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, ephemeral environment bootstrapping, 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