DevOps Engineer Think Markets

We are seeking a highly skilled Senior DevOps Engineer to oversee the architecture, automation, and reliability of our global trading infrastructure. As we provide 24-hour market access, this role is critical in ensuring mission-critical systems are scalable, secure, and highly available. You will be using compound AI agentic models to spearhead productivity and to optimize workflows. You will lead the charge in driving operational excellence, implementing advanced observability, and managing the complex data pipelines that power our real-time trading solutions.

Key Responsibilities

Infrastructure & Cloud Operations:

• Design, build, and maintain scalable, secure, and highly available infrastructure across AWS and/or GCP
• Manage multi-region cloud architectures with focus on reliability, performance, and cost optimization
• Implement and manage containerized environments using Docker and Kubernetes (EKS, GKE, or OpenShift)
• Lead cloud migration initiatives and infrastructure modernization projects
• Develop and maintain Infrastructure as Code using Terraform and other automation tools

Observability & Monitoring:

• Design and implement comprehensive observability solutions using tools such as Elastic Stack, Prometheus, Grafana
• Build and maintain centralized logging and monitoring platforms
• Deploy and configure data ingestion pipelines and log aggregation systems
• Create dashboards and alerts for infrastructure monitoring, application performance, and error tracking
• Implement observability best practices including distributed tracing and metrics collection

CI/CD & Automation:

• Administer and optimize Kafka clusters (on-premise and managed services like AWS MSK)
• Manage data streaming applications, including setup, tuning, security (SSL/Kerberos), and performance optimization
• Support data pipeline operations including ETL processes and data warehouse integration (Redshift or similar.

Agentic AI:

• Experience with AI/ML model deployment and serving (e.g., KubeFlow, SageMaker, or similar)
• Experience with GPU infrastructure provisioning and management
• Familiarity with vector databases and RAG architectures
• Understanding of AI security best practices (prompt injection mitigation, data privacy, access controls)