
Connor Boos
Senior Test Engineer
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About
Senior Test & Systems Engineer with 10+ years of software engineering experience and 5+ years specializing in automation, system validation, and diagnostics across distributed and hardware-integrated environments. Proven ability to design automated test frameworks, troubleshoot complex system issues using logs and telemetry, and support production, lab, and field systems. Experienced in developing scalable test solutions, validating networked systems, and collaborating across engineering, product, and operations teams to ensure system reliability and quality.
Strong background in Python-based automation, CI/CD pipelines, and system-level testing with exposure to hardware/software integration workflows and structured test environments.
Experience
Senior Software Engineer / Automation Lead at Scheme (2025-01 – Present)
- Designed and implemented automated test frameworks and system validation tooling for a full-stack AI platform
- Developed Python-based automation scripts to validate backend services, APIs, and distributed system behavior
- Built and maintained CI/CD-integrated test pipelines (GitHub Actions, Docker) supporting regression, integration, and system-level testing
- Performed root cause analysis using logs, telemetry, and system metrics to diagnose and resolve production issues
- Validated networked service communication (REST APIs, authentication flows, request/response behavior) across distributed environments
- Collaborated with engineering teams to improve testability, observability, and system reliability, contributing to design reviews and defect resolution
- Created tooling to simulate real-world usage scenarios and support pre-release system validation under production-like conditions
- Documented test procedures, workflows, and system behaviors to support cross-functional teams
Senior Engineer at Logitix (2024-01 – 2025-01)
- Developed automated test coverage for web-based systems, including integration and API validation workflows
- Built regression and integration test suites and integrated them into CI/CD pipelines
- Performed database validation and reconciliation using SQL Server and Snowflake
- Supported release validation and system readiness, identifying and resolving defects prior to deployment
- Collaborated with cross-functional teams to ensure system quality and stability
Senior Engineer at News Corp (2022-01 – 2025-01)
- Built automated validation systems for large-scale data platforms, ensuring data integrity and system reliability
- Developed Python-based tools to validate data pipelines and distributed processing systems
- Performed system-level validation and troubleshooting across cloud-based infrastructure (GCP)
- Supported CI/CD workflows and automated testing pipelines
Senior Test Engineer at Seeing Machines (2020-01 – 2024-01)
- Developed automated testing and validation solutions for sensor-driven eye-tracking and recognition systems
- Performed system-level validation of hardware-integrated software, ensuring accuracy and performance
- Built Python-based tools to validate data pipelines and real-time system outputs
- Conducted diagnostic analysis and troubleshooting of system behavior across environments
- Supported validation workflows in AWS environments and CI pipelines
Lead Engineer at Faro Technologies (2020-01 – 2021-01)
- Led automation strategy supporting hardware-integrated measurement and scanning systems
- Developed validation frameworks for system outputs and data accuracy
- Collaborated with engineering teams to improve test coverage, system validation, and product quality
- Mentored engineers on test design, automation, and validation methodologies
Visualization Engineer at Ultimate Knowledge Institute (2020-01 – 2024-01)
- Built validation and testing solutions supporting data-intensive systems and government projects
- Used Python and Azure to validate data pipelines and system outputs
- Conducted frontend and system-level testing using Selenium
- Supported CI workflows and cloud-based execution environments
Education
Master of Science (M.S.) in Data Science – Johns Hopkins University (2024-01)
Bachelor of Science (B.S.) in Computer Science – Marquette University


