We are seeking a Senior Software Engineer to play a key role in the continued growth and evolution of Tyler’s Priority Based Budgeting platform.
Priority Based Budgeting (PBB) is a strategic budgeting methodology that helps organizations allocate financial resources based on how effectively programs and services align with community priorities and organizational goals. The platform enables public sector leaders to evaluate programs, understand resource allocation tradeoffs, and make data-driven funding decisions that improve outcomes for the communities they serve.
As a Senior Software Engineer, you will provide technical leadership while remaining actively engaged in software design and development. You will help define architectural standards, guide engineering practices, mentor developers, and contribute to the long-term technical vision of the platform. This role combines hands-on engineering with leadership responsibilities, requiring both deep technical expertise and the ability to influence teams across the organization.
You will work across a modern technology stack including C#, .NET, Angular, SQL, Linux, Docker, AWS, and cloud-native technologies while helping drive adoption of emerging technologies, including Agentic AI capabilities that improve engineering productivity, software quality, and operational efficiency.
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Define and establish technical standards based on architectural principles and engineering best practices.
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Design and build scalable, maintainable, and secure software systems that support the long-term growth of the Priority Based Budgeting platform.
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Collaborate with engineering leadership to develop technical roadmaps and platform strategy.
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Represent technical perspectives in strategic planning discussions and product initiatives.
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Establish and maintain code quality standards, development practices, and technical debt management processes.
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Drive adoption of approved emerging technologies and modern engineering practices across development teams.
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Create and maintain technical documentation, architecture diagrams, and knowledge-sharing resources.
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Lead the design, development, testing, and deployment of complex software solutions.
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Contribute hands-on code across the full application stack, including frontend, backend, APIs, databases, and cloud infrastructure.
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Partner with product management, UX, data, and support teams to deliver customer-focused solutions.
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Identify opportunities to improve system performance, reliability, scalability, and maintainability.
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Support production systems and participate in troubleshooting complex technical issues when needed.
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Mentor and coach junior and mid-level engineers, helping accelerate their technical growth and professional development.
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Participate in hiring activities, including candidate evaluation and technical interviews.
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Foster a culture of continuous learning, collaboration, and engineering excellence.
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Provide technical guidance during design reviews, code reviews, and project planning activities.
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Identify opportunities to leverage Agentic AI to improve developer productivity, streamline engineering workflows, and enhance software quality.
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Guide engineering teams in the responsible adoption of AI-assisted development practices and tooling.
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Evaluate and implement AI-driven solutions that support development enablement, automation, and operational efficiency.
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Establish best practices for integrating Agentic AI into the software development lifecycle.
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Promote responsible AI adoption, including appropriate governance, security, compliance, data privacy, and human oversight practices.
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Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent professional experience demonstrating expert-level programming competency and technical leadership.
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Typically 5+ years of professional software development experience with demonstrated progression into technical leadership responsibilities.
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Proven track record of leading complex technical projects from design through production delivery.
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Experience designing, building, and supporting large-scale production systems.
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History of contributing to technical decision-making, architectural direction, and engineering best practices.
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Proficiency with C#, Angular, SQL, Linux, Git, Docker, and AWS or comparable technologies.
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Strong communication skills with the ability to effectively collaborate across technical and non-technical teams.
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Advanced proficiency in software development with deep knowledge of modern programming languages, frameworks, and development ecosystems.
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Extensive experience designing scalable, distributed systems and cloud-native applications.
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Strong understanding of modern software architecture patterns, API design, and service-oriented systems.
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Experience with CI/CD pipelines, infrastructure automation, containerization, and orchestration technologies.
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Expertise in application performance tuning, database optimization, caching strategies, and system scalability.
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Deep understanding of secure software development practices, software quality methodologies, and risk management.
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Active awareness of emerging technologies, industry trends, and engineering innovations.
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Proven ability to influence technical decisions and establish technical direction across teams.
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Demonstrated success mentoring and developing engineers at multiple experience levels.
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Strong strategic thinking skills with the ability to balance technical considerations and business objectives.
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Experience driving technology adoption, process improvements, and organizational change.
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Advanced problem-solving abilities for complex technical and organizational challenges.
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Experience with public sector software, budgeting, financial planning, or performance management solutions.
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Experience with Priority Based Budgeting methodologies or decision-support platforms.
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Experience leveraging and creating AI-assisted development tools and agentic workflows to improve engineering efficiency, accelerate delivery, and support software quality initiatives.
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Understanding of responsible AI adoption practices, including security, compliance, governance, data privacy, and human oversight within engineering workflows.
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Experience with Kubernetes, infrastructure as code, observability platforms, and modern cloud operations practices.
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AWS certifications or other relevant cloud certifications are beneficial.
The Priority Based Budgeting platform sits at the intersection of strategic planning, budgeting, performance management, and emerging AI capabilities. This role offers the opportunity to influence both the technical direction of a growing platform and the engineering practices that support it.
Success in this role requires a combination of hands-on technical excellence, architectural thinking, mentorship, and the ability to help teams adopt new technologies responsibly while delivering reliable software that solves meaningful problems for public sector organizations.
