Manager, Modernization and AI Engineering

VontasCedar Rapids, IA
Onsite

About The Position

At Vontas, we build software that powers real-world transit operations across North America. Our platforms, including Computer-Aided Dispatch and Automatic Vehicle Location (CAD/AVL) systems, support agencies that keep cities moving every day. The Manager, Modernization and AI Engineering is a highly visible leadership role responsible for guiding multiple engineering teams through large-scale technical modernization and thoughtful adoption of AI-driven capabilities. This role blends people leadership, technical strategy, and delivery execution, with a focus on improving the quality, scalability, and longevity of mission-critical systems. You will partner closely with Product, Architecture, QA, Professional Services, and other engineering leaders to modernize our OnRoute and Orion platforms, strengthen engineering practices, mature DevOps and quality processes, and help shape how AI is responsibly integrated into existing workflows.

Requirements

  • Excellent communicator and active listener capable of influencing team outcomes.
  • Well versed in the latest tools and technologies to support development initiatives.
  • Hands-on understanding of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.)
  • Knowledge of automated testing, regression, and pipeline-based quality gates.
  • Ability to guide teams in reliability engineering practices.
  • Proficient in Microsoft Office Suite and related software(s).
  • Bachelor’s degree in computer science, Engineering, or related field; equivalent experience accepted.
  • 4+ years in software engineering or development.
  • 5+ years in leadership roles managing engineering teams.

Nice To Haves

  • Azure and/or AWS expertise strongly preferred.
  • Understanding of the North American Transit Industry and Agencies is preferred.

Responsibilities

  • Lead teams through modernization initiatives, including architectural improvements, API modernization, and cloud-readiness efforts.
  • Create an environment where engineers can do their best work through clear priorities, strong engineering practices, and a sustained focus on quality.
  • Partner with Product Management, Architecture, Professional Services, Sales, and Marketing to translate business needs and customer opportunities into scalable technical solutions.
  • Drive continuous improvement across delivery process, DevOps, testing strategies, and reliability engineering.
  • Collaborate across the teams to identify, design, and integrate AI/ML capabilities into existing platforms where they deliver meaningful value.
  • Lead in talent acquisition systems and processes, including recruitment activities and decisions on selections.
  • Identify and nurture talent within the team for future leadership roles.
  • Collaborate with the team to drive, develop, and execute innovation in our current products and solutions.
  • Establish and communicate clear performance expectations.
  • Identify performance gaps and monitor performance to ensure development plans are met.
  • Provide direct support, guidance, and transparent communication across distributed teams, including offshore contributors.
  • Ensure fair and equal treatment of employees, avoiding favoritism, addressing difficult issues (with assistance from Human Resources), and practices empathy and compassion.
  • Promote Company policies, procedures, mission, and values by training and providing direction to direct reports in their use and application.
  • Own execution of modernization initiative for OnRoute and Orion platforms.
  • Assist with other teams revolving: Retrospectives, Sprint Planning, Backlog Grooming, Roadmap Planning, Reporting.
  • Story Definitions, and prioritization of tasks.
  • Take an agile approach to workload planning by utilizing JIRA administratively.
  • Coordinate cross-functionally with other Team Managers to develop comprehensive solutions for our customers.
  • Assist with ad hoc requests and take on required initiatives related to improving efficiency and quality of work across the “design and build” cycle.
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