Sr. TSaaS Performance & Quality Engineer

VITRONIC Machine Vision; Maryland; On-site; USD 120,000 - 170,000; Full time

Job summary

VITRONIC Machine Vision is seeking a Senior TSaaS Performance & Quality Engineer to own operational quality, performance, and optimization for Traffic Safety as a Service programs after deployment.

You’ll act as the operational intelligence lead, using observability, analytics, AI-assisted insights, and engineering expertise to identify trends, investigate root causes, and drive continuous improvement across the enforcement lifecycle.

Qualifications

• Degree in Engineering, Information Technology, Operations, Quality Management, or equivalent practical experience.
• Minimum 3 years' Experience in technical operations, service assurance, quality management, service performance management, field operations, managed services, or production support.
• Ability to analyze operational data and turn findings into practical corrective actions.
• Experience with monitoring tools, dashboards, ticket data, service reports, incident records, operational KPIs, or production metrics.
• Understanding of service availability, operational risk, customer impact, escalation paths, and production readiness.
• Strong ability to work across multiple technical teams while keeping ownership clear.
• Strong written communication skills and ability to summarize technical issues in clear operational language.

Responsibilities

• Monitor the health and performance of production TSaaS environments using existing dashboards and observability platforms.
• Identify anomalies, emerging trends, and operational risks before they impact customers.
• Leverage AI and analytics to enhance trend detection, predictive insights, and operational decision making.
• Lead root cause investigations and coordinate technical resources to resolve identified issues.
• Assign work to the appropriate operational teams while tracking issues through resolution.
• Evaluate camera image quality, capture rates, detection performance, SLA compliance, and revenue protection metrics.
• Recommend system, workflow, camera configuration, and product improvements based on operational data.
• Support customer meetings, executive business reviews, operational audits, and continuous improvement initiatives.

Skills

Observability

Data analysis

Root cause analysis

Cross-team collaboration

AI-assisted analytics

Dashboarding

Monitoring tools

Operational KPIs

Communication

Education

Engineering or IT or Operations or Quality Management degree

Tools

Grafana

SQL

CMON

Job description

VITRONIC Machine Vision is the world's leading innovation driver for industrial image processing and automated traffic enforcement equipment. VITRONIC develops specialized products and software for image-based quality inspection, identification, and process optimization.

VITRONIC's forward-looking solutions help shape a safe and sustainable world. The limits of what is feasible are constantly being questioned to achieve the highest quality and productivity for companies in automotive, healthcare, transportation, automation, and logistics. Collaboration with our customers allows them to fully exploit technological capabilities and process efficiencies. Joint success forms the basis of long-term relationships with companies and counties like Montgomery County, BMW, Daimler, DHL, UPS, Toll Collect, Fresenius, and Sanofi, as well as public sector clients.

Since its foundation in 1984, VITRONIC has consistently grown, with operations on five continents, over 80 countries, and approximately 1,300 employees. VITRONIC systems are developed and produced at the company headquarters in Wiesbaden, Germany.

VITRONIC North America is headquartered in Louisville, KY.

Position Overview

The Senior TSaaS Performance & Quality Engineer is responsible for the operational quality, performance, and continuous optimization of Traffic Safety as a Service (TSaaS) programs after deployment. This role serves as the operational intelligence lead for customer programs, using observability, analytics, AI-assisted insights, and engineering expertise to identify performance trends, investigate root causes, coordinate corrective actions, and drive continuous improvement across the entire enforcement lifecycle.

What You'll Own

• End-to-end observability of TSaaS programs from camera detection through citation processing, payment, and reporting.
• Performance monitoring for cameras, edge devices, cloud applications, integrations, and operational workflows.
• Root cause analysis for operational issues affecting system performance, image quality, capture rates, uptime, and customer SLAs.
• Program optimization recommendations including camera performance, workflows, dashboards, AI-driven trend analysis, and operational improvements.
• Customer performance reviews, executive reporting, and technical recommendations.
• Coordination with Cloud Operations, Network & Identity, Implementation, Field Services, Product, Development, and customer stakeholders.

Key Responsibilities

• Monitor the health and performance of production TSaaS environments using existing dashboards and observability platforms.
• Identify anomalies, emerging trends, and operational risks before they impact customers.
• Leverage AI and analytics to enhance trend detection, predictive insights, and operational decision making.
• Lead root cause investigations and coordinate technical resources to resolve identified issues.
• Assign work to the appropriate operational teams while tracking issues through resolution.
• Evaluate camera image quality, capture rates, detection performance, SLA compliance, and revenue protection metrics.
• Recommend system, workflow, camera configuration, and product improvements based on operational data.
• Support customer meetings, executive business reviews, operational audits, and continuous improvement initiatives.

Technical Environment

• Grafana and operational observability dashboards
• Traffic enforcement cameras and edge systems
• Billien, PSOP, CMON and related operational applications
• SQL and data analysis tools (preferred)
• AI-assisted analytics and reporting platforms
• Public safety and CJIS-aligned environments

Minimum Qualifications

• Degree in Engineering, Information Technology, Operations, Quality Management, or equivalent practical experience.
• Minimum 3 years' Experience in technical operations, service assurance, quality management, service performance management, field operations, managed services, or production support.
• Ability to analyze operational data and turn findings into practical corrective actions.
• Experience with monitoring tools, dashboards, ticket data, service reports, incident records, operational KPIs, or production metrics.
• Understanding of service availability, operational risk, customer impact, escalation paths, and production readiness.
• Strong ability to work across multiple technical teams while keeping ownership clear.
• Strong written communication skills and ability to summarize technical issues in clear operational language.

Preferred Qualifications

• Experience with automated enforcement, ALPR/ANPR, camera systems, image-based workflows, smart city systems, public safety technology, ITS, or distributed sensor systems.
• Experience in managed service environments where uptime, compliance, customer trust, and reporting matter.
• Experience working with municipal, government, law enforcement, or public-sector customers.
• Familiarity with production readiness, incident/problem management, quality control, auditability, and regulated service operations.