Who we are
At Qrious, we unleash data to help New Zealand organizations win big in the digital world. We're passionate about leveraging the power of data to enable our customers to grow in intelligence and thrive.
Qrious is owned by Spark NZ and offers a range of products and services across data, analytics, AI, and data-powered customer engagement.
We work on exciting and innovative projects that :
Help government agencies gain insight through machine learning
Inject AI technologies into projects of national significance
Use predictive analysis to find cost savings for organizations
Use natural language processing to optimize contact centers
Deliver marketing automation to enhance the customer experience
And so much more!
What you'll do
As Site Reliability Engineer you will report to the chapter lead of your team and work with engineers, architects, data scientists and BI experts to effectively deliver customer projects and maintain internal platforms.
You need to move comfortably within the cloud, cloud automation, and cloud development practices.
The technologies that Qrious is using are world-class big data technologies and require the successful candidate to have the aptitude to adapt in this fast-moving environment.
This will cover a broad range of activities, including :
Outstanding communication on Cloud technologies and Automation.
Clear understanding and hands-on knowledge on SCRUM based Software development and Operation.
Working closely with the Qrious data science team, consulting solutions, and data product teams to achieve the business outcomes.
Enhanced Troubleshooting capability in mixed-platform environments.
Must have :
3+ years with a major development language (Java / TypeScript / Python)
Cloud engineering solutions with AWS, Azure or GCP
Infrastructure as Code using Terraform, CloudFormation
Configuration management with Ansible, SaltStack
CI / CD pipelines with GitLab, Bitbucket and Azure DevOps
Platform monitoring and alerting with Datadog
Maintain Linux based platforms
Nice to have :
Linux / Windows System Administration
Networking in Hybrid Cloud environments
Openshift / Kubernetes
Big Data Services (EMR, Glue, Kinesis, .etc)
Data warehouses (e.g. Redshift, Snowflake)
ETL and orchestration tools (Matillion, Airflow)
Certifications (AWS, Azure, GCP)
Why you should join Qrious
Qrious is a rapidly growing business with a strong focus on building an innovative and engaged culture. You'll be surrounded by opportunities to expand your skills, test your creative boundaries, share new ideas, and most importantly have fun doing it.