Our client, a rapidly growing venture-backed Legal AI technology startup, is seeking a Senior Platform Cloud Infrastructure Engineer to join their core engineering team. This company is building cutting-edge AI solutions that are transforming how legal professionals research, analyze, and draft complex legal content.
This is a high-impact opportunity to shape the foundational cloud infrastructure powering enterprise-grade AI products in a highly secure, compliance-driven environment.
About the Opportunity
As the Senior Platform Cloud Infrastructure Engineer, you will lead the design, implementation, and scaling of secure, high-performance cloud infrastructure supporting advanced AI and machine learning workloads. You will work cross-functionally with engineering, data science, and security teams to ensure reliability, scalability, and regulatory compliance.
This role is ideal for someone who thrives in high-growth startup environments and enjoys building scalable systems from the ground up.
Key Responsibilities Cloud Architecture & Platform Engineering
- Architect and manage scalable, secure, and cost-efficient cloud environments (AWS, Google Cloud Platform, or Azure).
- Design and maintain Kubernetes-based container orchestration for production AI systems.
- Develop and manage Infrastructure-as-Code (Terraform preferred) to ensure consistent, repeatable deployments.
- Build and optimize CI/CD pipelines to support rapid and reliable software releases.
- Implement modern deployment strategies (blue/green, canary, rolling deployments).
AI/ML Infrastructure
- Support GPU-enabled and high-performance compute environments for model training and inference.
- Optimize infrastructure for large-scale AI workloads, including LLM-based applications.
- Design scalable storage and data architectures for handling sensitive legal datasets.
- Improve observability across AI systems and platform services.
Security, Compliance & Reliability
- Implement cloud security best practices (IAM, VPC design, encryption, secrets management).
- Support SOC 2 and other enterprise compliance initiatives.
- Establish monitoring, logging, and alerting systems (Datadog, Prometheus, Grafana, or similar).
- Define and manage SLAs/SLOs and lead incident response efforts.
- Drive infrastructure cost optimization and performance improvements.
Technical Leadership
- Provide guidance on DevOps and cloud-native best practices.
- Contribute to long-term infrastructure strategy and architecture decisions.
- Partner in scaling engineering operations as the company grows.
Required Qualifications
- 7+ years of experience in cloud infrastructure, DevOps, or platform engineering roles.
- Strong production experience with AWS, Google Cloud Platform, or Azure.
- Deep expertise in Kubernetes and containerized environments.
- Hands-on experience with Infrastructure-as-Code tools (Terraform strongly preferred).
- Experience supporting AI/ML workloads or high-performance compute environments.
- Strong understanding of cloud security and best practices.
- Experience operating highly available, production-scale systems.
- Proficiency in scripting or programming (Python, Go, or similar).
Preferred Qualifications
- Experience in regulated industries (legal, fintech, healthcare, etc.).
- Familiarity with large language model (LLM) infrastructure.
- Experience with vector databases or distributed data systems.
- Prior involvement in SOC 2 or similar compliance audits.
- Startup experience (Seed through Series B stage).
Why This Role Stands Out
- Opportunity to build foundational infrastructure for a category-defining AI company.
- Direct impact on enterprise-scale legal technology transformation.
- Competitive compensation package including equity.
- Remote-first culture with strong growth trajectory.
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