We are seeking a talented, collaborative, high-energy engineering professional with extensive technical expertise and a passion for automating infrastructure and deployment processes to help build, test, and release the next generation of our cloud-based AI-enabled Expert Solutions as part of the LR AppOps Service Operations & Delivery Team.
The Team provides the DevOps and SRE services which are critical to Wolters Kluwer and our Expert Solutions in the Legal & Regulatory division.
As a Lead DevOps Engineer, you will be responsible for leading the design and implementation of the infrastructure and deployment pipelines for our applications, as well as maintaining and improving reliability of our existing systems. You will work alongside the Wolters Kluwer Product Teams to successfully implementing and bring any learnings through continuous improvements. You will work closely with the Application Development Teams to ensure that our services and solutions are delivered efficiently and with the highest level of quality. In addition, you will be responsible for mentoring a team of DevOps engineers, fostering a culture of collaboration with continuous improvement and learning.
Essential Duties And Responsibilities :
As a Lead DevOPS Engineer :
- Design, implement, and automate cloud infrastructure across Azure and AWS using Infrastructure as Code (Terraform, Ansible), enabling scalable, secure, and repeatable environments
- Drive and scale the adoption of AI capabilities across the portfolio, enabling Teams to leverage AI-powered services to improve productivity, operational efficiency, and service reliability, while ensuring alignment with enterprise security, data protection, and governance standards
- Lead the adoption of DevSecOps and Infrastructure as Code practices across Service Operations, Delivery, and the wider organisation
- Drive the design and evolution of containerised and serverless architectures (AKS, EKS, Docker, Azure Functions)
- Define, build, and maintain CI/CD pipelines to improve deployment frequency, reliability, and lead time
- Implement observability standards, including SLIs/SLOs, monitoring, logging, and alerting to ensure proactive issue detection and reduced MTTR
- Apply SRE principles to improve resilience, scalability, and reduce operational TOILs
- Ensure solutions align with enterprise DevOps, security, and compliance standards
- Embed security-by-design across the SDLC, including vulnerability management and secure configuration practices
- Mentor and lead DevOps engineers, fostering a high-performing and learning-oriented culture
- Act as a technical authority, contributing to architecture decisions and engineering standards
- Enable platform capabilities and reusable automation patterns to support scalable delivery across Teams
- Lead incident resolution, root cause analysis, and continuous improvement initiatives
- Drive continuous improvement by identifying engineering inefficiencies and proposing modernisation strategies
Job Qualifications : Hold at least two Azure &/or AWS Certifications
Education : Bachelor's in Engineering or Master's degree in Computer Science
Required Experience :
- 10+ years (or equivalent senior experience) in DevOps, SRE, Release Engineering, or Software Engineering, with exposure to production-critical systems
- Strong hands-on experience with cloud platforms (Azure and/or AWS), including designing and operating scalable and secure solutions
- Proven experience in maintaining and deploying highly available, fault-tolerant cloud-native systems at scale using Infrastructure as Code automation, particularly Terraform (preferred) or CloudFormation
- Experience using AI-assisted tools (e.g. GitHub Copilot, ChatGPT, or similar) to improve productivity
- Experience automating operational tasks using AI-assisted scripting or intelligent automation approaches
- Familiarity with prompt engineering and AI usage patterns in engineering workflows
- Solid experience building and managing CI/CD pipelines, using tools such as Azure DevOps, Jenkins, GitHub
- Experience building or operating AI-enabled pipelines (e.g. integrating ML/AI services into CI/CD workflows)
- Strong scripting/automation skills using Python, Bash or PowerShell
- Experience working in both Linux and Windows environments, including troubleshooting and automation
- Solid Experience with Kubernetes (AKS/EKS) and containerised environments
- Experience with observability practices, including Monitoring, Logging, Alerting (e.g. Datadog, Prometheus, Grafana, CloudWatch)
- Practical application of SRE principles, including Incident Management, Relaiability and Resilience, Toil Reduction
- Experience applying DORA metrics to improve delivery performances
- Familiarity with enterprise tooling ecosystem (e.g. ServiceNow)
- Proven ability to lead or mentor engineers and work across multiple Teams
- Strong communication skills, with the ability to explain complex technical topics to non-technical stakeholders
- Strong attention to details with excellent problem-solving skills
- Experience driving DevOps transformation initiatives or cultural change
Preferred Experience :
- Experience with configuration management tools (Ansible, Puppet, Chef)
- Experience with serverless architectures (Azure Functions, AWS Lambda)
- Exposure to cost optimisation and cloud financial management (FinOps)
- Experience with AI observability / monitoring (tracking model performance, usage, cost)
- Experience with Open Telekom Cloud (OTC) as public cloud provider
#LI-Hybrid
Our Interview PracticesTo 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
- At least two Azure and/or AWS certifications
- Bachelor's degree in Engineering or Master's degree in Computer Science
- 10+ years or equivalent senior experience in DevOps, SRE, Release Engineering, or Software Engineering
- Experience with production-critical systems
- Hands-on experience designing and operating scalable, secure Azure and/or AWS solutions
- Experience deploying highly available, fault-tolerant cloud-native systems using Infrastructure as Code, particularly Terraform or CloudFormation
- Experience using AI-assisted tools such as GitHub Copilot or ChatGPT
- Experience automating operational tasks using AI-assisted scripting or intelligent automation
- Familiarity with prompt engineering and AI usage patterns in engineering workflows
- Experience building and managing CI/CD pipelines with tools such as Azure DevOps, Jenkins, or GitHub
- Experience building or operating AI-enabled pipelines
- Strong scripting and automation skills using Python, Bash, or PowerShell
- Experience working in Linux and Windows environments
- Experience with Kubernetes, including AKS or EKS, and containerized environments
- Experience with monitoring, logging, alerting, and observability tools such as Datadog, Prometheus, Grafana, or CloudWatch
- Practical application of SRE principles, incident management, reliability, resilience, and toil reduction
- Experience applying DORA metrics to improve delivery performance
- Familiarity with enterprise tooling such as ServiceNow
- Ability to lead or mentor engineers and work across multiple teams
- Strong communication and problem-solving skills
- Experience driving DevOps transformation initiatives or cultural change
- Experience with configuration management tools such as Ansible, Puppet, or Chef
- Experience with serverless architectures such as Azure Functions or AWS Lambda
- Exposure to cost optimization and cloud financial management
- Experience with AI observability and monitoring
- Experience with Open Telekom Cloud
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).
