Sr Systems Engineer I (DevOps, Agentic AI)

Job Summary

Performs advanced systems and infrastructure engineering functions, including planning, designing, and implementing cloud and on-premise platform solutions. This includes container orchestration (Kubernetes/OpenShift), servers, storage, networking, and backup solutions.

Leads the design and implementation of highly available, scalable, and resilient infrastructure aligned with enterprise architecture standards, including multi-region deployments and disaster recovery strategies. Develops and maintains Infrastructure as Code ( IaC ) and Configuration as Code to automate the provisioning and management of infrastructure and application platforms.

This role blends systems engineering, software development, DevOps practices, and emerging AI-enabled automation capabilities to deliver reliable, scalable, and intelligent solutions across the enterprise.

Primary Activities and Responsibilities

Systems Engineering & Platform Ownership

- Design, implement, and manage enterprise Kubernetes/OpenShift platforms with a focus on resiliency, scalability, and operational efficiency

- Define and maintain platform standards, including lifecycle management, patching, upgrades, and policy enforcement

- Engineer infrastructure and operational workflows as code, driving automation, self-healing, and scalability (using tools like Terraform, Kubernetes Operators, etc .)

- Develop, maintain, and evolve internal platforms and tools to simplify deployment, monitoring, and operational health, improving the experience for application development teams.

- Collaborate across teams ( MidTier , Dev, Security) to deliver secure, performant, and highly-available systems.

Cloud, DevOps & Automation

- Design and implement CI/CD pipelines using tools such as Jenkins

- Support GitOps deployment models leveraging tools such as ArgoCD

- Develop Infrastructure as Code (Terraform) and Configuration as Code (Ansible) to automate provisioning and management

- Automate installation, configuration, and lifecycle management of Kubernetes and supporting infrastructure

- Implement monitoring, logging, and reporting to ensure system health and performance

Software Engineering & Developer Enablement

- Develop and maintain automation tools, services, and APIs using Java and/or Python

- Build scripts and reusable automation to improve platform reliability and developer productivity

- Collaborate with development teams to enable efficient application deployment and integration

- Apply software engineering best practices, including modular design, testing, and version control

AI-Enabled Engineering & Intelligent Automation

- Leverage AI-assisted development tools to accelerate engineering workflows and improve productivity

- Apply prompt engineering techniques to create effective, repeatable interactions with AI tools for automation and problem solving

- Contribute to development and reuse of standardized AI “skills” or prompt patterns for engineering tasks

- Demonstrate familiarity with agentic AI concepts, including multi-step workflows driven by AI agents and tool integration

- Understand how external tools and services can be integrated into AI-driven workflows (e.g., MCP-style tool integration and context sharing)

- Evaluate opportunities to incorporate AI-driven automation into infrastructure and DevOps processes

Architecture, Planning & Delivery

- Lead or contribute to infrastructure design aligned with enterprise architecture, including high availability and disaster recovery

- Establish project milestones and drive execution to meet time, cost, and quality objectives

- Analyze, design, and implement solutions in complex and evolving environments

- Provide technical leadership and guidance across teams

Operational Excellence & Support

- Investigate and resolve complex service issues across systems, platforms, and teams

- Perform root cause analysis and implement preventative solutions

- Participate in on-call rotation and provide production support

- Maintain operational documentation, standards, and runbooks

Leadership & Continuous Improvement

- Mentor team members and share knowledge across the organization

- Influence stakeholders, partners, and peers on infrastructure and platform best practices

- Stay current with industry trends, including DevOps, cloud-native platforms, and AI engineering practices

- Drive continuous improvement and innovation across systems and processes

Minimum Qualifications

- Bachelor’s degree in Computer Science , Engineering, Information Systems, or related field (or equivalent experience)

- 5+ years of experience in systems engineering, infrastructure engineering, or DevOps roles

- Strong experience with Kubernetes and/or OpenShift

- Strong experience with Linux system administration

Equivalent Minimum Qualifications

- High School Diploma/GED with 10+ years of relevant experience

Preferred Qualifications

- 5+ years of Kubernetes/OpenShift administration in enterprise environments

- Experience with cloud platforms (Azure preferred)

- Microsoft Azure Administrator (AZ-104) certification

- Red Hat Certified Engineer (RHCE) or equivalent Linux certification

- Experience with CI/CD and GitOps tooling (Jenkins, ArgoCD )

- Experience developing automation using Java or Python

- Exposure to AI-assisted development, prompt engineering, or intelligent automation frameworks

Knowledge and Skills

Systems & Infrastructure

- Experience deploying and maintaining enterprise container platforms (OpenShift, Rancher, EKS, GKE)

- Strong Linux administration skills (filesystem, networking, permissions, logging, scheduling)

- Understanding of networking fundamentals including switching, routing, and load balancing

- Familiarity with infrastructure performance, capacity planning, and forecasting

DevOps & Automation

- Experience with Infrastructure as Code (Terraform) and configuration management tools (Ansible, Ansible Automation Platform)

- Experience with CI/CD pipelines and automation frameworks (Jenkins, Git-based workflows)

- Experience implementing GitOps patterns using tools such as ArgoCD

- Experience leveraging APIs and scripting to automate operational processes

Software Engineering

- Proficiency in Java and/or Python for building automation, services, and integration tooling

- Experience with scripting and automation (Python, Ansible, PowerShell)

- Understanding of application architecture and development best practices

AI, Prompting & Emerging Capabilities

- Understanding of prompt engineering concepts and how to structure inputs to improve AI output quality

- Familiarity with reusable AI “skills,” prompt patterns, or workflow-based automation

- Awareness of agentic AI concepts, including orchestration of multi-step tasks using AI agents

- Familiarity with tool integration models (e.g., MCP-style approaches) for connecting AI systems to external services

- Interest in applying AI to improve developer productivity, automation, and operational efficiency

Job Requirements

- Participation in a rotating on-call schedule, including support outside standard business hours

- Work schedule may vary based on operational needs

- This is an on-site position located at CSX corporate headquarters