Senior Infrastructure Automation Engineer (Agentic AI)
Job Description
Job Title: Senior Automation Engineer (Platform & AI)
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Location: New York, Chicago or Kansas City
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Salary: Up to $225,000 TC
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Do you want to work for a global financial technology business delivering the infrastructure, trading platforms and investment solutions that connect market participants worldwide.
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We are seeking a Senior Automation Engineer to help transform our infrastructure team into a full-scale platform automation function over the next three years. This role combines hands-on site reliability engineering with the design and operation of AI-driven automation, with Kubernetes as the central pillar.
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What you'll do
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Build, deploy, and operate containerized workloads at scale — currently ~50 microservices running on Docker Swarm, migrating to Kubernetes as the corporate standard
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Own and evolve the Kubernetes platform, including container orchestration, service resilience, and infrastructure-as-code
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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
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Implement hybrid model strategies: lightweight/on-prem LLMs (e.g., via OpenRouter) for routine decisions, frontier models for complex reasoning tasks
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Partner across engineering, security, and compliance to ensure AI systems are observable, auditable, and defensible
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Lead technically without formal authority; mentor engineers on Linux, containers, and automation practices
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What you'll bring
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Strong SRE or sysadmin background with deep hands-on Kubernetes and Docker/container experience
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Solid Linux fundamentals; comfortable troubleshooting at the OS, network, and application layers
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Basic networking literacy (routing/switching concepts) — no expert-level certification required
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Working knowledge of LLM APIs, agent orchestration patterns, and building reliable AI pipelines in production
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Security-minded: aware of AI-specific risks (prompt injection, tool misuse, data leakage) and how to mitigate them
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Python or Go for automation and tooling; CI/CD and IaC experience (e.g., Terraform, Ansible)
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Clear communicator — able to translate technical trade-offs into decisions leadership can act on
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Financial services or other regulated industry experience is a plus
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