Product Software Engineer Jobs in Texas
Product Software Engineer jobs in Texas are among the most active in the country, with strong demand concentrated in enterprise software, fintech, semiconductors, and defense technology sectors, and openings at every level from entry-level associate to principal and staff engineer. Austin, Dallas, and Houston lead hiring volume, with established employers like Dell Technologies, Texas Instruments, and Amazon anchoring a large portion of permanent roles. The most consistently sought specialties include platform engineering, API development, and embedded systems work tied to the state's deep hardware and defense base. Find a role that fits below and apply directly.
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Showing 5 of 23+ Product Software Engineer jobs
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:
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.
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:
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.
See All 23 Product Software Engineer Jobs in Texas
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Find JobsProduct Software Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Product Software Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Media & Entertainment
What Texas Employers Look For
The qualifications that appear most often in product software engineer jobs across Texas.
- Bachelor's degree in computer science, software engineering, or a closely related field
- Proficiency in at least one object-oriented language such as Java, Python, or C++
- Experience building and shipping product features in an agile or scrum environment
- Demonstrated ability to design, develop, and maintain RESTful APIs or microservices
- Familiarity with cloud infrastructure on AWS, Azure, or Google Cloud Platform
- Strong collaboration skills for working across product, design, and QA teams
Product Software Engineer Jobs in Texas: Frequently Asked Questions
How do you become a product software engineer in Texas?
A bachelor's degree in computer science, software engineering, or a related technical discipline is the standard entry point for product software engineer roles in Texas. The state does not require a government-issued license to work as a software engineer, so hiring decisions focus on demonstrated skills and education. Building a project portfolio, contributing to open-source work, or completing a recognized coding program at a Texas university or community college strengthens candidacy considerably.
How much do product software engineers make in Texas?
Product software engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire product software engineers in Texas?
Employers hiring product software engineers in Texas right now include Wolters Kluwer, HP, and Equinix, based on current listings on Migrate Mate as of November 2026. Texas's concentration of semiconductor manufacturers, enterprise software companies, and defense contractors means demand is distributed across both legacy tech giants and fast-growing product startups in the Austin and Dallas corridors.
Which Texas cities have the most product software engineer jobs?
Dallas, Austin, and Coppell have the most product software engineer openings in Texas. Austin's dense startup and big-tech campus ecosystem drives the highest volume, while Dallas attracts enterprise software and fintech employers, and Houston's energy and aerospace industries generate consistent demand for engineers building product-facing systems and embedded tooling.
Are there remote product software engineer jobs in Texas?
Yes, and more than most fields. About 71% of product software engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how thoroughly software development has shifted toward distributed teams. The work most likely to remain fully remote is product feature development, front-end engineering, and API work, while roles requiring hardware integration or on-site lab access tend to require in-person presence.
How can I get hired as a product software engineer in Texas with little or no experience?
The most realistic entry path is through an associate or new-graduate software engineer program at a large Texas employer, with Dell Technologies, National Instruments, and Lockheed Martin running structured rotational programs for candidates without professional experience. Adjacent roles such as QA engineer, technical support engineer, or data analyst at Texas product companies frequently transition into engineering tracks. A portfolio of shipped side projects or open-source contributions, combined with a degree from a Texas university or a well-regarded coding bootcamp, is what moves entry-level applicants past screening.
Where can I find and apply to product software engineer jobs in Texas?
You can find and apply to product software engineer jobs in Texas on Migrate Mate, which lists current openings tied to Texas employers and locations. Find roles that fit your experience and target city and apply directly from each listing.
See All 23 Product Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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