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DevOps Engineer at Harrison.ai

$140k in Barangaroo, NSW

Apply to Harrison.ai

The DevOps Engineer will drive towards excellence in cloud deployment, monitoring and CI/CD pipelines. You will develop a highly available and reliable stack to support AI-as-a-Medical-Device services that scale effortlessly with challenging healthcare data requirements. The Technology team is tasked with solving hard, AI-centric problems specific to healthcare, such as integrating medical data pipelines and scaling large storage and computation to meet the AI development workflow. Given the regulation of the medical device industry and our high commitment to quality, proactive monitoring and auditability of development and deployment operations is essential.

As part of our Technology team you’ll enjoy working in a fun, fast-paced early-growth culture building meaningful products that make a real difference. You will enjoy great autonomy as you are tasked with both creating the vision and delivering to it.

To ensure success in the role you will demonstrate that you are a results-driven and detail-oriented self-starter who works well in a team environment. You will be a key member of a collaborative development team. Your passion for learning will be demonstrated by your initiative to learn new tools and products as well as identify opportunities to improve current processes and standards.

The role

  • Creating and executing on a vision for best-in-class DevOps capability on exciting greenfield projects
  • Fostering a strong DevOps culture. Advocating best practices and benefits to all stakeholders
  • Orchestration, configuration management and deployment of automation tools
  • Lead the configuration of monitoring tools and appropriate triage alerts
  • Developing and executing a roadmap in line with best practices for automating deployment
  • Develop and execute a system monitoring strategy, including data/compute usage and InfoSec/privacy considerations
  • Work with the engineering team to keep platform components up to date and co-ordinate all software delivery pipeline activities
  • Ensuring cost is optimised for all provided environments and ensure clear communication of status and risks to relevant stakeholders
  • Supporting key phases of the program; development, build, test and deployment of the solution
  • Providing solution and infrastructure support as required
  • Managing relationships with internal teams and external service provider

Some criteria to assess how you align with this role

  • Managing relationships with internal teams and external service provider
  • Passion to make technology easy and accessible for everyone, such as peer engineers, AI researchers and clinicians
  • Experienced in designing, developing and maintaining high performance development and production pipelines for scalable, cloud-based software products
  • Experienced in growing technical capabilities and building DevOps process awareness in team members
  • A systematic and logical approach to troubleshooting and solving problems
  • A desire to automate everything - never do the same thing twice.
  • Comfortable scripting e.g. Bash, Python etc.

Technical skill

  • Experience with Machine Learning workflows
  • Extensive AWS experience including S3, EC2, RDS, Lambda, CloudWatch, -- SageMaker, Spot Instance pricing and workflows
  • Excellence in networking, security & cost-optimisation practices in the cloud
  • Experience with use of enterprise grade monitoring and logging solutions
  • Excellence in deployment troubleshooting including network connectivity debugging on AWS resources
  • Python scripting or other dev experience
  • Configuration management tools e.g. Ansible
  • Experience with cloud-based CI/CD tools e.g. Bitbucket pipelines, Travis CI or Jenkins
  • Experience with containerization e.g. Docker and Kubernetes
  • Experience supporting and building Infrastructure as Code e.g. Terraform

Highly rated technical skills

  • CI/CD build, test deployment pipelines
  • Deployment to both on-prem and cloud targets e.g. AWS, Azure
  • Large scale data pipeline and migration for AI training and deployment
  • Data anonymisation and de-identification concepts and procedures
  • DR (disaster recovery), HA (high availability), backup and BCP (business continuity) solutions and procedures
  • Relational databases
  • Distributed systems e.g. Spark, Elastic, Cassandra
  • Web technologies e.g. React, Rails

Job Type

Full Time

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About Harrison.ai

Office address

  • 100 Barangaroo Avenue, Barangaroo, NSW, 2000

Company size

11-50 people

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