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Xero

Senior Search Engineer

Xero is hiring a Senior Search Engineer for a remote role open to applicants in Australia. Level rates it ; you can apply on Xero.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • Level classes it as a senior role.
  • Xero has 117 other open roles on Level.

AI in this role

The role and impact

This is a role for a search specialist who wants to work at genuine scale. As a Senior Engineer on Xero's Search team, you will help maintain and evolve one of the largest search clusters in the Southern Hemisphere; part of an entire vertical stack delivered to customers. The work is both meaningful and technically stretching: keeping 50+ million searchable documents and 400 terabytes of searchable data at global scale running at 99.9% uptime, whilst contributing to a significant four-year platform rebuild that will shape the next generation of Xero's growth. Currently serving over 200,000 daily active users, this is a product at meaningful scale.

Beyond the day-to-day, this role is about real ownership. You will contribute across both search-specific and generalist engineering work, raise and review pull requests, and lead projects. If you are someone who cares about quality and gets energised by hard problems at scale, this is a place where your work will genuinely matter.

The team and how they connect

The Search team is a small, tight-knit group spread across Melbourne, New South Wales and New Zealand, now part of Xero's Catalyst platform division. You will partner closely with this experienced group who are building the next generation of search infrastructure, a dedicated Product Manager, a Principal Architect, and the Catalyst Platform team who coordinate changes and releases across services. The team brings a high-quality mindset to everything they do, and solves challenging technical problems together.

The team is currently working on

  • A large-scale search platform rebuild (Horizon 2) – a multi-year project at the heart of Xero's infrastructure, addressing critical infrastructure limits and building a scalable future

  • Maintaining and evolving the cluster to keep systems running at 99.9% uptime whilst serving over 200,000 daily active users

  • Integrating with the ODL (Operational Data Layer) on the ingestion pipeline for the new platform

  • Exploring new partnership opportunities with Mobile, Files, and AI-adjacent search capabilities as the platform evolves

Where and how you can work

This role can be based in Australia or New Zealand. You will have genuine flexibility in where you work day to day. The team comes together in Melbourne approximately every six months; a chance to connect, align, and spend time in person with colleagues across regions. Xero also offers boost days, giving you the option to work from the office and collaborate with the broader Xero community when it suits you.

Here are some of the things we are looking for

  • You bring strong search engineering experience and know what it takes to build, maintain and scale search systems in a production environment handling hundreds of millions of documents

  • Solid software engineering and development fundamentals are part of your toolkit, and you are comfortable contributing to both search-specific and generalist engineering work

  • Quality comes first for you – you hold a high bar for the code you write and review, and care about doing things properly

  • Working collaboratively with others comes naturally to you, whether that is with engineering, product or infrastructure teams across a distributed environment

 

How we rate this

Senior Search Engineer at Xero rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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