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Mary Technology builds an AI-powered Fact Management System for litigation lawyers, transforming messy evidence into structured timelines and searchable records in minutes. Over 3,000 lawyers across 200+ firms use the platform. The company is backed by OIF Ventures following a $7M raise and is expanding from Australia into the US market.
As a Platform Engineer, you will design, build, and maintain the cloud infrastructure supporting this growth. You'll work closely with development and product teams, owning scaling, observability, CI/CD pipelines, and security posture. Your focus will include extending Terraform-based infrastructure as the company scales into new regions, building proactive observability and on-call processes, and supporting SOC 2 certification and compliance requirements.
Key responsibilities include:
- Extend and maintain Terraform-based infrastructure as the company scales into new regions
- Build out proactive alerting and on-call processes, moving 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
- Optimize 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
Longer term, there is opportunity to shape the company's approach to AI agent infrastructure, ephemeral environment bootstrapping, and telemetry as model deployment scales.
REQUIREMENTS:
- 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)
- Containerization/orchestration experience (Docker, Kubernetes) is a plus
- Interest in AI infrastructure is a plus, though not required
