Job Title: Senior Manager – Software Engineering
Role Summary
The Senior Manager, Software Engineering is responsible for leading and scaling high‑performing product engineering teams while driving technical excellence, timely delivery, and strategic innovation. This role requires strong people leadership, deep technical expertise, cross‑functional collaboration, and the ability to leverage modern engineering practices including AI‑assisted development tools to accelerate delivery and improve quality.
You will partner closely with Product Management, UX, QA, DevOps, and business stakeholders to define and execute product roadmaps, contribute to long‑term technical strategy, and foster a culture of ownership, accountability, and continuous learning.
Key Responsibilities
Engineering Leadership & People Management
- Lead and manage a sizable, distributed team of software engineers, fostering a positive, inclusive, and high‑performing culture.
- Provide strong technical and managerial leadership, offering guidance on complex engineering challenges and critical decision‑making.
- Mentor, coach, and develop engineering managers and individual contributors, supporting career growth and succession planning.
- Conduct regular performance evaluations, provide actionable feedback, and identify development opportunities.
- Build trust within teams by setting clear expectations, ensuring accountability, and promoting transparency.
Delivery & Execution Excellence
- Plan, prioritize, and schedule work to ensure efficient resource utilization and predictable delivery.
- Ensure timely delivery of projects while balancing scope, quality, risk, and resources.
- Monitor development processes, framework adoption, and project progress to ensure adherence to engineering standards and best practices.
- Estimate project cost, effort, and resource needs; allocate resources effectively across initiatives.
- Continuously monitor ongoing processes and outcomes, providing feedback and driving improvements.
Technical & Architectural Leadership
- Drive engineering best practices across code quality, testing strategies, CI/CD pipelines, and Agile methodologies.
- Contribute to architectural decisions and long‑term technical strategy aligned with business goals.
- Ensure strong understanding and application of modern software architecture, cloud technologies, and scalable system design.
- Provide oversight and guidance on DevOps practices, microservices architecture, and platform engineering.
- Promote automation across development, testing, deployment, and operational workflows.
AI Tools & Modern Engineering Practices
- Drive adoption of AI‑assisted development tools (e.g., code generation, code review assistance, test automation, DevOps intelligence).
- Leverage AI tools to improve developer productivity, reduce cycle time, enhance code quality, and accelerate troubleshooting.
- Encourage responsible and secure usage of AI tools in engineering workflows, following organizational and compliance guidelines.
- Use data and AI‑driven insights to improve delivery predictability, quality metrics, and engineering efficiency.
- Stay informed on emerging AI trends and assess their applicability to product engineering and platform evolution.
Stakeholder & Cross‑Functional Collaboration
- Communicate effectively in a matrixed organization with senior leadership, stakeholders, and cross‑functional partners.
- Collaborate closely with Product Management, UX, QA, DevOps, and business stakeholders to define, prioritize, and execute product roadmaps.
- Partner across teams, geographies, and functions to enable smooth integrations and successful product launches.
- Influence without authority and resolve dependencies across teams to ensure alignment and progress.
Required Skills & Expertise
Core Technical & Engineering Skills
- Product Software Engineering: Strong expertise in designing, developing, testing, and delivering scalable software products.
- Cloud Computing: Hands‑on understanding of cloud platforms (AWS, Azure, GCP), cloud‑native architectures, and managed services.
- DevOps: Experience with automation, CI/CD, continuous delivery, monitoring, and rapid feedback loops.
- Software Architecture: Strong understanding of microservices, APIs, distributed systems, and platform engineering.
- APIs & Integrations: Experience designing, securing, documenting, and managing APIs.
- Automation: Expertise in designing and optimizing automated systems across SDLC.
- Frameworks: Strong knowledge of modern development frameworks and best practices.
Ways of Working
- Agile Methodologies: Experience leading teams using Agile/Scrum/Kanban with a strong focus on continuous improvement.
- Implementation & Delivery: Proven ability to execute plans effectively and deliver complex initiatives.
- Problem Solving & Analysis: Ability to break down complex problems and develop practical, scalable solutions.
- Spec Driven development
- AI oriented SDLC
People & Leadership Skills
- People Management: Strong skills in coaching, delegation, conflict resolution, motivation, and performance management.
- Stakeholder Management: Excellent communication and collaboration skills across technical and non‑technical audiences.
- Influence & Collaboration: Ability to lead through influence in a matrixed environment.
Competencies & Leadership Behaviours
- Judgement & Decision Making
- Accountability & Ownership
- Inclusive Collaboration
- Inspiration & Alignment
- Courage to Take Smart Risks
Preferred Qualifications
- Prior experience leading multi‑team or multi‑location engineering organizations.
- Exposure to AI/ML‑powered engineering platforms or developer productivity tools.
- Experience in large‑scale product organizations or SaaS platforms.
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.
Skills Required
- Lead and manage sizable, distributed software engineering teams
- People management, coaching, performance evaluations, succession planning
- Product software engineering: design, develop, test, deliver scalable products
- Hands-on understanding of cloud platforms (AWS, Azure, GCP) and cloud-native architectures
- DevOps experience including automation, CI/CD, continuous delivery, monitoring
- Strong software architecture knowledge: microservices, distributed systems, platform engineering
- APIs and integrations: design, secure, document, and manage APIs
- Expertise in automation across SDLC and test automation
- Experience driving engineering best practices: code quality, testing strategies, CI/CD pipelines
- Experience with Agile methodologies (Scrum/Kanban) and continuous improvement
- Ability to drive adoption of AI-assisted development tools and apply AI-driven insights
- Stakeholder management and cross-functional collaboration with Product, UX, QA, DevOps
- Spec Driven Development and AI-oriented SDLC practices
- Prior experience leading multi-team or multi-location engineering organizations
- Exposure to AI/ML-powered engineering platforms or developer productivity tools
- Experience in large-scale product organizations or SaaS platforms
Wolters Kluwer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wolters Kluwer and has not been reviewed or approved by Wolters Kluwer.
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Leave & Time Off Breadth — Time away benefits are positioned as broad, spanning vacation and sick time plus paid holidays and other covered leave types. Paid parental and caregiver leave, bereavement leave, and a volunteer day contribute to a more comprehensive time-off offering.
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Retirement Support — Retirement support is framed as meaningful through access to a 401(k)/retirement plan paired with company matching and additional contribution features in some descriptions. This is reinforced by mentions of profit sharing and other long-term savings-oriented programs.
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Parental & Family Support — Family-oriented support stands out through adoption assistance and paid parental leave provisions. These benefits are described alongside other caregiver supports that extend beyond basic leave categories.
Wolters Kluwer Insights
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide. Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
