Lead DevOps Engineer – AI & Data (Foundation Models)
Core
Build and operate scalable CI/CD pipelines and cloud infrastructure to enable the deployment and operation of foundation models and AI workloads.
Role type
Lead DevOps Engineer (AI & Data)
Builds
CI/CD pipelines, cloud infrastructure, and runtime environments for AI model training, testing, and production deployment.
Domain
Financial Technology / Artificial Intelligence / Cloud Infrastructure
Deliverable
production ML models
Required skills
CI/CD pipeline design, AWS cloud infrastructure, Infrastructure as Code (Terraform/CloudFormation), Container orchestration (Kubernetes), Databricks workflows, Monitoring and observability, Security best practices in CI/CD
Preferred skills
Azure or GCP experience, Experience with streaming jobs, Incident response
Technologies
AWS, Terraform, CloudFormation, Docker, Kubernetes, Databricks
Responsibilities
Design and maintain CI/CD pipelines for AI and data workloads; Automate build, deployment, and release processes; Manage and optimize cloud infrastructure; Support deployment and operation of AI models and inference services; Implement monitoring, logging, and alerting; Embed security best practices into deployment pipelines; Contribute to troubleshooting production issues and incident response.
Seniority
Senior, hands-on IC