Lead Product Software Engineer

C T Corporation System (DE); Coppell (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

C T Corporation System (DE) is seeking a Technical Lead in Coppell, TX to shape the multi‑year modernization of our license management platform. You will own the delivery for customer self‑service, License Intelligence and AI-enabled compliance, mentoring engineers and setting standards for AI‑assisted development.

You will stay hands‑on in .NET, Angular (v18+/NgRx), REST APIs, SQL Server and Azure, guiding architecture, design reviews and cross‑team collaboration while driving reliability and

Qualifications

• 8+ years in software engineering with deep .NET and Angular expertise; at least 1 year in agentic AI development.
• Proven technical leadership: architecture, design reviews, roadmap planning, cross‑team delivery.
• Strong experience in REST API design, SQL Server relational design, IIS self‑hosted deployments, Azure, Azure DevOps CI/CD, and GitHub.
• Strong testing discipline (NUnit, Jasmine) and production support experience.
• Advanced AI tool proficiency, including responsible‑AI practices and AI output validation.
• Excellent communication, analytical and problem‑solving skills; ownership and accountability.
• Agile/Scrum experience.

Responsibilities

• Define the technical strategy and road map with product and engineering management.
• Own delivery from requirements through design, implementation, testing, release and validation.
• Create practical delivery plans covering architecture, milestones, sequencing, ownership and timelines.
• Manage competing priorities across workstreams, propose options and assign ownership.
• Lead architecture and design reviews; document major decisions and balance tradeoffs for quality and cost.
• Evolve legacy applications toward modular services and cloud‑based operations.
• Identify risks and blockers early; communicate scope/timeline changes and mitigations.
• Represent the team in cross‑team discussions and drive decisions to resolution.
• Maintain technical and operational health of applications and AI services; monitor with New Relic and Datadog; plan tech debt and reliability improvements.
• Establish team practices for planning, testing, release readiness and incident follow‑ups.
• Evaluate and optimize AI tool use; set validation standards and review AI‑generated code for responsible AI.

Skills

Leadership

.NET

Angular

REST APIs

Azure

CI/CD

AI development

Communication

Tools

Azure DevOps

GitHub

SQL Server

IIS

New Relic

Datadog

Job description

Business License helps organizations manage the complexity of business licensing and regulatory compliance across jurisdictions. Our solutions support license research, ordering, renewals, workflow, documentation, reporting, and ongoing compliance operations. Business License has impressive and consistent double-digit growth and an aggressive multi-year plan to continue to speed things up.

We are modernizing a mature product portfolio into a scalable, cloud-based ecosystem. Recent progress includes migration to Wolters Kluwer cloud infrastructure, conversion of a large Silverlight desktop application to Angular, improved release automation and resilience, and creation of the foundation for a License Intelligence Platform. The next phase focuses on platform simplification, service decoupling, enterprise performance, customer self-service, integrations, and AI-enabled workflows.

About the Role

As Technical Lead, you will shape the technical direction of a multi-year transformation that is already producing measurable delivery, performance, and user-experience gains. You will own delivery for customer self-service, License Intelligence, workflow, reporting, integrations, and AI-enabled compliance experiences. You are a hands‑on lead and trusted partner to Product and Engineering management. You enjoy solving modernization and scale challenges, not only reviewing designs. You will also mentor engineers and set standards for AI‑assisted and agentic development.

Responsibilities

• Partner with product and engineering management to define the technical strategy and roadmap. Translate business priorities and customer needs into clear technical priorities.
• Own delivery from requirement clarification and design through implementation, testing, release, and post‑release validation.
• Create practical delivery plans covering architecture, milestones, sequencing, owners, dependencies, timelines, and success measures.
• Manage competing priorities across workstreams by proposing options, sequencing work, and assigning ownership.
• Lead architecture and design reviews. Document major decisions and balance tradeoffs across delivery, reliability, security, quality, maintainability, and cost.
• Guide the evolution from tightly coupled legacy applications toward modular business capabilities, modern APIs and services, and cloud‑based operations.
• Identify risks, blockers, and dependencies early. Communicate scope or timeline changes, recommend mitigations, and escalat when needed.
• Represent the team in cross‑team technical discussions and drive decisions and dependencies to resolution.
• Own the technical and operational health of the team's applications and AI services. Monitor service health with New Relic and Datadog, and maintain prioritized plans for tech debt, reliability, and architecture improvements.
• Establish team practices for planning, testing, release readiness, quality standards, incident follow‑up, and continuous improvement.
• Evaluate and optimize AI tool use. Set validation standards and review processes for AI‑generated code. Lead responsible‑AI practices.
• Design and optimize agentic workflows for team efficiency and product features.
• Stay hands‑on in .NET, Angular (v18+/NgRx), REST APIs, SQL Server, and Azure.
• Mentor engineers through delegation and actionable feedback. Give management evidence‑based input on growth and performance.
• Participate in planned deployments, incident response, and urgent production fixes outside normal hours when needed.

Required Qualifications

• 8+ years in software engineering with deep .NET and Angular expertise. 1+ year of agentic AI development.
• Proven technical leadership: architecture, design reviews, roadmap planning, and cross‑team delivery.
• Strong in REST API design, SQL Server, relational design, IIS and self‑hosted deployments, Azure, Azure DevOps CI/CD, and GitHub.
• Strong testing discipline (NUnit, Jasmine, code coverage) and production support experience.
• Advanced AI tool proficiency, including responsible‑AI practices and AI output validation.
• Excellent communication, analytical, and problem‑solving skills, plus strong ownership and accountability.
• Agile/Scrum experience.

Preferred Qualifications

• Python proficiency (or similar scripting language) for AI/agent development.
• LLM architecture knowledge, including inference, context limits, and cost/latency tradeoffs.
• ReAct, Chain‑of‑Thought, and structured‑output prompting.
• Agentic RAG, vector databases, and embeddings.
• LangChain, AutoGen, CrewAI, and multi‑agent orchestration.
• Agent ecosystem design: reasoning engines, memory, tool interfaces, and goal management.
• Model evaluation, hallucination mitigation, and safe action loops.
• TensorFlow/PyTorch and reinforcement learning concepts.
• Legacy modernization experience (for example Silverlight/Web Forms to Angular). OAuth/OIDC and Oracle are also welcome.

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