Senior Automation Engineer: AI-Driven Platform & DevOps

Flint Hills Resources

Atlanta, Plano, Wichita (GA, TX, KS)

On-site

USD 120,000 - 180,000

Full time

9 days ago

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Job summary

Koch is seeking a Sr. Automation Engineer to create scalable automation capabilities and drive platform engineering across IT Employee Services. The role emphasizes modernizing patterns, reusable capabilities, and mentoring technical contributors across teams.

You will leverage AI, APIs, and event-driven design to reduce manual work and improve reliability in a complex enterprise environment. You will collaborate with product, engineering, infrastructure, security, and operations to align

Qualifications

Bachelor’s degree in information technology, computer science, engineering, or a related discipline.
Experience with automation tooling, cloud platforms, observability solutions, and infrastructure orchestration frameworks.
Background in DevOps architecture, platform engineering, site reliability engineering, or large-scale operational transformation initiatives.

Responsibilities

Define and maintain the target-state DevOps and automation architecture, including CI/CD patterns, infrastructure as code standards, environment strategies, and reusable platform capabilities.
Design, build, and maintain automations that eliminate manual work across Collaboration Technology and Endpoint teams.
Leverage AI, Copilot, intelligent agents, APIs, and event-driven architectures to create self-service capabilities, automate business processes, improve decision-making, and advance automation-first ways of working
Partner with engineering, infrastructure, security, and product stakeholders to prioritize modernization opportunities and align technical solutions to business outcomes.
Provide technical leadership and mentorship by guiding design decisions, reviewing patterns and implementations, and coaching teams on DevOps, automation, and engineering best practices.
Analyze operational data, incidents, service requests, and platform telemetry to identify automation opportunities, reduce recurring support demand, improve service reliability, and drive continuous operational excellence.