Todd Conner

Senior Quality Engineer | Automation & Cloud | CI/CD | Playwright | Web & API Testing | SQL | JSON | AI-Powered SaaS Builder | PMP | Remote Preferred | Open to Hybrid

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Summary

Senior Quality Assurance Engineer specializing in API-first automation, CI/CD-integrated validation, and cloud-based test execution. Modernizes legacy QA processes into scalable, automated pipelines using Python, Playwright, and GitHub Actions. Known for reducing regression cycles from days to hours and improving release confidence through risk-based, data-driven testing. A collaborative partner who translates requirements into targeted test coverage that improves release confidence.

Software Quality Engineering & Automation Skills

Automation & Test Engineering

  • Test Automation Design
  • Automation Framework Foundations
  • Playwright & Selenium (Foundational)
  • Python-Based API Automation
  • Postman Collections & Scripts
  • Page Object–Style Test Organization
  • Data-Driven Testing
  • Reusable Test Helpers & Utilities
  • Automation Debugging & Refactoring

Quality Engineering Practices

  • Quality Strategy & Ownership
  • Risk-Based Testing
  • Release Readiness & Go/No-Go Assessment
  • Shift-Left Testing (Early API & Requirement Validation)
  • Functional & Regression Testing
  • User Acceptance Testing (UAT)
  • End-to-End Workflow Validation
  • Exploratory Testing
  • UI & UX Validation
  • Cross-Browser & Cross-Platform Testing (Web + Manual Mobile)

CI/CD, Cloud & DevOps

  • Pipeline Troubleshooting & Observability
  • Cloud Platforms (AWS & GCP Applied Projects)
  • Infrastructure as Code (Terraform – Applied Projects)
  • Orchestration (K8 – Applied Projects)
  • Configuration (Ansible – Applied Projects)
  • Monitoring (Prometheus – Applied Projects)
  • Jenkins (Dockerized Pipelines)
  • GitHub Actions (Workflow-Driven CI)
  • Docker Fundamentals
  • CI-Integrated Test Execution
  • Release Verification & Validation
  • Environment Configuration & Consistency (Project-Level)

API & Backend Testing

  • REST API Testing
  • API Contract & Payload Validation
  • Schema & Field-Level Validation
  • Python (requests)–Based API Automation
  • Postman Collections & Test Scripts
  • JSON & XML Validation
  • Error Handling & Failure-Path Testing
  • Backend Data Integrity & Transaction Validation (SQL)

Programming & Scripting

  • Python (API Automation, Test Utilities)
  • SQL for Data Validation
  • JavaScript (Test Scripts & UI Validation)
  • HTML & CSS (DOM Inspection & UI Validation)
  • Bash and Shell scripting

Tools & Test Management

  • Jira (Defect Tracking & Workflow Management)
  • Git (CLI-Based Version Control)
  • Confluence (Requirements & Test Documentation)
  • Zephyr (Test Case Management & Execution)
  • TestRail (Working Familiarity)
  • VS Code (Primary IDE) & PyCharm
  • IntelliJ (Working Familiarity)

Domain & Advanced Capabilities

  • Manual Mobile Testing (iOS & Android)
  • Analytics & Event Validation (API/UI-Level)
  • Authentication & Authorization Testing
  • Security-Aware Testing (Data Access, Roles, Failure Paths)
  • Failure-Scenario & Negative-Path Validation
  • Regulated & High-Trust Systems (Telecom & Enterprise Platforms)
  • AI-Assisted Testing (Test Ideation & Result Analysis)

Professional Experience

Quality Assurance Software Engineer (Remote) — Diversociete

05/2025 – Present • Atlanta, GA

Diversociete is a boutique e-commerce company that designs and operates digital platforms enabling customers to discover curated products, place secure online orders, and receive a seamless shopping experience through integrated web and backend systems.

Tech Stack: Playwright, Python, JavaScript, Postman, REST APIs, JSON, SQL, GitHub Actions, Docker, AWS, GCP, Git, Jira

  • Took end-to-end ownership of quality for assigned services, working closely with engineering and product teams from design through production to assess risk, align on test approach, and ensure releases were truly ready to ship.
  • Partnered closely with developers and product leaders during refinement, triage, and fix validation, resolving most defects within the same sprint and reducing reopen rates.
  • Refactored regression testing to focus on highest-traffic merchant and buyer journeys, shrinking full regression cycles from multiple days to a focused one-day run without increasing post-release defects.
  • Built and expanded automated testing using JavaScript, Python, Playwright, and Postman to cover core e-commerce workflows like storefront setup, checkout, payments, and order management, across continuous feature delivery.
  • Led API and integration testing across catalog, inventory, pricing, payment, and fulfillment services by validating JSON payloads, business rules, and failure paths, catching defects before they surfaced in the UI or merchant experience.
  • Integrated automation directly into CI/CD pipelines with GitHub Actions and cloud runners, cutting release validation from roughly two days of manual effort to same-day approval for standard production releases.
  • Applied AI-assisted testing and result analysis to identify high-risk scenarios and recurring failure patterns, uncovering defects earlier and reducing late-stage testing pressure.

Network Engineering/Quality Assurance/Automation — T-Mobile

04/2015 – 04/2024 • Richmond, VA

T-Mobile is a global technology and telecommunications company that designs, builds, and operates large-scale web, mobile, and API-driven platforms supporting customer applications, backend services, and data systems with a strong focus on performance, reliability, and scalability.

Tech Stack: KPI analysis (RSRP, SINR, throughput), JSON, APIs, Python, Postman, MySQL, REST APIs, Linux/CLI, distributed systems, cross-service debugging

  • Applied KPI driven quality analysis to identify systemic issues in distributed network services and to validate the impact of infrastructure changes.
  • Supported DevOps workflows by validating environment consistency, ensuring provisioning APIs, backend services, and data pipelines behaved predictably across test, staging, and production environments.
  • Coordinated quality readiness for network and backend deployments, ensuring controlled rollouts, accurate post deployment validation, and minimal customer impact across large scale systems.
  • Designed SQL based data integrity checks to validate subscriber records, usage counters, and rating logic across backend data stores, improving reliability of cloud connected provisioning systems.

Education

Certifications