engineering
Added 2 hours agoSenior Software Engineer
at ResMed
On-site
Responsibilities
- Design, build, and evolve scalable test automation platforms and engineering enablement tooling.
- Develop AI ‑ driven workflows that safely orchestrate tools, code, and data to accelerate engineering outcomes while maintaining trust, traceability, and evidentiary integrity.
- Establish data ‑ driven quality intelligence pipelines that support risk‑based 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 AI‑enabled 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.
Requirements
- about the role We are seeking a Senior Software Engineer to provide technical leadership and hands-on delivery across engineering platforms and AI-enabled engineering practices.
- This role is critical to sustaining core engineering capabilities while enabling the next phase of AI‑driven transformation across testing, automation, and quality practices. Let's talk about
- Solve engineering challenges with innovative solutions involving software, hardware, AI.
- 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.
- Good understanding of cloud networking concepts Strong problem-solving skill
- Experience with AWS, Terraform, Container Tooling – Docker Preferred Skills
- Experience with agentic AI (Examples: tool using AI agents, orchestration, retrieval‑augmented generation, evaluation frameworks, test generation, intelligent regression, self‑healing automation etc.).
- Experience with modern test automation frameworks (e.g., browser/API automation).
- Experience with cloud‑based 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 AI‑enabled 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.
Additional details
- Responsibilities Provide technical leadership across architecture and design discussions, ensuring alignment with engineering standards and business goals.
- 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 building solutions that support traceability, auditability, and quality assurance expectations.
- Strong communication skills, able to translate complex technical concepts into pragmatic, value driven outcomes.
- 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.
- 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 quality‑sensitive and regulated environments.