Systems Engineer

This role is responsible for designing, deploying, and maintaining enterprise IT systems while driving automation initiatives that reduce manual effort and improve operational reliability. The position blends traditional systems engineering with a strong automation and scripting focus, and increasingly incorporates AI-enabled tools to support monitoring, troubleshooting, and decision-making - all while ensuring automation and AI usage align with security, compliance, and governance standards.

What You''''ll Do

Systems Engineering

• Design, deploy, and support enterprise IT systems across cloud, SaaS, and hybrid infrastructure, including endpoint management via Jamf Pro (macOS) and Microsoft Intune (Windows)
• Maintain system uptime, performance, scalability, and security
• Drive root cause analysis and implement durable, automated fixes rather than one-off patches
• Keep documentation, architecture diagrams, and operational runbooks current

Automation

• Build automation for infrastructure provisioning/configuration, identity lifecycle management (onboarding/transfers/offboarding), patch management and compliance, and monitoring/alerting/remediation
• Develop and maintain scripts and orchestration workflows using PowerShell, Python, APIs, and workflow platforms
• Create event-driven and self-service automation to cut down on manual IT tickets and intervention
• Connect automation across endpoint, identity, cloud, and security platforms
• Build in automated enforcement of security, compliance, and AI governance controls
• Develop workflows that validate configurations, permissions, and data handling before AI-driven processes run
• Embed governance checks directly into provisioning, monitoring, and remediation automation

AI-Enabled Operations

• Apply AI tools to improve operations - automated log analysis and troubleshooting, anomaly detection, proactive alerting, and intelligent remediation recommendations
• Evaluate and pilot emerging AI technologies to reduce operational toil and support faster decision-making
• Partner with the Cybersecurity team to use AI for proactive risk detection and response
• Ensure all AI-enabled tooling is deployed in line with internal AI governance and security standards
• Balance innovation with risk management by building compliance and auditability into AI-driven workflows
• Work with Cybersecurity to monitor AI system behavior for misuse, drift, or anomalies

Monitoring & Support

• Track system health, performance, and the impact of automation initiatives
• Build dashboards and reports for operational visibility
• Act as an escalation point for complex systems and automation issues

What Success Looks Like

First 30 days: Ramp up on the company''''s systems architecture, tooling, and existing automation; build relationships across IT, Cybersecurity, and the business; start contributing to active work right away; flag early opportunities for improvement or automation.

First 3 months: Develop a solid grasp of infrastructure and dependencies across cloud and on-prem environments; establish trust as a reliable technical contributor; identify manual/inefficient processes worth automating; begin shipping automation improvements; contribute to documentation and best practices.

First year: Become a recognized contributor to the company''''s automation and systems engineering capability; have multiple automated workflows live that improve reliability, speed, and consistency; use AI tools to enhance monitoring and troubleshooting; help shape AI governance controls and translate them into enforceable, auditable configurations; operate proactively, preventing issues rather than reacting to them.

• 5+ years in systems engineering, infrastructure, or IT operations
• Strong scripting/automation background - PowerShell required, Python strongly preferred
• Demonstrated experience automating enterprise IT processes and workflows
• Hands-on experience managing macOS and/or Windows endpoints via Jamf Pro and/or Microsoft Intune
• Solid working knowledge of both Windows and macOS environments
• Experience with cloud platforms and SaaS environments
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Experience with AIOps or other intelligent monitoring platforms
• Experience with Azure, Entra ID (Azure AD), Okta, or identity automation
• Familiarity with infrastructure-as-code (Terraform, ARM templates, etc.)
• Experience integrating automation with security tooling (EDR, SIEM, IAM)
• Relevant certifications (Microsoft, cloud, automation, or security)
• Experience supporting or implementing AI, automation, or data governance controls
• Familiarity with privacy/compliance considerations tied to AI and automation
• Experience translating governance or policy requirements into enforced technical controls