Ready to take the next step in your career? Join a leading global exchange network for derivatives, foreign exchange, digital asset, and securities trading, building trusted, inclusive markets for more than 50 years. The organization provides the financial infrastructure that helps power the global economy, creating space for investors of all backgrounds to participate and for its people to grow while pursuing big ideas. The company is currently on the lookout for a Senior Automation Engineer to help transform its infrastructure team into a full-scale platform automation function over the next three years. The ideal candidate will combine hands-on site reliability engineering with the design and operation of AI-driven automation, with container orchestration as the central pillar. Ready to make a move? Get in touch and apply today! Responsibilities: • Build, deploy, and operate containerized workloads at scale, currently ~50 microservices running on Docker Swarm, migrating to Kubernetes as the corporate standard • Own and evolve the Kubernetes platform, including container orchestration, service resilience, and infrastructure-as-code • Design and run agentic AI systems in production, agent harnesses, context management, RAG pipelines, and prompt engineering, with attention to token cost optimization and observability • Implement hybrid model strategies: lightweight/on-prem LLMs (e.g., via OpenRouter) for routine decisions, frontier models for complex reasoning tasks • Partner across engineering, security, and compliance to ensure AI systems are observable, auditable, and defensible • Lead technically without formal authority; mentor engineers on Linux, containers, and automation practices Skills/Must Have: • Strong SRE or sysadmin background with deep hands-on Kubernetes and Docker/container experience • Solid Linux fundamentals; comfortable troubleshooting at the OS, network, and application layers • Basic networking literacy (routing/switching concepts), no expert-level certification required • Working knowledge of LLM APIs, agent orchestration patterns, and building reliable AI pipelines in production • Security-minded: aware of AI-specific risks (prompt injection, tool misuse, data leakage) and how to mitigate them • Python or Go for automation and tooling; CI/CD and IaC experience (e.g., Terraform, Ansible) • Clear communicator, able to translate technical trade-offs into decisions leadership can act on • Financial services or other regulated industry experience is a plus Salary: • Up to $200,000