Travis Bridle

Status: Open to FDE roles

AI engineer building production agents and AI-native infrastructure.

Currently DevOps Engineer II at Pax8 and founder of Respondyr, an AI-driven Google Business Profile review response platform for SMBs. Four years shipping production infrastructure. Daily Claude Code user. I build internal tools that other engineers actually adopt.

Principles

What I Build

  • 01 AI-in-the-loop production operations. Agents sit in the critical path of database upgrades, release gating, and customer-facing workflows.
  • 02 Internal AI tools other engineers choose to use. A Jira/Confluence MCP server I built solo is now part of 20 ICs' daily workflow.
  • 03 Multi-service infrastructure on Kubernetes. Go and Python services, pure GitOps via ArgoCD, multi-provider Terraform across AWS and Cloudflare.

Respondyr ↗

Founder & Engineer

AI-driven Google Business Profile review response automation for SMBs. Multi-service architecture (Go and Python) on AWS EKS, pure GitOps via ArgoCD, multi-provider Terraform across AWS and Cloudflare. The marketing engine runs as its own AI workflow with agent fallback, sending 100,000 personalized emails per month.

OUTBOUND 100k emails / month
MAILBOXES 300 across 100 domains
FALLBACK Playwright MCP intake-form agent

Technical Spec

RuntimeGo / Python
OrchestratorAWS EKS
DeploymentArgoCD (GitOps)
IaCTerraform
LLM Gatewayapi-meter (internal)
ReasoningClaude + MiniMax 2.5

Pax8

DevOps Engineer II

2022 to Present. Promoted from Junior DevOps. SRE on-call rotation 20%.

Impact at Scale

Internal AI Tooling

Built a Jira/Confluence MCP server in Python (15+ tools including JQL search and full-field updates on any issue or board). Solo project, adopted by 20 ICs daily.

AI-in-the-Loop Ops

Architected Aurora Postgres upgrade automation across ~60 instances. AI watcher monitors RDS and application logs, scales pods around upgrades, batches blue/green in groups of four. 10x engineering-time reduction at equivalent downtime.

Migration

Co-led zero-downtime Kafka to AWS MSK migration. 2,000 topics across 52 services. Dual-write replication with Helm-driven per-service cutover.

Release Automation

Shipped opt-in GitHub Actions auto-release pipeline. Organic adoption driven by a slick process; eventually mandated org-wide as foundation for AI-agent-driven releases. Hundreds of deploys / week.

Container Security

Weekly-rebuilt golden image pipeline + Wiz scan integration. Org banned public base images post-rollout. Migrated 400 repositories to non-root containers, 100% patched via scripted rollout.

Data Replication

Planned and executed migration of a toilsome self-managed Debezium pipeline to AWS DMS for CDC replication (monolith RDS to Redshift, ~50 GB/day). Off-loaded internal analytical reads from prod RDS.

Informal technical lead. Turns ambiguous asks into stakeholder-approved plans in about two days and recruits cross-team capacity without formal authority. People-first leadership: recognition over favoritism, performance rewarded, no toxicity.

System Inventory

Infrastructure
Terraform Helm ArgoCD Kubernetes
Cloud
AWS EKS Cloudflare k3s
Languages
Go Python TypeScript Bash
Data
Aurora Postgres Kafka Amazon MQ ElastiCache

Agentic Specifics

/api-meter

Internal LLM cost gateway proxying every paid provider call (Claude, OpenAI, others). Tracks spend per service. Enforces cross-provider rate limits.

/orchestration

Multi-model orchestration in production agents. Claude for tool use, MiniMax 2.5 for reasoning. ZeroClaw framework.

/mcp-patterns

MCP server design patterns. Tool granularity, idempotent operations, query languages (JQL) exposed as first-class search primitives.

Start a conversation

Montrose, CO. Open to remote and frontier-lab on-site.