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ResMed

Senior Software Engineer - Quality Engineering

Posted Yesterday
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Remote
Hiring Remotely in Bella Vista, New South Wales, AUS
Senior level
Remote
Hiring Remotely in Bella Vista, New South Wales, AUS
Senior level
Provide technical leadership to design and build scalable test automation platforms, AI-driven workflows, and data-driven quality pipelines. Develop CI/CD integrations, ensure traceability and auditability for regulated environments, mentor engineers, embed quality and AI practices early in delivery, and drive automation reliability, efficiency, and compliance through measurable improvements.
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Let's talk about the role

We are seeking a Senior Software Enginer to provide technical leadership and hands-on delivery across quality engineering platforms and AI-enabled engineering practices. This role focuses on building scalable, reliable automation and agentic AI workflows that improve delivery efficiency, release confidence, and decision-making—while ensuring solutions are traceable, auditable, and suitable for qualitysensitive and regulated environments. 

This role is critical to sustaining core engineering capabilities while enabling the next phase of AIdriven transformation across testing, automation, and quality practices. 

 

Let's talk about Responsibilities 

  • Provide technical leadership across architecture and design discussions, ensuring alignment with engineering standards and business goals. 

  • Design, build, and evolve scalable test automation platforms and engineering enablement tooling. 

  • Solve engineering challenges with innovative solutions involving software, hardware, AI. 

  • Develop AIdriven workflows that safely orchestrate tools, code, and data to accelerate engineering outcomes while maintaining trust, traceability, and evidentiary integrity. 

  • Establish datadriven quality intelligence pipelines that support riskbased testing, release readiness, and reduced defect leakage. 

  • Build and maintain reliable test execution and CI/CD integrations to improve speed, repeatability, and delivery confidence. 

  • Collaborate with engineering, product, and quality stakeholders to embed quality and AIenabled practices early in the delivery lifecycle. 

  • Mentor engineers and uplift standards through reusable patterns, reference implementations, and technical coaching. 

  • Drive measurable efficiency improvements and cost optimization by reducing manual work and improving automation reliability and reuse. 

  • Conducts software and end-to-end system testing and develops the associated test documentation to ensure product quality and compliance with requirements. 

 

Qualifications and Experience 

Required Skills 

  • Computer Science, Engineering or Science degree or equivalent experience with 8+ commercial experience 

  • Senior software engineering experience delivering production grade platforms, frameworks, or internal tooling. 

  • Strong hands-on programming experience in Python, Java and modern engineering practices (testing, clean design, code review, CI/CD). 

  • Practical experience applying AI/LLMs to real engineering workflows (automation, analysis, evaluation, or decision support). 

  • Proven ability to lead technical design discussions and deliver solutions end-to-end. 

  • Experience building solutions that support traceability, auditability, and quality assurance expectations. 

  • Strong communication skills, able to translate complex technical concepts into pragmatic, value driven outcomes. 

  • Good understanding of cloud networking concepts 

  • Strong problem-solving skill 

  • AWS, Terraform, Container Tooling – Docker 

 

Preferred Skills

  • Experience with agentic AI (Examples: tool using AI agents, orchestration, retrievalaugmented generation, evaluation frameworks, test generation, intelligent regression, selfhealing automation etc.). 

  • Experience with modern test automation frameworks (e.g., browser/API automation). 

  • Experience with cloudbased data or ML platforms and operationalizing ML/AI solutions. 

  • Experience with AI architecture, MLOps, and governance pattern 

  • Familiarity with integrating AI into developer workflows and CI/CD pipelines. 

 

Why This Role Matters 

This role directly shapes how quality and engineering excellence scale in an AIenabled future—balancing speed, innovation, and reliability. You’ll work at the intersection of automation, AI, and engineering leadership, building systems that deliver real, measurable impact across teams and products. 

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.

 

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