As part of the Data, Engineering and IT team, you’ll be a solution integrator who helps build effective technology environments for our stakeholders.
𝖶𝗁𝗒 join us?
💙 Do work that matters. We’re pioneering AI technologies that help raise the standard of healthcare for millions of people every day.
🌏 Well-funded and global, backed by world-class investors including Blackbird Ventures, Skip Capital and Horizon Ventures. Raised Australia’s largest Series B ($129m) in 2021.
🌟Work with a bunch of awesome, genuine people who are passionate about what they do.
💻 Flexible and remote-friendly working
🚀Make a real impact. You won’t be another ‘cog in the wheel’ here. We give full trust and autonomy for you to be heard, to work on the big hairy projects – and to make a real difference.
🌱Grow your career with us. We’re big believers in lifelong learning. You’ll be given a $1000 personal L&D budget, access to LinkedIn Learning, plus opportunities for internal mobility to fast-track your career.
🙌 Market-leading parental support including 16 weeks gender-neutral paid parental leave and $10,000 support for egg or sperm freezing.
🌈 Do your best work and have fun doing it with unlimited wellbeing leave, monthly meditations, inclusive team events, and lots more!
About your role
The efficient collection, storage and delivery of high-quality data is critical to harrison.ai
’s mission of delivering impossible healthcare using artificial intelligence. As a DevOps Engineer
in the Data Engineering team, you will use cutting edge engineering technologies to build a world-leading data engineering platform, providing harrison.ai
’s AI engineers with fast and efficient access to an array of petabyte-size data sources. From data collection and labelling to model training and evaluation, the platform will offer a seamless experience for building best-in-category AI models from end to end.
In this role you will report to the Head of Data Engineering and work in partnership with the infrastructure engineers within the harrison.ai
Data Engineering team. You will build high-quality software to power our data labelling efforts, improve data processing pipelines, provide controlled API access to our data lake, and manage our various AI model training infrastructure. You will be successful in this role by combining your skills in building production quality software with curiosity and a strong desire to grow in your career and learn new skills.
we take pride in pushing technical boundaries and finding solutions for often loosely defined problems. While building together you will be part of a team culture that highly values, supports and respects each other. As a team we constantly look to improve upon our practices and processes, with a strong emphasis on introspection, open feedback and continuous improvement.
What you'll do:Work with the Data Engineering software team to develop high quality infrastructure for the data pipelines, services and APIs of the harrison.ai data platform built on AWS. You will be using a range of services and applications such as: Kinesis & Firehose, Athena, Glue EC2, ECS, Lambda Functions, SQS & S3 and workload schedulers such as Hashicorp Nomad and Slurm,Work with the harrison.ai Applied AI teams to ensure efficient availability of a variety of data and label sources for model training and development,Work with the Data Engineering Infrastructure team to manage, support and improve the physical ML Training Cluster,Effectively communicate technical concepts to both technical and non-technical audiences,Keep across latest trends in infrastructure, dev-ops and data engineering while always looking for opportunities to push the boundaries of performance, accessibility and maintenance; andWork within the highly regulated environment of medical device development and sensitive data storage.
About you:Experience designing solutions in public clouds such as AWS and deploying and managing on-premises infrastructure. Experience designing and maintaining infrastructure for large datasets including technologies such as AWS S3, Athena, RedShift, Presto. Experience with Infrastructure as Code technologies such as Terraform and Ansible. Experience with microservice architecture and design, API's, CI/CD and containerisation. Have worked in previous cloud / Solutions Architect or Dev-Ops roles. Relevant tertiary qualifications or comparable experience.
Nice to haves:Experience developing and deploying cloud / on-prem infrastructure. Experience in programming in scripting languages such as Python or Bash. AWS Solutions Architect certification or similar
What we’re about
We're problem solvers, redefining what’s possible in healthcare through AI Technology. Our mission is to raise the standard of healthcare for millions of patients every day.
Yes, we’re a technology company and yes, we’re leveraging the latest AI technologies, but people are at the heart of everything we do.
Since 2019, harrison.ai
and its ventures have scaled rapidly to 250 employees worldwide with Series funding of almost $160 million. Our AI software has helped to create more lives through IVF, as well as enabling faster, more accurate diagnosis of medical images via our joint venture annalise.ai
. Soon, we’ll be helping with early cancer detection in pathology though our newest joint venture, Franklin.ai
And we’re just getting started.
A role with harrison.ai
means you’ll be a part of our unique joint venture model – giving you access and opportunity to do impactful work across a range of healthcare domains.
Help us shape the future of AI in healthcare. And most importantly, help us make a real difference in people’s lives.
If you’re inspired by what we're up to, please apply now and we'll be in touch soon.
We are proud to be an Equal Opportunity Employer. Diversity’s not a buzzword here, it’s in our DNA. Diverse perspectives shape our culture and make our work better. That’s why we’re committed to building inclusive teams that represent a variety of backgrounds and skills. If you need any reasonable adjustments, accessibility assistance or would like to note which pronouns you use at any stage of our hiring process, just contact us at accommodations: email@example.com. We look forward to hearing from you.