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Senior Automation Engineer; Platform & AI
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-10-16
Listing for:
Hamilton Barnes ?
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
SRE/Site Reliability, Systems Engineer, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: New York
Job Title: Senior Automation Engineer (Platform & AI)
Location: New York, Chicago or Kansas City
Salary: Up to $225,000 TC
Do you want to work for a global financial technology business delivering the infrastructure, trading platforms and investment solutions that connect market participants worldwide.
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.
What you'll do- 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 Open Router) 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
- 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
Position Requirements
10+ Years
work experience
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