Senior Product Software Engineer

About the Role

Take your software engineering career to the next level as a Lead Product Software Engineer within Team Mate. 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.

• 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 Git Hub 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 Sonar Qube.
• 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 Team Mate products, technologies, and workflows to support team success and customer outcomes.

• 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# / .NET
  • Object‑Oriented Programming (OOP) / Object‑Oriented Design (OOD)
  • Frontend technologies: Vue.js, Node.js, Type Script, HTML, CSS
• AI Technology Adoption and Utilization:
  • AI Tool Proficiency: Effectively leverage tools such as Git Hub Copilot to improve development efficiency and code quality.
  • AI Output Validation: Establish validation standards for AI‑generated code to ensure accuracy, security, and maintainability.
  • Agentic…