Jacob Nollette

Candidate Value Proposition

jacob@jacobnollette.com 952-428-9199 Minneapolis, MN

Resume Cover Letter Executive Impact Profile

Platform and enterprise tooling engineer who turns slow, manual delivery into fast, secure, self-service systems — 8+ years building and operating production infrastructure, on a broader technology background spanning web, systems, and cloud work, across cloud-native SaaS, media/studio infrastructure, and an independently operated production-grade lab.

Core Value Pillars

  • Delivery Velocity

    Cut deployment time 96% — from full days to 13 minutes — across 15+ microservices at TSI by consolidating 15 discrete pipelines into a single trunk-based GitHub Actions/Jenkins pipeline with built-in scan and approval gates.

  • Security & Governance by Default

    Automated policy enforcement (JFrog X-Ray, SonarQube SAST), IAM/SSO/MFA governance across every cloud vendor, and OWASP-hardened public-facing infrastructure — security engineered into the platform, not bolted on afterward.

  • Enterprise Tooling, End to End

    Full-lifecycle implementation and administration of GitHub, GitLab, Atlassian (Jira/Confluence/Bitbucket), Retool, and JFrog Artifactory — taken from zero to production for cross-functional teams.

  • AI-Augmented Engineering

    Directs multi-agent engineering workflows (Claude, Codex, GitHub Copilot) in production — delegating implementation, reviewing output, and merging AI-assisted work to a production quality bar.

Signature Achievements

  • 96% Deployment time cut — to 13 min — across 15+ microservices
  • Zero Data loss recovering a production Ceph cluster from a failure-domain collision
  • 150+ Properties served by a self-built member portal
  • 8+ Years building and operating production platforms

Where I Fit Best

Teams where a single engineer or small platform team owns delivery end to end: modernizing CI/CD at a scaling SaaS or media/studio company, standing up enterprise tooling (GitHub, GitLab, Atlassian, Retool) from scratch, or responsibly introducing AI-augmented engineering workflows without sacrificing production quality.