Lead Enterprise Software Engineer - DevOps
Pubblicato il 05-09-2026 - WK in Italia
ppWe 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. /ppThe Team provides the DevOps and SRE services which are critical to Wolters Kluwer and our Expert Solutions in the Legal Regulatory division. /ppAs 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. /ph3Essential Duties And Responsibilities : /h3ulliDesign, implement, and automate cloud infrastructure across Azure and AWS using Infrastructure as Code (Terraform, Ansible), enabling scalable, secure, and repeatable environments /liliDrive 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 /liliLead the adoption of DevSecOps and Infrastructure as Code practices across Service Operations, Delivery,
and the wider organisation /liliDrive the design and evolution of containerised and serverless architectures (AKS, EKS, Docker, Azure Functions) /liliDefine, build, and maintain CI/CD pipelines to improve deployment frequency, reliability, and lead time /liliImplement observability standards, including SLIs/SLOs, monitoring, logging, and alerting to ensure proactive issue detection and reduced MTTR /liliApply SRE principles to improve resilience, scalability, and reduce operational TOILs /liliEnsure solutions align with enterprise DevOps, security, and compliance standards /liliEmbed security-by-design across the SDLC, including vulnerability management and secure configuration practices /liliMentor and lead DevOps engineers, fostering a high-performing and learning-oriented culture /liliAct as a technical authority, contributing to architecture decisions and engineering standards /liliEnable platform capabilities and reusable automation patterns to support scalable delivery across Teams /liliLead incident resolution, root cause analysis, and continuous improvement initiatives /liliDrive continuous improvement by identifying engineering inefficiencies and proposing modernisation strategies /li /ulh3Job Qualifications : /h3ulliHold at least two Azure /or AWS Certifications /li /ulh3Education : /h3pBachelor's in Engineering or Master's degree in Computer Science /ph3Required Experience : /h3ulli10+ years (or equivalent senior experience) in DevOps, SRE, Release Engineering, or Software Engineering,
with exposure to production-critical systems /liliStrong hands‑on experience with cloud platforms (Azure and/or AWS), including designing and operating scalable and secure solutions /liliProven experience in maintaining and deploying highly available, fault-tolerant cloud-native systems at scale using Infrastructure as Code automation, particularly Terraform (preferred) or CloudFormation /liliExperience using AI-assisted tools (e.g. GitHub Copilot, ChatGPT, or similar) to improve productivity /liliExperience automating operational tasks using AI-assisted scripting or intelligent automation approaches /liliFamiliarity with prompt engineering and AI usage patterns in engineering workflows /liliSolid experience building and managing CI/CD pipelines, using tools such as Azure DevOps, Jenkins, GitHub /liliExperience building or operating AI-enabled pipelines (e.g. integrating ML/AI services into CI/CD workflows) /liliStrong scripting/automation skills using Python, Bash or PowerShell /liliExperience working in both Linux and Windows environments, including troubleshooting and automation /liliSolid Experience with Kubernetes (AKS/EKS) and containerised environments /liliExperience with observability practices, including Monitoring, Logging, Alerting (e.g. Datadog, Prometheus, Grafana, CloudWatch) /liliPractical application of SRE principles, including Incident Management, Relaiability and Resilience, Toil Reduction /liliExperience applying DORA metrics to improve delivery performances /liliFamiliarity with enterprise tooling ecosystem (e.g. ServiceNow) /liliProven ability to lead or mentor engineers and work across multiple Teams /liliStrong communication skills, with the ability to explain complex technical topics to non-technical stakeholders /liliStrong attention to details wit /li /ul /p #J-18808-Ljbffr