Data Engineer – AI Value & DX Platform

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Assist in the selection of pilot teams and establish an AI value measurement framework.

• Define success metrics and measurement criteria for AI adoption, including usage intensity, time savings, lead time, quality impact, and ROI.

• Set up and configure the DX platform, incorporating SSO/identity integration and the permission model.

• Integrate the DX platform with GitLab, CI/CD, ticketing, and identity/SSO systems.

• Incorporate usage and telemetry data from AI tools, such as GitHub Copilot usage data / Copilot Metrics API.

• Configure teams, hierarchies, and data models within the DX platform.

• Establish and validate identity and team mapping among AI tools and delivery systems.

• Connect AI-related metrics with relevant cost data.

• Set up DX AI Measurement Framework surveys and collect system-side data.

• Establish baseline measurements prior to and following the expansion of AI usage.

• Analyze the impact of AI on quality metrics, including change failure rate, review effort, rework, and security findings.

• Ensure data quality, consistency, and completeness through error analysis and corrections.

• Implement requirements for data anonymization, aggregation, and minimization.

• Differentiate AI usage measurement from individual performance measurement.

• Develop dashboards, reports, and exports for result analysis and ROI evaluation.

• Identify effective AI use cases and obstacles to adoption.

• Support enablement initiatives and future scaling and licensing strategies.

• Prepare technical documentation and estimate future scaling efforts and resource needs.

⛳️ Requirements

• Experience with the implementation of the DX platform is not explicitly mentioned.

• Experience in integrating GitLab, CI/CD, ticketing, and identity/SSO systems is not explicitly mentioned.

• Experience with GitHub Copilot usage data / Copilot Metrics API is not explicitly mentioned.

• Capability to configure teams, hierarchies, and data models within the DX platform.

• Ability to establish identity and team mapping across AI tools and delivery systems.

• Proficiency in analyzing quality-related metrics, including change failure rate, review effort, rework, and security findings.

• Knowledge of technical requirements for anonymization, aggregation, and data minimization.

• Ability to create dashboards, reports, and exports.

• Capability to prepare technical documentation and estimate scaling efforts and resources.

🏝️ Benefits

• You are valued as an individual; our doors are always open.

• A strong sense of team spirit at Qualysoft.

• Commitment to transparency.

• We welcome fresh ideas and new perspectives.

• Opportunities for continuous learning.

• A foundation built on honesty, growth, and stability.

• Opportunities to learn the latest technologies.