Bob Ulrich

Remote

• › Independently built an autonomous Mastra agent workflow that triages, classifies, and provides root cause analysis for pipeline and code failures surfaced by existing engineering systems, supporting engineering teams 24/7.
• › Leading the build and pilot of an autonomous engineering pipeline with engineering teams, extending AI adoption into team engineering workflows.
• › Established a repeatable way to evaluate AI code reviews against thousands of production pull requests. Calibrated security, compliance, performance, and maintainability checks; retrospective testing demonstrated incident-prevention potential.
• › Cut team incident debugging from minutes to seconds by turning approximately 9,800 lines of operational knowledge into reusable AI skills engineers can invoke directly.
• › Sustained 99%+ deployment success for an internal developer platform supporting 300+ services across commercial and FedRAMP GovCloud environments. Fixed false deployment rejections in concurrent Terraform runs through AWS Step Functions orchestration.
• › Freed 300+ services from change-moratorium constraints by leading the organization's GitHub Enterprise migration.
• › Replaced intuition-based alert thresholds with SLO standards calibrated against 60 days of production data, making error budgets and Prometheus/Grafana alerts evidence-based.

Phoenix, AZ

• › Eliminated 90% of manual deployment toil on the Substrate Compute Data Plane team, replacing tmux and scripts with an Infrastructure as Code pipeline for a fleet of 10,000+ hypervisors.
• › Cut rollback incidents by 75% and reduced deployment errors to near-zero through deployment automation.

Seattle, WA

• › Reduced on-call escalations by 30% through incident trend analysis, automated runbooks, and removal of recurring operational toil.
• › Sustained 99.9%+ availability across QEMU/KVM infrastructure with iSCSI storage, supporting a compute fleet of 15,000+ hypervisors.

Redmond, WA

• › Made deployments 50% faster and lowered infrastructure costs by 30% through a Kubernetes migration.
• › Shortened release cycles from weeks to hours and increased deployment frequency 10x by building a CI/CD pipeline.
• › Cut production issue detection time by 60% with an EFK logging stack.

Redmond, WA

• › Improved deployment simplicity and service scalability through an Azure microservice migration for a storage platform serving hundreds of millions of users.

Redmond, WA

• › Maintained a 99.99% SLA for a service used by 100M+ monthly active users as part of the 24/7 reliability team.
• › Reduced catastrophic storage failures by 67% within 1 year through operational process improvements.
• › Eliminated storage communication failures across 10,000+ machines by resolving an HP miniport driver flaw.
• › Made farm-wide updates 3x faster and reduced manual certificate work by 80%, eliminating certificate expiration incidents.

Redmond, WA

• › Made SSL handshakes 50% faster across 4,000+ servers through a load balancer migration with hardware SSL offloading.
• › Reduced manual configuration time by 90% through automation scripts.

Portland, OR

• › Preserved 100% uptime and prevented data loss during an M&A migration of Active Directory and Exchange.
• › Cut WAN costs by 25% and raised branch uptime to 99.5% through Cisco ASA upgrades.
• › Reduced software deployment time by 80% across 50+ branch offices with SCCM.

Bellevue, WA

• › Improved network performance by 40% through Cisco Catalyst upgrades and VLAN segmentation; supported 500+ users across 10+ offices with a 95%+ ticket resolution rate.