudFormation
Experience with event-driven and message-based architectures, including pub/sub, queues, request/response, and data streaming patterns
Solid experience working with NoSQL and relational databases
Proven ability to build scalable, highly available, and low-latency systems in production environments
Hands-on experience designing, implementing, and optimizing GenAI systems, including: LLM-based applications, RAG pipelines and vector search, Agentic or workflow-driven AI patterns
Good understanding of prompt engineering, grounding, evaluation, and system limitations
7+ years of experience in software design and development
3+ years of experience leading software engineering teams through multiple product or platform releases
4+ years of experience as a significant individual contributor, delivering real-world, production software
Nice to have:
Mobile development experience (iOS or Android using Swift or Kotlin)
Experience with CI/CD pipelines and automated testing frameworks
Prior experience building customer-facing products at scale
What we offer:
Bonus plan
Competitive benefits
Working from home flexibility
Access to a referral bonus
Access to Resmed's preferred shareholding programme