Senior Principal Engineer, Intelligent Systems

4 weeks ago


Melbourne, Victoria, Australia Buscojobs Full time

What's on offer

  • A place where you can move your career forward, where you'll be continuously backed to make new ideas happen, and the chance to do work that makes a real, significant impact in the world.
  • We're proud to be recognised as one of Australia's Best Workplaces by Great Place to Work, a Family Friendly Workplace, and a WORK endorsed employer for women.
  • The support of a highly engaged, high-performing team including a leadership team that you'll actually have face time with.
  • 24 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender-affirming care leave.

Job Description

What you'll do :

  1. Lead the architectural vision for intelligent systems powering future products, ensuring interoperability between our core platforms and emerging data-intensive technologies.
  2. Ensure Carsales' long-term architecture evolves in line with our long-term objectives, including enabling the needs of complex analytical workloads.
  3. Take company-level, multi-year objectives and collaborate with Product & Engineering teams to shape the technical roadmaps required to achieve them.
  4. Provide technical oversight and hands-on guidance by establishing patterns that enable teams to then own, scale, and build upon these components.
  5. Collaborate across the Technology Leadership Team on the evaluation and selection of key frameworks, patterns, and tools.
  6. Guide engineering programs through high levels of ambiguity toward a commercial outcome or enhancing internal operational efficiencies.

Qualifications

What are we looking for?

Critical to success in the role is the ability to operate in the liminal space between business, data, and technical practice.

  1. An all-of-business ownership mindset over siloed success, leading with integrity and accountability.
  2. Ability to lead the distillation of company-level objectives into multi-year technical roadmaps.
  3. Ability to guide the development of standards that unlock organization-wide value and/or efficiency in how data-intensive services and data products are built.
  4. Mastery of modern software architecture and distributed technologies, enough to advance the discipline where solving problems at a portfolio level.
  5. Hands-on experience designing and building large-scale, distributed systems that handle complex data processing, high-throughput APIs, and real-time decisioning.
  6. Proficiency in cloud ecosystems (preferably AWS, although not mandatory) with deep knowledge of services essential for scalable applications and complex data workloads.
  7. Experience with modern AI / ML frameworks, including LLM architectures, vector DBs, and MLOps principles is favored.
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