Systems Engineer, Endpoint & Automation

Evolv Technologies Inc.•Waltham, MA

6h•Hybrid

About The Position

Evolv is on a mission to make public spaces safer through innovative security technology — and our IT team is a key part of how we scale that mission. You'll be joining a tight-knit team of ~8 IT and cybersecurity professionals who move fast, trust each other, and take pride in building systems that just work. As our Systems Engineer, Endpoint & Automation, you'll design, implement, and continuously improve automated IT systems and workflows across our enterprise environment — including our macOS and Windows endpoint fleet managed through Jamf Pro and Microsoft Intune. You'll reduce operational friction by automating infrastructure, identity, endpoint, and operational processes, and leverage AI‑enabled tools to improve reliability, security, and efficiency. This isn't a role where you'll wait to be told what to build. You'll be expected to spot opportunities, propose solutions, and own the outcome. If you're passionate about automation, AI, and continuously raising the bar — for yourself and the systems you build — this is your role.

Requirements

5+ years of experience in systems engineering, infrastructure, or IT operations.
Strong experience with automation and scripting (PowerShell required; Python preferred).
Experience automating enterprise IT processes and workflows.
Experience managing macOS and Windows endpoints using Jamf Pro and/or Microsoft Intune
Solid understanding of Windows and Mac operating systems.
Experience with cloud platforms and SaaS environments.
Strong problem‑solving, analytical, and communication skills.

Nice To Haves

Experience with AI‑driven IT operations (AIOps) or intelligent monitoring platforms.
Experience with Azure, Entra ID (Azure AD), Okta, and identity automation.
Familiarity with infrastructure‑as‑code tools (Terraform, ARM, etc.).
Experience integrating automation with security tooling (EDR, SIEM, IAM).
Relevant certifications (Microsoft, cloud, automation, or security).
Experience supporting or implementing governance controls for AI, automation, or data platforms.
Familiarity with security, privacy, or compliance considerations related to AI and automation.
Experience translating policy or governance requirements into technical enforcement.

Responsibilities

Design, deploy, and maintain enterprise IT systems across cloud, SaaS, and hybrid environments, including endpoint management through Jamf Pro (macOS) and Microsoft Intune (Windows).
Ensure system availability, performance, scalability, and security.
Participate in root cause analysis and implement long‑term, automated fixes.
Maintain system documentation, architecture diagrams, and operational runbooks.
Design and implement automation for: Infrastructure provisioning and configuration, Identity lifecycle management (joiner/mover/leaver), Patch management and compliance, Monitoring, alerting, and remediation.
Develop and maintain automation using scripting and orchestration tools (PowerShell, Python, APIs, workflow platforms).
Build event‑driven and self‑service automation to reduce manual IT intervention.
Integrate automation across endpoint, identity, cloud, and security platforms.
Automate enforcement of security, compliance, and AI governance controls across IT systems.
Build workflows that validate configurations, permissions, and data usage before AI‑enabled processes execute.
Integrate governance checks into automated provisioning, monitoring, and remediation processes.
Leverage AI‑enabled tools to improve IT operations, including: Automated troubleshooting and log analysis, Anomaly detection and proactive alerting, Intelligent recommendations for remediation.
Evaluate and adopt emerging AI technologies to automate decision‑making and reduce operational toil.
Partner with Cybersecurity to apply AI for proactive risk detection and response.
Ensure AI‑enabled operational tools are implemented in alignment with Evolv’s AI governance and security standards.
Balance innovation with risk management by embedding compliance and auditability into AI‑driven workflows.
Collaborate with Cybersecurity to monitor AI system behavior and detect misuse, drift, or anomalous activity.
Monitor system health, performance, and automation outcomes.
Create dashboards and reports that provide operational visibility.
Serve as an escalation point for complex systems and automation issues.