Lead DevOps Engineer Wolters Kluwer · Bitritto · DevOps & Release €43,600–€69,700 6d ago

Devopsroles; Bitritto; Hybrid; EUR 44,000 - 70,000; Full time

Benefits offered by this job

Bonus

Job summary

Wolters Kluwer is seeking a Lead DevOps Engineer to design and implement cloud infrastructure and deployment pipelines for AI-enabled Expert Solutions. You will mentor a team, drive DevSecOps adoption, and ensure high reliability across Azure and AWS environments.

You will collaborate with product teams to deliver scalable, secure systems, apply SRE principles, and lead continuous improvement initiatives across multiple squads. A strong emphasis on automation and governance runs throughout.

Qualifications

• 10+ years in DevOps, SRE, Release Engineering, or software engineering.
• Hands-on with cloud platforms (Azure/AWS) and scalable secure solutions.
• Experience with IaC tooling (Terraform preferred) and automation.
• Experience using AI-assisted tools to boost productivity.
• Strong scripting in Python, Bash, or PowerShell.

Responsibilities

• Design, implement, and automate cloud infrastructure across Azure/AWS.
• Define and maintain CI/CD pipelines to improve release cadence.
• Mentor DevOps engineers and lead technical decision-making.
• Embed security-by-design across the SDLC and apply SRE principles.
• Lead incident resolution and post-mortem analysis for reliability.

Skills

Azure

AWS

CI/CD

Education

Bachelor's or Master's in Engineering/CS

Tools

Terraform

Ansible

Kubernetes

Job description

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:

• 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 organization.
• Drive the design and evolution of containerized 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 modernization strategies.

Job Qualifications: Hold at least one Azure and/or AWS certification.

Education: Bachelor's or Master's degree in Engineering, Computer Science, or similar disciplines.

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 containerized environments.
• Experience with observability practices, including Monitoring, Logging, Alerting (e.g. Datadog, Prometheus, Grafana, CloudWatch).
• Practical application of SRE principles, including Incident Management, Reliability and Resilience, Toil Reduction.
• 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.
• 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 optimization 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.

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:

€43,600.00 - €69,700.00 EURThis role is eligible for Bonus.

The salary range shown applies to the primary location for this role. We also welcome applications from candidates who are based in, or able to attend, other Wolters Kluwer office locations in Italy. As compensation is location-specific, different salary ranges may apply. The applicable salary range for the relevant location will be communicated before interviews take place.