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Devops Engineer
Devops EngineerConsult Recruitment • Auckland, New Zealand
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Devops Engineer

Devops Engineer

Consult Recruitment • Auckland, New Zealand
30+ days ago
Job description

DevOps Engineer

October 28,

  • Genesis is building a next-generation Data & AI practice, and this is your chance to be at the centre of it.

They're setting up a greenfield environment, bringing in the latest tools, and embedding AI into the way we deliver energy and insights.

As DevOps Engineer, you'll be the one who makes it all run.

From CI / CD pipelines and automation to cloud optimisation and AI-driven efficiency, your work will directly enable engineers, data scientists, and analysts to deliver faster, smarter, and more reliable solutions.

This isn't a "keep the lights on" role, it's a chance to shape the culture, drive innovation, and experiment with how DevOps and AI come together.

What you'll be doing

Designing, building, and optimising CI / CD pipelines to support advanced analytics and GenAI models.

Embedding FinOps and security best practices across Azure and Databricks platforms.

Introducing AI-driven monitoring and automation to push efficiency further.

Partnering with engineers, data scientists, architects, and business teams to deliver real outcomes.

Championing continuous improvement in how we develop, deploy, and scale AI.

What we're looking for

Proven DevOps / SRE experience in cloud environments (Azure essential, Databricks a bonus).

Strong track record with CI / CD, automation, RBAC / ABAC, monitoring tools.

Scripting / programming in Python, Bash or PowerShell.

Curiosity, hunger to learn, and drive to change how things are done.

A collaborative mindset – you'll work across engineers, data scientists, and architects.

Why join?

Be part of a greenfield practice in the Data & AI space.

Work with cutting-edge tools (Azure, Databricks, AI-driven pipelines).

Career growth – pathways into MLOps, data engineering, solution architecture or beyond.

A culture that backs curiosity, innovation, and trying new ways of doing things.

Build a greenfield Data & AI DevOps practice

Hands-on with Azure, Databricks & AI tools

Multiple growth pathways & career options

#J-

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