Senior Enterprise Systems & Automation Engineer
Cloud · IAM · SaaS Platform Operations · AI-Assisted Engineering
I'm an enterprise systems and automation engineer with 10+ years building and operating cloud platforms, identity infrastructure, and SaaS tooling at scale. My core drive is simple: find the manual work, automate it away, and leave systems more reliable than I found them.
At Rithum, I own the full stack of platform and identity operations — from multi-account AWS infrastructure and Kubernetes environments to Okta/Entra ID lifecycle automation, Google Workspace administration, and cross-functional SaaS integrations. I treat every repeated task as a bug to be fixed.
On the enterprise systems side, I've administered Google Workspace at scale (1,000+ user organizations) for over a decade — progressively automating provisioning through Admin SDK integrations, Python, and PowerShell rather than manual admin console work. I've administered Slack identity integrations and API-driven workflows including SAML SSO, SCIM provisioning via Okta, and HRIS attribute sync, and integrated the ADP Workforce Now API to eliminate HR-to-IT handoffs. When a product doesn't have native integration support, I build it with their API.
I use Claude, GitHub Copilot, and Cursor daily to write better code faster, generate runbooks, accelerate IaC development, and cut through operational complexity — including deploying Model Context Protocol (MCP) servers to connect Claude to internal tooling and APIs.
AI tooling is part of my regular engineering workflow — IaC generation, incident runbooks, script review, documentation, and troubleshooting support. I use it to move faster and produce better-documented, more consistent work.
Deep expertise across cloud, identity, automation, and AI tooling — with a focus on service ownership and operational leverage.
Hands-on work at the intersection of AI tooling, identity automation, and platform engineering.
Built a custom Model Context Protocol (MCP) server using AI-assisted development — wrapping internal APIs to enable Claude to query operational data directly. Demonstrated how natural language can serve as an interface to existing tooling without requiring a full platform build.
Integrated Claude and GitHub Copilot into the Terraform and IaC development workflow for module scaffolding, security validation, and documentation generation — compressing the time from requirements to first working draft and improving consistency and inline documentation coverage across module patterns.
Established an AI-assisted workflow using Claude and Cursor to convert incident post-mortems and tribal knowledge into structured runbooks, escalation playbooks, and onboarding guides. Improved operational knowledge coverage for platform and IAM systems with significantly less engineering time than manual authoring.
When ConductorOne lacked native IaC support, built a custom solution using the ConductorOne API and scripting to define, deploy, and version-control IGA resources as code. Enabled self-service access to privileged systems — reducing access provisioning lead time from weeks to seconds and significantly cutting IT ticket volume from Engineering teams.
Open to senior platform engineering, enterprise systems, and SaaS automation roles — especially where AI tooling, IAM depth, and operational leverage matter.