Administrative​/Operations​/IT

Locations: Remote;
Hybrid;
New York, NY

Job Function: Administrative/Operations/IT

Posted on: May 13, 2026

We are looking for a reliable, technically versatile Systems Administrator to manage, maintain, and optimize the IT systems, cloud infrastructure, and internal tools that keep Locked In AI running smoothly every day.

This is a foundational operations role — you will ensure that every system the team depends on is secure, highly available, well-monitored, and capable of scaling alongside a platform serving over 1 million users worldwide.

As a Systems Administrator, you will own the health, stability, and security of Locked In AI’s infrastructure and internal systems.

Your responsibilities span cloud infrastructure, identity and access management, networking, SaaS tooling, endpoint administration, security hardening, monitoring, and incident response.

You are the person who ensures that everything “just works” — quietly preventing issues before they happen, and responding quickly when they do.

The ideal candidate is proactive, detail-oriented, and deeply reliable. You understand that strong infrastructure is what enables fast product development, stable AI systems, and seamless user experiences.

• Manage cloud environments (AWS, GCP, or Azure) including compute, storage, networking, and databases
• Monitor system health, performance, and resource utilization
• Handle provisioning, scaling, patching, and lifecycle management of servers and services
• Administer Kubernetes clusters and containerized workloads
• Maintain backup and disaster recovery systems
• Administer IAM policies across cloud and internal systems
• Administer SSO, MFA, and directory services
• Handle onboarding/offboarding of users and permissions
• Conduct access audits and enforce least-privilege principles
• Manage privileged and root access securely
• Manage VPCs, subnets, firewalls, VPNs, and networking configurations
• Administer DNS records, domains, and SSL/TLS certificates
• Maintain email systems, deliverability, and authentication (SPF, DKIM, DMARC)
• Troubleshoot network latency, connectivity, and routing issues
• Configure CDN and content delivery systems
• Manage company SaaS tools (Google Workspace, Slack, Notion, Jira, Git Hub, etc.)
• Track licenses, subscriptions, and renewals
• Administer endpoint devices and enforce security policies
• Maintain IT asset inventory across the organization
• Evaluate and onboard new tools as needed
• Implement system-level security hardening and patch management
• Manage EDR, antivirus, and endpoint protection tools
• Enforce security policies across systems and devices
• Support SOC 2, GDPR, and compliance initiatives
• Conduct regular system security audits
• Build and maintain monitoring and alerting systems
• Respond to production and internal system incidents
• Participate in on-call rotations for critical infrastructure
• Maintain runbooks and incident documentation
• Automate detection and remediation of recurring issues

At Locked In AI, we believe strong talent should be rewarded with competitive compensation, meaningful ownership, and an environment designed for high-impact work. Our structure is built to align individual success with company growth.

• Competitive base salary aligned with experience, skill level, and market benchmarks
• Performance-based compensation growth tied to impact and role expansion
• Annual compensation reviews based on contribution and organizational needs
• Early-stage equity in Locked In AI, providing long-term ownership in a high-growth AI company

• Every full-time role includes equity participation
• Opportunity to own a meaningful stake in a product used by over 1 million users worldwide
• Direct alignment between individual contributions and long‑term company value creation
• Remote‑first work model for US‑based roles
• Optional hybrid collaboration in New York, NY
• Flexible, outcome‑focused work culture with minimal bureaucracy
• High‑trust environment emphasizing autonomy and accountability

• Exposure to large-scale AI systems, real‑time infrastructure, and production‑grade engineering challenges
• Opportunity to grow into senior, lead, or specialized roles as the company scales
• Continuous learning environment with direct involvement in product and technical decision‑making

• Work on a platform actively used by over 1 million users globally
• Direct influence on real‑world career outcomes and AI‑driven user experiences
• Access to modern engineering, AI, and infrastructure tools at scale

• High‑ownership, execution‑driven team environment
• Strong collaboration between engineering, AI, product, and operations teams
• Fast‑paced shipping culture focused on real‑world impact
• Emphasis on clarity, responsibility, and measurable outcomes