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Sobre esta vaga de Product Software Engineer na Wolters Kluwer

Wolters Kluwer · Presencial · USA - Waltham, MA

Wolters Kluwer Health is seeking a Product Software Engineer to help design, build, test, automate, and improve software used by healthcare professionals and our internal engineering teams.


Depending on your team assignment, you may contribute to customer-facing healthcare applications and AI-enabled product experiences or develop the automation, cloud, and engineering tools that help our teams deliver reliable software. You will work alongside experienced engineers while gaining hands-on exposure to modern software development practices, cloud technologies, automated testing, APIs, continuous integration and delivery, and AI-assisted development tools.


This position offers the opportunity to learn across a broad range of technologies while contributing to software that supports clinical decision-making and improves the productivity and effectiveness of our development teams.


What You'll Do

·    Design, develop, test, debug, and maintain reliable software.

·    Translate product and technical requirements into working solutions.

·    Write and maintain automated tests that protect expected software behavior.

·    Troubleshoot technical issues using logs, test results, telemetry, and other available evidence.

·    Participate in code reviews and incorporate feedback from experienced engineers.

·    Use source control and established software development practices to manage and deliver code changes.

·    Collaborate with software engineers, product managers, quality teams, clinical domain experts, and other technical partners.

·    Improve the performance, reliability, readability, security, and maintainability of existing systems.

·    Learn and apply new programming languages, frameworks, cloud technologies, and development tools.

·    Use AI-assisted development tools thoughtfully for coding, testing, debugging, and documentation.

·    Validate AI-generated code and verify software behavior before release.

·    Follow secure software development practices and help protect sensitive data.


Depending on the team and project assignment, responsibilities may also include:


Product and AI Engineering

·    Develop features across web applications, APIs, shared services, and AI-enabled workflows.

·    Build and test integrations between applications and services.

·    Contribute to AI-enabled product experiences that help healthcare professionals access and apply trusted clinical information.

·    Support streamed responses, agent workflows, and other connected product experiences.

·    Diagnose application defects and make focused improvements to stability and usability.


DevOps and Engineering Automation

·    Develop tools that support build, release, testing, security scanning, and deployment processes.

·    Contribute to continuous integration and continuous delivery pipelines using Jenkins or similar technologies.

·    Help build and maintain automation for development, testing, and production environments.

·    Gain experience with Linux, Docker, Kubernetes, cloud platforms, and infrastructure as code.

·    Support tools and processes that improve developer productivity and software delivery.

·    Assist with automating application deployments across cloud and on-premises environments.


Qualifications

Required Qualifications

·    Currently pursuing a bachelor's or master's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical field.

·    Academic, personal, or professional experience developing software in at least one programming language, such as Java, Python, JavaScript, TypeScript, C++, C#, Groovy, or a similar language.

·    Understanding of foundational software development concepts.

·    Strong analytical and problem-solving skills.

·    Ability to break down technical problems, evaluate possible solutions, and ask questions when requirements are unclear.

·    Interest in learning new technologies, frameworks, and engineering practices.

·    Ability to communicate clearly and collaborate effectively in a team environment.

·    Commitment to software quality, security, accountability, and continuous learning.


Preferred Qualifications

·    Experience with Git or another source-control platform.

·    Exposure to unit, integration, end-to-end, or automated testing.

·    Familiarity with APIs, web applications, microservices, or connected software systems.

·    Exposure to cloud platforms such as Microsoft Azure or Amazon Web Services.

·    Familiarity with CI/CD, Jenkins, Docker, Kubernetes, Linux, or infrastructure-as-code technologies.

·    Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Codex, or similar technologies.

·    Interest in healthcare technology, clinical decision support, artificial intelligence, cloud engineering, developer tools, or DevOps.


What You'll Gain

·    Hands-on experience contributing to production software and engineering tools.

·    Exposure to healthcare technology, artificial intelligence, cloud computing, automation, and modern software delivery practices.

·    Opportunities to learn from experienced software, product, quality, clinical, cloud, and AI professionals.

·    Experience working in a collaborative development environment through iterative planning, code reviews, testing, and continuous delivery.

·    The opportunity to contribute to technology that helps healthcare professionals make informed decisions and enables engineering teams to deliver dependable software.


About Wolters Kluwer

Wolters Kluwer is a global leader in professional information, software solutions, and services for healthcare, tax and accounting, financial and corporate compliance, legal and regulatory, and corporate performance professionals. We combine deep domain knowledge with technology to help customers make critical decisions with confidence.

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:

$89,600.00 - $153,500.00 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.

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Como este salário de Software Engineer se compara

Esta vaga paga $121,550/yr — abaixo da faixa típica para vagas de Software Engineer.

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Sobre a Wolters Kluwer

Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. ​ ​ Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. ​ ​ We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Toda

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