IT Systems Engineer

Rinsed•New York, NY

4h•$135,000 - $148,000

About The Position

The IT Systems Engineer manages and secures the systems, access, and devices that support the business. This person provides technical support to employees, administers identity, device, and SaaS tools, and collaborates across teams to design and implement solutions aligned with company goals. The role also helps shape IT, security, and AI practices, supporting employees in using AI effectively while improving system scalability and security. Responsibilities span day-to-day IT operations, employee onboarding and offboarding, administration of identity and productivity systems, laptop fleet management, vendor and SaaS oversight, and maintenance of IT documentation. The engineer also executes and evidences controls for PCI DSS Level 1 and SOC 2, supports compliance and incident response, and assists with security reviews and basic networking needs. The role leads hands-on AI enablement, including training and identifying useful applications across teams. It also builds and maintains internal AI tools and agents, manages secure connections to company systems, contributes to AI governance, and tracks adoption and impact. The estimated annual cash salary is $135,000–$148,000, with an annual bonus component. The position is also eligible for incentive stock options, subject to applicable Rinsed plans. Compensation may vary based on location, skills, qualifications, and experience.

Requirements

Bachelor’s degree in Information Technology, Computer Science, or a related field, or equivalent experience.
Hands-on experience administering identity and access tools such as Okta and Google Workspace.
Experience managing devices through an MDM.
Practical experience using AI tools such as Claude or ChatGPT to accomplish work, and enthusiasm for helping others do the same.
Strong troubleshooting skills and ability to resolve technical challenges independently.
Excellent communication and problem-solving skills, with a team-focused mindset.

Nice To Haves

Experience supporting compliance programs such as PCI DSS or SOC 2 and contributing to security-focused projects.
Experience building automations or AI workflows using APIs, scripting, Zapier, or LLM tools.
Familiarity with tools such as Addigy, Oneleet, Trelica, or Guru.
Experience with incident response or security tooling.
Foundational networking knowledge, including configuring and troubleshooting networks, VPNs, and basic firewall settings.

Responsibilities

Run day-to-day IT support, triaging and resolving requests through the helpdesk and ticketing system.
Manage employee onboarding and offboarding, including account provisioning, access changes, and same-day deprovisioning.
Administer identity, productivity, and SaaS management tools, including Okta SSO/MFA/SCIM, Google Workspace, Slack, and 1Password.
Manage the laptop fleet through MDM, including encryption, patching, configuration, and device lifecycle.
Maintain the IT knowledge base.
Manage IT vendor relationships and oversee SaaS spending and licenses.
Execute and document IT controls for PCI DSS Level 1 and SOC 2, including access reviews, device compliance, and policy acknowledgments.
Maintain compliance tooling and close monitoring findings on schedule.
Support security incident response, including device scans, account lockdowns, and evidence collection.
Help respond to security questionnaires, cyber insurance applications, and vendor security reviews.
Support basic networking and DNS needs alongside Engineering.
Lead company-wide AI enablement by developing training, running sessions and lunch-and-learns, and maintaining a library of prompts and use cases by team.
Partner with Customer Success, Sales, Support, and other teams to identify high-value AI use cases and implement quick wins.
Build and maintain internal AI-powered tools and agents, such as support triage, first-reply drafting, internal Q&A, and workflow automation.
Connect AI tools to company systems while managing connectors, permissions, and data access safely.
Help define and enforce AI governance, including approved tools, acceptable use, data handling, and vendor review in alignment with PCI and SOC 2 requirements.
Track AI adoption and impact.