Senior Product Software Engineer
About the Role
Take your software engineering career to the next level as a Lead Product Software Engineer within TeamMate. You will play a key role in designing, developing, and leading the delivery of scalable, high-performing, and business-critical applications that operate 24/7/365. Your technical leadership, innovative mindset, and ability to leverage AI-First development practices and Spec Driven Development (SDD) will contribute to continuous product improvement, significantly enhancing engineering speed, quality, and user satisfaction.
Responsibilities
Lead Software Development: Take the lead in designing, developing, and maintaining complex, scalable software applications aligned with business and customer needs.
Technical Leadership & Design: Guide architectural decisions, design specifications, and implementation strategies, ensuring alignment with best practices, MVC patterns, and modern development standards.
AI-First Development & SDD: Lead the adoption of AI-First engineering practices and Spec Driven Development (SDD) to drive structured, specification-based development, leveraging AI tools to improve speed, consistency, and software quality.
Design Collaboration: Collaborate with cross-functional teams to define design specifications and technical solutions, incorporating diverse perspectives and aligning on shared goals.
Agile Planning & Execution: Work closely with Product Owners to refine and prioritize the backlog, provide technical estimates, and ensure successful execution of PI Planning and sprint activities within SAFe Agile practices.
Team Mentorship: Mentor and coach developers to grow technical expertise, including effective use of AI tools such as GitHub Copilot and adoption of SDD practices.
Effective Communication: Regularly communicate project updates, progress, risks, and challenges to stakeholders, leadership, and team members.
Technical Documentation: Prepare and maintain detailed technical specifications and structured documentation that support SDD and ensure alignment between requirements and implementation.
Performance Optimization: Identify bottlenecks and optimize software systems to improve overall performance, scalability, and efficiency.
Application Design: Lead the design of innovative, user-friendly applications that align with customer needs and industry standards.
Testing Strategies: Ensure comprehensive testing strategies, including unit testing and validation of AI-generated code, to maintain high reliability and quality.
Applied Problem Solving: Apply analytical and structured problem-solving approaches to resolve complex technical challenges and improve system design.
Issue Resolution: Collaborate with teams, Support, and clients to troubleshoot and resolve complex production issues in a timely and effective manner.
Source Control & Code Quality: Oversee code management practices, including branching, merging, peer reviews, and quality enforcement using tools such as SonarQube.
Continuous Improvement: Lead Root Cause Analyses (RCAs) and drive ongoing improvements in development processes, product quality, and team performance.
Knowledge Sharing: Maintain and share deep knowledge of TeamMate products, technologies, and workflows to support team success and customer outcomes.
Skills
Software Engineering: The ability to design, develop, and maintain enterprise-grade software systems using sound engineering principles, including scalability, reliability, and maintainability.
Software Development: The ability to design, write, test, and implement complex software applications, with a focus on architecture, performance, and continuous improvement.
Programming: Strong proficiency in modern programming languages and frameworks, including:C# / .NETObject-Oriented Programming (OOP) / Object-Oriented Design (OOD)Frontend technologies: Vue.js, Node.js, TypeScript, HTML, CSS
AI Technology Adoption and Utilization:AI Tool Proficiency: Effectively leverage tools such as GitHub Copilot to improve development efficiency and code qualityAI Output Validation: Establish validation standards for AI-generated code to ensure accuracy, security, and maintainabilityAgentic Workflow Design: Design and optimize AI-driven and agentic workflows to improve speed, reduce manual effort, and increase consistency Spec Driven Development (SDD): Apply structured specification-based development practices to ensure alignment between requirements, implementation, and testing, improving delivery speed and reducing defects
Problem Solving: The ability to analyze complex technical challenges and implement effective, scalable solutions.
Analysis: The ability to deconstruct systems and processes to identify improvements and optimize performance.
Testing: Experience designing and implementing testing strategies, including unit testing and validation of AI-generated outputs to ensure software quality and reliability.
Agile: Strong experience working in Agile / SAFe environments, supporting iterative development, adaptability, and continuous delivery.
Source Code Repository: Proficiency in using Git for source control, including branching strategies, pull requests, merging, and collaboration workflows.
Relational Database: Experience designing and working with relational databases, particularly SQL Server, including data modeling and query optimization.
APIs: Ability to design, develop, and manage secure and scalable APIs that enable integration across systems.
Design: Strong capability in designing systems, applications, and technical solutions that balance usability, performance, and maintainability.
Framework: Deep understanding of application frameworks, architectural patterns (including MVC), and system design principles.
Documentation: Ability to create, maintain, and manage structured technical documentation, particularly specification-driven artifacts supporting SDD.