DevOps Engineer - AI-Assisted Development

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.