Shelton - Infrastructure - Engr- Dev Ops II

The Dev Ops Engineer is responsible for designing, building, and operating the continuous integration and delivery pipelines, infrastructure automation, and platform tooling that power Subway's technology organization. This role plays a critical part in enabling engineering teams to ship software faster, more reliably, and with greater confidence - while maintaining the security, stability, and scalability of shared delivery infrastructure.

The Dev Ops Engineer brings a strong automation-first mindset and hands-on proficiency with modern CI/CD tooling, infrastructure-as-code, and cloud platforms. Critically, this role is expected to actively leverage AI-powered tools and intelligent automation to accelerate delivery pipelines, reduce toil, improve system observability, and drive continuous improvement across the software delivery lifecycle.

• Design, build, and maintain CI/CD pipelines that support rapid, reliable, and repeatable software delivery across multiple engineering teams
• Automate build, test, packaging, and deployment workflows to minimize manual effort and human error
• Integrate AI-assisted code quality, security scanning, and test coverage tools into pipeline stages to shift quality left
• Monitor pipeline performance and health; identify and resolve bottlenecks that slow delivery velocity
• Establish and enforce pipeline standards, branching strategies, and deployment patterns across the engineering organization

• Develop and maintain infrastructure-as-code (IaC) solutions using Terraform and related tooling to provision, configure, and manage cloud and on-premises environments
• Automate infrastructure lifecycle management - provisioning, scaling, patching, and decommissioning - to reduce manual operations overhead
• Partner with Cloud Engineering to ensure IaC modules meet architecture, security, and cost governance standards
• Leverage AI-assisted code generation and IaC validation tools to improve accuracy, consistency, and speed of infrastructure development
• Maintain version-controlled infrastructure repositories with clear documentation and reusable module libraries

• Actively identify and implement AI-powered tooling to automate repetitive Dev Ops tasks, including incident triage, change management, and environment provisioning
• Leverage AI-assisted anomaly detection and predictive alerting to proactively surface issues before they impact delivery or production systems
• Evaluate and integrate emerging AI developer tools - including AI coding assistants, automated testing frameworks, and intelligent observability platforms - into the Dev Ops toolchain
• Contribute to the organization’s AI adoption journey by piloting new automation capabilities and documenting outcomes and best practices
• Promote an automation-first culture within the engineering organization by sharing tools, patterns, and results with peers and stakeholders
• Monitor cluster health, resource utilization, and workload performance; implement optimizations as needed

• Monitor Dev Ops platform health, CI/CD infrastructure, and shared tooling to maintain high availability and performance
• Respond to and resolve incidents affecting delivery pipelines, build infrastructure, or automation frameworks
• Conduct root cause analysis on pipeline failures, environment issues, and recurring incidents; implement permanent fixes
• Develop runbooks, playbooks, and self-healing automation to reduce mean time to recovery and minimize manual intervention
• Partner with Cloud Engineering and Observability teams to ensure end-to-end visibility across the delivery pipeline and supporting…