Platform Engineering Lead, Digital Health Solutions

Rauland; City of Melbourne; On-site; AUD 150,000 - 190,000; Full time

Job summary

Rauland is seeking a Platform Engineering Lead to shape the next generation of digital health solutions. You will lead a talented team of engineers, drive platform architecture decisions, and ensure end-to-end delivery of roadmaps with high-quality outcomes, while collaborating across Product, Architecture, Design and Delivery stakeholders.

You’ll combine strong technical leadership with a pragmatic delivery mindset, mentoring a team toward scalable, reusable platform capabilities across AI,

Qualifications

• Tertiary qualifications in Software Engineering, Computer Science, or related technical discipline.
• Agile, Scrum, or SAFe certification is advantageous.
• Familiarity with QA practices and technical debt management.

Responsibilities

• Contribute to architectural decision-making and end-to-end feature completion.
• Lead sprint planning, estimation, and delivery to ensure successful end-to-end feature outcomes.
• Drive Agile ways of working through facilitation of sprint ceremonies and continuous improvement initiatives.
• Lead, coach, and develop a high-performing team with accountability and continuous improvement.
• Collaborate with Product, Architecture, Design, and Engineering to deliver scalable, high-quality solutions.

Skills

Agile delivery leadership

Platform architecture

Technical design

AI/Data/Cloud/Cybersecurity

Stakeholder management

Education

Tertiary qualifications in Software Engineering or Computer Science

Agile/Scrum/SAFe certification advantageous

Job description

Rauland is seeking a Platform Engineering Lead to shape the next generation of digital health solutions. You will lead a talented team of engineers, drive platform architecture decisions, and ensure end-to-end delivery of roadmaps with high-quality outcomes, while collaborating across Product, Architecture, Design and Delivery stakeholders.

You’ll combine strong technical leadership with a pragmatic delivery mindset, mentoring a team toward scalable, reusable platform capabilities across AI,