Senior IT Systems Engineer

Role Overview

• Own the IT stack end-to-end: Manage and optimize our SaaS ecosystem (Google Workspace, Okta, Slack, Zoom, Jira/Linear, GitHub, etc.), endpoint fleet (macOS-primary), and networking/security infrastructure.
• Be the fixer: Triage and resolve any and all workplace technology problems—from access issues and hardware failures to complex integration bugs. No problem is beneath you, and no problem is too hard.
• Automate relentlessly: Build scripts, workflows, and integrations that eliminate manual toil. Leverage AI tools and LLMs to streamline IT operations, ticket triage, onboarding/offboarding, and day-to-day support.
• Drive AI adoption internally: Evaluate, pilot, and roll out AI-powered tools to boost productivity across the company. Be a champion for responsible AI use and help shape our internal AI policies and best practices.
• Manage identity and access: Administer identity providers, SSO, MFA, and access governance—and yes, dogfood ConductorOne’s own platform to manage access across our environment.
• Scale for growth: Design and implement IT processes, policies, and infrastructure that scale as the company grows from ~100 employees and beyond.
• Secure our environment: Partner with the security team to harden endpoints, enforce compliance policies, manage MDM, respond to security events, and maintain a strong security posture.
• Support onboarding and offboarding: Ensure every new hire has a seamless day-one experience and every departure is handled securely and completely.
• Vendor management: Evaluate, negotiate, and manage relationships with technology vendors and service providers.

Requirements

• 7+ years of experience in IT systems engineering, infrastructure, or a related technical role, ideally in high-growth SaaS or technology companies.
• Deep expertise managing macOS fleets at scale (Fleet, Jamf, Kandji, or similar MDM).
• Strong experience with identity and access management platforms (Okta, Azure AD/Entra, Google Workspace Admin).
• Proficiency in scripting and automation (Go, Python, Bash, PowerShell, or similar) and a track record of building internal tooling.
• Solid understanding of networking fundamentals (DNS, DHCP, VPN, firewalls, Wi-Fi) and cloud infrastructure (AWS, GCP, or Azure).
• Experience administering and integrating a broad SaaS portfolio across an organization.
• Excellent troubleshooting skills and a bias for action—you don’t wait for someone else to fix it.
• Strong communication skills; able to explain complex technical topics to non-technical stakeholders.
• Demonstrated interest or hands-on experience with AI/ML tools, LLMs, or AI-powered IT operations (AIOps). This could range from using Copilot/ChatGPT in your daily workflow to building AI-driven automation pipelines.
• Eagerness to experiment with emerging AI technologies and apply them to real-world IT problems.
• Comfort evaluating AI tools for security, privacy, and enterprise readiness.
• Bonus: experience with AI agents, MCP (Model Context Protocol), retrieval-augmented generation (RAG), or building internal AI assistants.
• Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation).
• Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMPz, GDPR) and audit processes.
• Prior experience in an identity security or cybersecurity company.
• Contributions to open-source projects or community involvement.
• Experience with ConductorOne or similar identity governance platforms.

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• DNS
• Firewalls
• Google Cloud Platform
• Jamf
• MacOS
• Python
• Terraform
• Go

Benefits

• Competitive compensation: Competitive salary, equity, comprehensive benefits, and the flexibility of a hybrid/remote-first environment.