Experienced Site Reliability Engineer
Spark New Zealand
Wellington, New Zealand
9d ago

Auckland or Wellington

Qrious Limted, A Spark NZ Company


We're Qrious, we unleash intelligence that allows organisations to learn and thrive. As data explorers we leverage new technology to innovate and invent new perspectives from data that both empowers and up-skills our customers.

Qrious is focused on unleashing organisational and customer intelligence through data and advanced analytics. We employ world-

class data scientists and big data engineers, who work alongside our global technology partners to provide comprehensive end-

to-end data and analytics capabilities.


As a Site Reliability Engineer (SRE) you will be responsible for overseeing the engineering of data projects across our technology partners.

You'll work collaboratively within our agile framework with cross-functional teams as well as vendors / partners to engineer solutions and data platforms for corporate, enterprise and government customers.

You are self-directed and possess the ability to design, implement and release the solutions into production. SREs work side by side with our architecture, data science and consultants to understand problems and develop innovative solutions to meet the our customers' need.

We strive for a deep understanding of the core technologies that are being used while building highly reliable systems and establishing best practices.

Our goal is to build a highly automated and self-healing system for the evolving platform build challenges, while continuously improving the existing systems and processes.

Our team automates as much as possible, using Open Source tools that are available and are best suited to align to our solution design principal - "Simple is the best".

Our approach is to deploy the most appropriate technology that is best to solve the problem at hand. This often means that we are often learning from the cutting edge of the Open-

Source community or developing our own tools.


  • Work with Architects to lead design solutions focused on the reliability and scalability of the products we use to succeed in our mission.
  • Work to develop a deep understanding of core components of the Qrious data platform stacks, thinking through all of the moving pieces and making recommendations on design and configuration.
  • Work with the Pre-sales Architects to design the DevOps / Big Data solutions and support sales demos to clients in the public and private sectors.
  • Optimise existing deployments and explore more efficient ways of delivering existing outcomes.

  • Hadoop, Spark, Elasticsearch, Hive, Cassandra, Greenplum for distributed data storage
  • AWS Redshift and EMR
  • Java, Python, Scala, R and Bash programming languages
  • RabbitMQ, Kafka for messaging
  • Tableau, Qlik for visualisation
  • DevOps - Ansible, Terraform, Cobbler, CloudFormation for configuration management and orchestration
  • AWS, VMWare ESX, KVM for virtualization
  • Docker, Kubernetes Containerization and Orchestration
  • Pivotal Cloud Foundry, RedHat OpenShift Enterprise for Paps

  • AWS, Azure or similar cloud platforms
  • 5-10 years minimum experience with systems engineering
  • Scripting and Automation Experience
  • Database administration skills in HBase, NoSQL, RDBMS e.g. PostgreSQL
  • Agile mindset and methodologies
  • Desirable SKILLS

  • BS / MS in Computer Science or a related technical field, or equivalent experience
  • Experience in Big Data technologies (Hadoop / Spark / NoSQL DBs)
  • AWS or Azure or Cloudera certifications
  • Apply
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