Senior Software Engineer

• Define and establish technical standards based on architectural principles and engineering best practices.
• Design and build scalable, maintainable, and secure software systems that support the long-term growth of the Priority Based Budgeting platform.
• Collaborate with engineering leadership to develop technical roadmaps and platform strategy.
• Represent technical perspectives in strategic planning discussions and product initiatives.
• Establish and maintain code quality standards, development practices, and technical debt management processes.
• Drive adoption of approved emerging technologies and modern engineering practices across development teams.
• Create and maintain technical documentation, architecture diagrams, and knowledge-sharing resources.

• Lead the design, development, testing, and deployment of complex software solutions.
• Contribute hands-on code across the full application stack, including frontend, backend, APIs, databases, and cloud infrastructure.
• Partner with product management, UX, data, and support teams to deliver customer-focused solutions.
• Identify opportunities to improve system performance, reliability, scalability, and maintainability.
• Support production systems and participate in troubleshooting complex technical issues when needed.

• Mentor and coach junior and mid-level engineers, helping accelerate their technical growth and professional development.
• Participate in hiring activities, including candidate evaluation and technical interviews.
• Foster a culture of continuous learning, collaboration, and engineering excellence.
• Provide technical guidance during design reviews, code reviews, and project planning activities.

• Identify opportunities to leverage Agentic AI to improve developer productivity, streamline engineering workflows, and enhance software quality.
• Guide engineering teams in the responsible adoption of AI-assisted development practices and tooling.
• Evaluate and implement AI-driven solutions that support development enablement, automation, and operational efficiency.
• Establish best practices for integrating Agentic AI into the software development lifecycle.
• Promote responsible AI adoption, including appropriate governance, security, compliance, data privacy, and human oversight practices.

• 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.
• Typically 5+ years of professional software development experience with demonstrated progression into technical leadership responsibilities.
• Proven track record of leading complex technical projects from design through production delivery.
• Experience designing, building, and supporting large-scale production systems.
• History of contributing to technical decision-making, architectural direction, and engineering best practices.
• Proficiency with C#, Angular, SQL, Linux, Git, Docker, and AWS or comparable technologies.
• Strong communication skills with the ability to effectively collaborate across technical and non-technical teams.

• Advanced proficiency in software development with deep knowledge of modern programming languages, frameworks, and development ecosystems.
• Extensive experience designing scalable, distributed systems and cloud-native applications.
• Strong understanding of modern software architecture patterns, API design, and service-oriented systems.
• Experience with CI/CD pipelines, infrastructure automation, containerization, and orchestration technologies.
• Expertise in application performance tuning, database optimization, caching strategies, and system scalability.
• Deep understanding of secure software development practices, software quality methodologies, and risk management.
• Active awareness of emerging technologies, industry trends, and engineering innovations.

• Proven ability to influence technical decisions and establish technical direction across teams.
• Demonstrated success mentoring and developing engineers at multiple experience levels.
• Strong strategic thinking skills with the ability to balance technical considerations and business objectives.
• Experience driving technology adoption, process improvements, and organizational change.
• Advanced problem-solving abilities for complex technical and organizational challenges.

• Experience with public sector software, budgeting, financial planning, or performance management solutions.
• Experience with Priority Based Budgeting methodologies or decision-support platforms.
• Experience leveraging and creating AI-assisted development tools and agentic workflows to improve engineering efficiency, accelerate delivery, and support software quality initiatives.
• Understanding of responsible AI adoption practices, including security, compliance, governance, data privacy, and human oversight within engineering workflows.
• Experience with Kubernetes, infrastructure as code, observability platforms, and modern cloud operations practices.
• AWS certifications or other relevant cloud certifications are beneficial.

About the Work