Systems Engineer I

Paychex•Cincinnati, OH

About The Position

Under moderate supervision, the Systems Engineer designs, implements, supports, and continuously improves enterprise infrastructure platforms that enable critical business applications and services. The role provides operational support while advancing automation, standardization, and infrastructure modernization across Linux and Windows environments. The Systems Engineer installs, configures, maintains, and upgrades server hardware, operating systems, middleware, and supporting infrastructure. The engineer proactively monitors system health, troubleshoots complex issues, and implements solutions to improve availability, reliability, security, and performance. The role emphasizes Infrastructure as Code (IaC), automation, continuous improvement, and operational excellence through reusable automation, self-service capabilities, and standardized deployment processes. The position works within cross-functional Agile Delivery Teams with software, quality, product, architecture, security, and platform colleagues to deliver infrastructure solutions for Paychex SaaS platforms. The engineer is also expected to use AI- and ML-enabled tools to improve operational efficiency, accelerate issue resolution, and enhance infrastructure reliability; evaluate emerging AI capabilities; and apply them in accordance with organizational governance and security standards.

Requirements

Strong troubleshooting and analytical skills.
Experience administering Linux and/or Windows enterprise environments.
Understanding of scripting or programming languages such as PowerShell, Bash, Python, Go, or Ruby.
Familiarity with automation, orchestration, Infrastructure as Code, and configuration management concepts.
Knowledge of Agile methodologies, DevOps principles, Continuous Integration, and Continuous Delivery.
Excellent communication and collaboration skills with technical and non-technical stakeholders.
Ability to prioritize multiple initiatives while maintaining high operational standards.
Passion for continuous learning, innovation, automation, and improving customer outcomes.

Nice To Haves

Familiarity with Generative AI platforms and AI-assisted engineering tools, such as GitHub Copilot, ChatGPT, or Microsoft Copilot.
Understanding of AI concepts, including Large Language Models (LLMs), prompt engineering, and AI agents.
Exposure to Linux and Windows Server operating systems; Infrastructure as Code and configuration management; Git-based version control; CI/CD pipelines and DevOps practices; automation and orchestration platforms; container technologies; virtualization; enterprise compute, storage, and networking; public and private cloud; and monitoring, logging, and observability platforms.
Familiarity with technologies such as Git, Puppet, Ansible, PowerShell, Python, Go, container solutions, VMware, Microsoft, Red Hat, Cisco, Dell Technologies, HPE, and cloud technologies.

Responsibilities

Design, deploy, configure, administer, and support enterprise Linux and Windows server environments.
Perform operating system, application, and infrastructure upgrades while ensuring system stability and minimal business disruption.
Troubleshoot complex infrastructure, operating system, networking, and application issues across development, test, and production environments.
Develop and maintain Infrastructure as Code, configuration management, and automation solutions to improve deployment consistency and operational efficiency.
Build self-service capabilities and automated workflows that reduce manual intervention and improve customer experience.
Monitor infrastructure performance, capacity, availability, and security, implementing proactive improvements and automated remediation where appropriate.
Participate in production support, incident response, root cause analysis, and problem management activities during business and non-business hours as required.
Create and maintain technical documentation, operational standards, runbooks, and engineering best practices.
Partner with Security, Networking, Cloud, Storage, Database, and Application Development teams to design scalable, resilient infrastructure solutions.
Continuously evaluate emerging technologies and recommend improvements that enhance operational efficiency, security, and platform capabilities.
Evaluate and use AI- and ML-enabled tools to improve infrastructure operations, in accordance with organizational governance and security standards.