Data Applications Engineer

Last updated 33 minutes ago
Location:Melbourne
Job Type:Full Time

Xero is a beautiful, easy-to-use platform that helps small businesses and their accounting and bookkeeping advisors grow and thrive.

At Xero, our purpose is to make life better for people in small business, their advisors, and communities around the world. This purpose sits at the centre of everything we do. We support our people to do the best work of their lives so that they can help small businesses succeed through better tools, information and connections. Because when they succeed they make a difference, and when millions of small businesses are making a difference, the world is a more beautiful place.

About the team:

The Data team is responsible for driving the adoption of data driven decision making across Xero - for both our internal users and our global audience of small business owners, bookkeepers and accountants. We create, manage and deliver a wide range of data services including machine learning toolsets, frameworks API prediction services, core reporting, key data dimensions, extensible and scalable analytical data processing and storage facilities. We are the center of expertise for data architecture, data modeling, machine learning, ethical data usage and artificial intelligence service design. We also lead the work to raise the data and AI literacy levels across Xero with a particular focus on the product management and engineering cohorts globally.

As a cross-functional team designing and building data assets, pipelines and machine learning applications we need to answer questions like:
- When should we use CPUs vs GPUs to serve machine learning models in production?
- How do we ensure our services are reliable and built to scale with Xero’s growth?
- When is the best answer an ML model? And when is it a simple report?
- How can we automate our transformation and training pipelines so they are reproducible and easy to operate?
- What is the best way to receive feedback from our users to measure the accuracy of predictions?

About the role:

As an Applications Engineer in the Data team you will work closely with Applied Scientists, and Data Engineers to design and build the data pipelines and applications that will enable Xero to bring intelligent, insightful products and beautiful experiences to millions of customers around the world. You will have a strong interest in building Machine Learning applications that can run and evolve at scale leveraging microservices and the latest technologies.

Our tech stack currently includes:
- A lot of Python, which may evolve to include languages like Go
- Deployments on Kubernetes using Helm and AWS Lambda using CloudFormation
- Data stores that include S3, DynamoDB, and MS SQL
- Spark and Presto for data analysis and processing
- Model pipelines in Tensorflow

What you'll do:

  • Collaborate with colleagues from the Science, Evaluation & Measurement and Data Enrichment teams to build end-to-end machine learning pipelines for training and inference at scale.
  • Monitor, Maintain and Support the solutions you build including being part of an on-call roster should an urgent issue come up.
  • Work with colleagues to maintain and operate the Data team’s pipelines, with an emphasis on monitoring for changes in data quality.
  • From ideation to production enable the development of easy-to-use infrastructure, tooling and monitoring for data applications and reproducible data science workflows.
  • Stay current with emerging practices, techniques and frameworks in the fields of applied machine learning and artificial intelligence at scale.
  • Promote software best practices in your team, increasing our capability to build and operate intelligent, data-driven, products and services in our core customer offerings.
  • Champion the ethical development of data processing systems which include ML/AI components and ensure your teams are always working with the best interests of our users in mind.
  • What you'll bring with you:

  • Track record of solving customers' problems through software
  • Excellent written and verbal communication skills
  • Appreciation of best practices for building production-grade maintainable web services
  • Experience coding in production and knowledge of application architecture
  • Proven experience in operating at an intermediate technical level
  • Experience working within commercial software development teams
  • Understanding of SQL and designing data models
  • Working with infrastructure as code eg: CloudFormation, Terraform, Kubernetes
  • Demonstrable experience in developing both training and inference systems for machine learning pipelines at scale (nice to have)

  • Why you should become a Xero

    It’s a diverse and inclusive environment, with people who will respect, challenge, support and mentor you to do the best work of your life. We’re a place where innovation and change are not only encouraged but also celebrated. We value our people and want them to enjoy and take pride in their work.

    We’re very supportive of flexible working arrangements and offer a competitive remuneration package including shares and life insurance, in addition to your base salary. We have a culture we’re proud of. Whether you're after a workplace with a social vibe, or a workplace which understands your family is priority - Xero is all of that and more.

    Why Xero?

    At Xero we support many types of flexible working arrangements that allow you to balance your work, your life and your passions. We offer a great remuneration package including shares plus a range of leave options to suit your well-being. Our work environment encourages continuous improvement and career development and you’ll get to work with the latest technology.

    Our collaborative and inclusive culture is one we’re immensely proud of. We know that a diverse workforce is a strength that enables businesses, including ours, to better understand and serve customers, attract top talent and innovate successfully. We are a member of Pride in Diversity, in recognition of our inclusive workplace. So, from the moment you step through our doors, you’ll feel welcome and supported to do the best work of your life.