Hybrid Software Engineering Manager - Budgeting Platform

Tyler Technologies; Yarmouth (ME); Hybrid; USD 89,000 - 117,000; Full time

Job summary

Tyler Technologies seeks an experienced Software Engineering Manager to lead the Priority Based Budgeting engineering team and guide scalable, AWS-native platforms used by local governments.

You will mentor engineers across distributed locations, partner with product, architecture, and platform operations, and foster an agile, DevOps culture focused on reliability and continuous improvement.

Qualifications

• Experience leading software engineering teams and delivering complex projects.
• Hands-on background in building and operating large-scale web apps; familiarity with .NET, JavaScript, AWS.
• Excellent communication and stakeholder engagement across technical and non-technical teams.

Responsibilities

• Lead a team of software engineers across distributed locations and AWS-native architecture.
• Promote Agile, DevOps, and continuous improvement to improve delivery velocity and reliability.
• Partner with product management, architecture, and platform ops to align priorities.
• Coach engineers through performance reviews and career development.
• Define and track engineering KPIs and ensure service health.
• Champion modern software engineering practices, including AI-assisted tooling and observability.
• Balance roadmap with production issues and protect team capacity.
• Drive cloud modernization initiatives.

Skills

Team leadership

DevOps

Agile methodologies

CI/CD

AWS

.NET

JavaScript

SQL Server

Communication

Distributed teams

Education

Bachelor's degree in Computer Science or related field

Job description

Tyler Technologies seeks an experienced Software Engineering Manager to lead the Priority Based Budgeting engineering team and guide scalable, AWS-native platforms used by local governments.

You will mentor engineers across distributed locations, partner with product, architecture, and platform operations, and foster an agile, DevOps culture focused on reliability and continuous improvement.