Andrew Jenkins

Senior Test Automation Engineer | AI-Powered Developer Tools

Building high-leverage platforms that eliminate toil and multiply team productivity

AI Test Automation Platform

Built conversational IDE with RAG and AWS Bedrock, transforming test creation through human-in-the-loop AI workflows.

Test Framework Ecosystem

Built comprehensive E2E, API, and performance testing frameworks supporting release validation and continuous integration.

Build & CI/CD Infrastructure

8 years Jenkins/Docker expertise. Stabilized critical build infrastructure during org-wide crisis, leading to dedicated DevOps team formation.

What I Build

I architect platforms that multiply team productivity—from AI-powered test generation and analytics dashboards to CI/CD infrastructure and developer tooling. Whether stabilizing critical build systems, building intelligent automation, or creating force-multiplier tools, I focus on eliminating toil and enabling teams to work faster.

AI Test Automation

  • Production RAG systems with domain-specific context
  • Conversational IDEs enabling natural language workflows
  • Potentially reducing test creation time by >50%

Test Infrastructure & CI/CD

  • Build system stabilization preventing org-wide paralysis
  • CI/CD optimization (2+ hours to 45 minutes)
  • Framework migrations completing stalled initiatives

Developer Productivity Tools

  • Full-stack analytics platforms (Angular, Django, MongoDB)
  • Custom IDE extensions and developer tooling
  • Intelligent search engines democratizing access

Strategic Leadership

  • Monthly roadmap presentations to VP Eng/CTO (12+ months)
  • Led E2E Reliability Meeting for 2 years (training & mentoring)
  • Troubleshooting Playbook author & knowledge codification

What I'm Building Next

Pushing the boundaries of AI-powered developer productivity and platform engineering.

AI-Powered Test Automation Platform

Foundational Phase Complete | Scaling to Team Adoption

Built a conversational IDE leveraging Claude Code with human-in-the-loop workflows. Engineers describe what they want to test in natural language, and the system generates framework-compliant, domain-aware tests using skills, commands, and context management. Application complete—now implementing dual-search RAG (production + branch-only changes) and driving adoption.

Core Capabilities:

  • • 4-step conversational workflow (plan → setup → record → integrate)
  • • RAG knowledge base: ~300 data load scripts indexed
  • • Playwright MCP integration with Anthropic Haiku for test recording
  • • Planned: Dual-context search (production + branch-only changes)
AI Test Generation System: Engineer uses conversational IDE powered by AWS Bedrock with Claude, routed through sub-agents for data setup, test generation, and framework integration, with RAG system accessing production and branch context
View Mermaid Source
graph TB
    subgraph "User Interface"
        A[Engineer] -->|Natural Language Request| B[Conversational IDE<br/>Claude Code SDK]
    end

    subgraph "AI Platform Core"
        B --> C[Sub-Agent Router]
        C --> D[Data Setup Generator<br/>Clinical trial test data]
        C --> E[Test Generator<br/>Playwright test logic]
        C --> F[Test Integrator<br/>Framework compliance]
    end

    subgraph "Knowledge Base - RAG System"
        G[(Production Context<br/>Django Models<br/>Test Patterns)]
        H[(Branch Context<br/>Local Changes)]
        I[Context Engine<br/>Domain-specific retrieval]
    end

    D --> I
    E --> I
    F --> I
    I --> G
    I --> H

    J[Generated Tests<br/>✓ Framework compliant<br/>✓ Domain aware<br/>✓ >50% time reduction] --> K[IMPACT<br/>80% faster test creation<br/>Experimental Phase]

    D --> J
    E --> J
    F --> J

Early Results:

  • • Potentially reducing test creation time by >50%
  • • Generates data setup + test logic + framework integration
  • • Currently in experimental validation phase
  • • Team members onboarding to the platform
Python RAG AWS Bedrock Claude Playwright LLM Agents

Strategic Leadership & Mentorship

Leading technical strategy, knowledge transfer, and team enablement through sustained organizational involvement.

Executive Communication

Monthly roadmap presentations to VP Engineering and CTO for 12+ months, defining automation strategy and aligning technical initiatives with business goals.

Team Training & Mentorship

Led E2E Reliability Meeting for 2 years, providing hands-on training, debugging guidance, and mentoring engineers on test automation best practices.

Knowledge Codification

Authored comprehensive Troubleshooting Playbook transforming tribal knowledge into institutional documentation that enables junior engineers to solve senior-level problems.

Let's Build Something Together

Currently Seeking:

Senior Test Automation Engineer positions where I can build AI-powered test automation tools and improve test infrastructure.

Location: San Diego, CA | 8 years fully remote | Open to remote-first companies