Senior Principal Engineer, Intelligent Systems at carsales
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

A FEW OTHER THINGS WE WANT TO LET YOU KNOW ABOUT…

  • carsales is an equal opportunity employer and we pride ourselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages, genders and backgrounds to apply. If you’re a candidate with a disability or you’ll need some adjustments to be at your best, let us know how we can provide you with additional support.
  • We know how important keeping that balance between work/life is and have a range of flexible working options on offer, including part time work. We are open to this conversation during our recruitment process - if you want to know more just ask.
  • We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
  • Successful candidates joining the carsales family are required to undergo a National Police Record check and must have full-time Australian working rights on an ongoing basis.
    So come and join our team - because every role is a big role in our plans to go big.

How To Apply:

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Responsibilities

WHAT YOU’LL DO:

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

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

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