Platform Engineer: AI Infra & Cloud Scaling

Mary Technology; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Mary Technology is hiring a Platform Engineer to design, build, and maintain cloud infrastructure for an AI-powered litigation tech platform. You’ll own scaling, observability, CI/CD pipelines, and security posture. Primary focus includes Terraform-based expansion, proactive alerting, and SOC 2 readiness.

The role emphasizes AWS-based infrastructure with Azure/GCP exposure, scripting in Python/Bash, and Kubernetes container orchestration to support AI workloads.

Qualifications

• Experience in DevOps, Cloud, or SRE roles with strong software fundamentals.
• Owning infrastructure end to end from design to maintenance.
• Experience with Terraform or similar IaC tools.
• Working knowledge of AWS; Azure or GCP is a plus.
• Scripting in Python or Bash.

Responsibilities

• Extend and maintain Terraform-based infrastructure as the company scales into new regions.
• Build proactive alerting and on-call processes to reduce reactive support.
• Support SOC 2 certification and ongoing compliance tasks.
• Design and maintain cloud infrastructure, primarily on AWS with Azure/GCP as needed.
• Optimize infrastructure for AI workloads and model deployment.
• Automate provisioning, scaling, and monitoring to reduce manual effort.
• Improve observability for fast issue diagnosis across engineering and AI tooling.

Skills

DevOps

Cloud

SRE

Observability

On-call

AI infra interest

Docker/Kubernetes

Terraform

Tools

Terraform

AWS

Azure

GCP

Docker

Kubernetes

Python

Bash

Job description

Mary Technology is hiring a Platform Engineer to design, build, and maintain cloud infrastructure for an AI-powered litigation tech platform. You’ll own scaling, observability, CI/CD pipelines, and security posture. Primary focus includes Terraform-based expansion, proactive alerting, and SOC 2 readiness.

The role emphasizes AWS-based infrastructure with Azure/GCP exposure, scripting in Python/Bash, and Kubernetes container orchestration to support AI workloads.