Platform Engineer

Mary Technology

Sydney

On-site

AUD 140,000 - 190,000

Full time

5 days ago
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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

About Us

Mary Technology builds an AI-powered Fact Management System for litigation lawyers, organising messy evidence into structured timelines and searchable records in minutes. Over 3,000 lawyers across 200+ firms already use it. Our platform reduces complexity and delivers clarity in high-stakes legal work. Security, trust, and integrity are at the heart of what we do, handling sensitive data demands it. We're growing our DevOps function to support that infrastructure as we scale.

Backed by OIF Ventures following a $7M raise, we and are expanding beyond Australia into the US market.

The Role

We're looking for a Platform Engineer to design, build, and maintain our cloud infrastructure. You'll work closely with our development and product teams, owning scaling, observability, CI/CD pipelines, and our security posture. Key focus areas include extending our Terraform-based infrastructure as we grow into new regions, building out proactive observability and on-call processes, and supporting our SOC 2 certification and ongoing compliance. Longer term, there's room to shape our approach to AI agent infrastructure, *??* and telemetry as model deployment scales.

Key Responsibilities
  • Extend and maintain our Terraform-based infrastructure as we scale into new regions
  • Build out proactive alerting and on-call processes, moving us away from reactive, customer-reported issue handling
  • Support SOC 2 certification and ongoing compliance, including security questionnaires and control management
  • Design and maintain cloud infrastructure, primarily on AWS, with Azure and GCP as needed
  • Optimise infrastructure for AI workloads, including GPU-enabled clusters and throughput scaling as model deployment and inference capacity grow
  • Automate provisioning, scaling, configuration, and monitoring to reduce manual effort
  • Improve observability so failures surface with the context needed for fast diagnosis, for engineers and AI tooling alike
Qualifications & Experience
  • Experience in DevOps, Cloud, or SRE roles, with strong underlying software engineering fundamentals
  • Comfortable owning infrastructure end to end, from design through to maintenance
  • Experience with Terraform or similar infrastructure-as-code tools
  • Working knowledge of AWS; exposure to Azure or GCP is a plus
  • Scripting ability (Python, Bash)
  • Understanding of cloud security principles (IAM, encryption, vulnerability scanning, monitoring)
  • Interest in AI infrastructure is a plus, though not required
  • Containerisation/orchestration experience (Docker, Kubernetes) is a plus
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