Summary
✨ AI‑Generated
Work as a DevOps Engineer building and operating software engineering platforms, automation capabilities, and AI-assisted development workflows. You will help create agentic systems that automate software development, testing, deployment, incident response, vulnerability remediation, and production support while improving reliability and delivery velocity.
Highlights
Competitive $130K annual compensation and an opportunity to work at the intersection of DevOps, automation, and AI-assisted software engineering. The role focuses on improving delivery speed, reliability, and operational efficiency through modern engineering platforms and intelligent automation.
Description
Role: DevOps with Claude
Location: Cincinnati, OH (Onsite)
Fulltime
Salary:$130K/annu
m
• The DevOps Engineer is responsible for the design, implementation, and operation of software engineering platforms, DevOps capabilities, and automation solutions that improve delivery velocity, operational efficiency, and system reliabil
ity.
• The ideal candidate possesses hands-on experience with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider, or similar platforms, and has experience building agentic engineering harnesses that automate software development lifecycle activities.
Experience applying AI agents to software development, testing, deployment, incident management, vulnerability remediation, and production support is highly desir
able.
Key Responsibi
lities
· Design, develop, implement, and maintain software engineering, DevOps, and automation pla
tforms.
· Build and support agentic engineering harnesses that automate software development lifecycle activities, including development, testing, deployment, and operational
support.
· Develop AI-enabled workflows that improve engineering productivity, software quality, and operational ef
ficiency.
· Design, implement, and maintain CI/CD pipelines, environment provisioning, and infrastructure automation cap
abilities.
· Automate operational processes, incident management workflows, vulnerability remediation, and production support
functions.
· Develop solutions that assist with issue triage, root cause analysis, and production problem
resolution.
· Integrate engineering platforms with source control, ticketing, monitoring, observability, and operati
onal systems.
· Configure, maintain, monitor, and optimize application and platfor
m performance.
· Ensure solutions comply with enterprise security, compliance, governance, and risk managemen
t requirements.
· Implement human-in-the-loop controls for AI-assisted development and operat
ional processes.
· Promote adoption of modern engineering practices, automation frameworks, cloud technologies, and AI-enabled developm
ent capabilities.
Req
uired Qualifications
Experience designing and implementing CI/CD pipelines, infrastructure automation, and cl
oud-native solutions.Hands-on experience with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider, or
similar technologies.Experience building agentic workflows, AI orchestration frameworks, engineering automation platforms, or software d
evelopment harnesses.Strong understanding of software development lifecycle processes, testing practices, deployment methodologies, an
d production support.Experience integrating development platforms with tools such as GitHub, GitLab, Azure DevOps, Jira, ServiceNow, Datadog, Splunk, o
r equivalent systems.Strong programming, scripting, a
nd automation skills.Pre
ferred QualificationsExperience within banking, payments, financial services, fintech, or other highly
regulated industries.Knowledge of enterprise software governance, security, compliance, audit, and risk
management practices.Experience with Large Language Models (LLMs), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), agent-based architectures, and AI orch
estration frameworks.Experience implementing AI governance, Responsible AI, or Model Risk
Management controls.Experience automating incident response, production support, operational workflows, and vuln
erability management.
