Lead Product Software Engineer

Position Summary

We are seeking a hands-on Lead Product Software Engineer to lead a team of engineers while designing and delivering enterprise software products. This player-coach role combines full-stack development, technical leadership, team development, driving AI adoption and accountability for delivery.

The successful candidate will bring deep expertise in .NET, and Angular, broad experience in enterprise application and cloud architecture, and the ability to guide complex initiatives from design through production. The candidate will apply Specification-Driven Development (SDD) with Agentic AI to improve how software is designed, built, tested, and documented while delivering traditional software and agentic AI solutions.

This role requires independent judgment, advanced technical expertise, and the ability to advise leadership, product management and influence decisions across teams. The successful candidate will remain an active contributor to production code while helping engineers solve complex problems and deliver secure, reliable, customer-focused solutions.

Essential Responsibilities

Engineering Leadership and Delivery

• Lead, mentor, and develop a team of software engineers through technical direction, coaching, design discussions, and code reviews.
• Partner with Product Management, Architecture, Quality Engineering, UX, Security, and DevOps to turn business priorities into technical plans and delivered capabilities.
• Guide estimation, adaptive planning, prioritization, dependency management, and risk mitigation for team initiatives, using Agile methodology to deliver iteratively and respond to changing priorities.
• Lead engineers in solving complex problems, evaluating alternatives, and making sound technical decisions.
• Foster accountability, collaboration, and continuous improvement while meeting delivery commitments and engineering standards.

 

 

Technical Leadership and Solution Design

• Advise engineering management, product management and cross-functional stakeholders on architecture, technology choices, technical risks, and opportunities to improve products or processes.
• Lead solution design, architecture reviews, and technical evaluations. Explain complex concepts and influence decisions through clear analysis of options and tradeoffs.
• Guide modernization and SaaS delivery using Angular, modern .NET services, REST APIs, API Management, cloud technologies, and reusable components while addressing technical debt, security, reliability, and long-term maintainability.
• Keep pace with advances in software engineering and AI, applying relevant technologies to improve software delivery, strengthen product capabilities, and deliver value to customers faster.

Hands-On Software Engineering and Agentic AI

• Design, build, test, and support applications using C#, .NET, ASP.NET Core, Angular, TypeScript, REST APIs, and SQL Server. Contribute directly to complex features and critical code paths.
• Review code, troubleshoot production issues, perform root-cause analysis, and improve quality through automated unit testing, CI/CD, and observability.
• Design and implement Agentic AI capabilities that connect large language models with application services, enterprise data, APIs, and tools to support intelligent workflows and human review.
• Apply SDD with Agentic AI by translating approved requirements, designs, architecture decisions, and engineering standards into structured, testable specifications that guide AI-assisted implementation, testing, and documentation.
• Establish practical patterns for AI evaluation, security, safeguards, monitoring, and human oversight so AI-enabled features are reliable and supportable in production.

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 10+ years of software engineering experience, including hands-on delivery of enterprise and SaaS applications.
• 5+ years of experience leading and mentoring engineers while remaining directly involved in software development and technical delivery.
• Advanced proficiency in C#, modern .NET, ASP.NET Core, Angular, TypeScript, REST API development, RDBMS databases (SQL Server, Oracle).
• Experience designing applications across frontend, backend, data, and integration layers, including reusable components and services.
• Experience with application architecture, cloud native development, containers, unit testing, Git, CI/CD, code quality, observability and production troubleshooting.
• Experience with SDD or other structured approaches to AI-assisted software development lifecycle.
• Ability to interpret business challenges, make independent technical decisions, and communicate recommendations to technical and non-technical stakeholders.

Preferred Qualifications

• Experience delivering Agentic AI or generative AI capabilities in production, including agent orchestration, MCP, tool integration, evaluation, safeguards, and human-in-the-loop workflows.
• Experience with Microsoft Azure, Azure DevOps, cloud development, No SQL Databases like Mongo DB or Cosmos DB, Vector Databases, Semantic Search, Python.
• Familiarity with Azure OpenAI, Semantic Kernel, AutoGen, LangGraph, or comparable technologies.
• Experience with authentication, authorization, secure development (OWASP), and distributed systems.

Competencies

• Analytical Skills
• Inclusive Collaboration
• Drive to Perform
• Accountability
• Functional Expertise
• Operational Expertise

 

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

 

Compensation:

$116,400.00 - $204,100.00 USD

 

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position.  Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. 

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.