DevOps Engineer, ThinkMarkets

• Experience: 8+ years of experience in DevOps, CloudOps, or SRE roles, with a proven track record in production-grade Kubernetes and Terraform environments
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
• Expert-level Linux/Unix administration and strong scripting skills (Bash, etc.)
• AI: Comfortable working in an agentic AI-driven team
• Deep understanding of cloud architecture, networking concepts, and security principles
• Experience managing CI/CD pipeline in production environments
• Extensive knowledge of Infrastructure as Code (Terraform required)
• Hands-on experience with version control (Git) and observability platforms (ELK, Datadog)
• Communication: Excellent communication skills, with the ability to present technical infrastructure strategies to senior management and work collaboratively across departments
• Resilience: Ability to thrive in a fast-paced environment with 24/7 production support responsibilities

Desirable

• 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
• 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)