Lead Enterprise Software Engineer - DevOps

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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. /p pThe Team provides the DevOps and SRE services which are critical to Wolters Kluwer and our Expert Solutions in the Legal Regulatory division. /p pAs 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. /p pbEssential Duties And Responsibilities : /b /p pAs a Lead DevOPS Engineer : /p ul liDesign, implement, and automate cloud infrastructure across Azure and AWS using Infrastructure as Code (Terraform, Ansible), enabling scalable, secure, and repeatable environments /li /ul pDrive 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 /p ul liLead the adoption of DevSecOps and Infrastructure as Code practices across Service Operations, Delivery, and the wider organisation /li liDrive the design and evolution of containerised and serverless architectures (AKS, EKS, Docker, Azure Functions) /li liDefine, build, and maintain CI/CD pipelines to improve deployment frequency, reliability, and lead time /li liImplement observability standards, including SLIs/SLOs, monitoring, logging, and alerting to ensure proactive issue detection and reduced MTTR /li liApply SRE principles to improve resilience, scalability,



and reduce operational TOILs /li liEnsure solutions align with enterprise DevOps, security, and compliance standards /li liEmbed security-by-design across the SDLC, including vulnerability management and secure configuration practices /li liMentor and lead DevOps engineers, fostering a high-performing and learning-oriented culture /li liAct as a technical authority, contributing to architecture decisions and engineering standards /li liEnable platform capabilities and reusable automation patterns to support scalable delivery across Teams /li liLead incident resolution, root cause analysis, and continuous improvement initiatives /li liDrive continuous improvement by identifying engineering inefficiencies and proposing modernisation strategies /li /ul pbJob Qualifications : /b Hold at least two Azure /or AWS Certifications /p pbEducation :**** /b Bachelor’s in Engineering or Master’s degree in Computer Science /p p**Required Experience :** /p ul li10+ years (or equivalent senior experience) in DevOps, SRE, Release Engineering, or Software Engineering, with exposure to production-critical systems /li /ul h3Strong hands-on experience with cloud platforms (Azure and/or AWS), including designing and operating scalable and secure solutions /h3 h3Proven experience in maintaining and deploying highly available, fault-tolerant cloud-native systems at scale using Infrastructure as Code automation, particularly Terraform (preferred) or CloudFormation /h3 pExperience using AI-assisted tools (e.g. GitHub Copilot, ChatGPT, or similar) to improve productivity /p pExperience automating operational tasks using AI-assisted scripting or intelligent automation approaches /p pFamiliarity with prompt engineering and AI usage patterns in engineering workflows /p h3Solid experience building and managing CI/CD pipelines, using tools such as Azure DevOps, Jenkins, GitHub /h3 pExperience building or operating AI-enabled pipelines (e.g.



integrating ML/AI services into CI/CD workflows) /p pStrong scripting/automation skills using Python, Bash or PowerShell /p h3Experience working in both Linux and Windows environments, including troubleshooting and automation /h3 h3Solid Experience with Kubernetes (AKS/EKS) and containerised environments /h3 h3Experience with observability practices, including Monitoring, Logging, Alerting (e.g. Datadog, Prometheus, Grafana, CloudWatch) /h3 h3Practical application of SRE principles, including Incident Management, Relaiability and Resilience, Toil Reduction /h3 pExperience applying DORA metrics to improve delivery performances /p h3Familiarity with enterprise tooling ecosystem (e.g. ServiceNow) /h3 h3Proven ability to lead or mentor engineers and work across multiple Teams /h3 h3Strong communication skills, with the ability to explain complex technical topics to non-technical stakeholders /h3 h3Strong attention to details with excellent problem-solving skills /h3 pExperience driving DevOps transformation initiatives or cultural change /p p**Preferred Experience :** /p ul liExperience with configuration management tools b(Ansible, Puppet, Chef) /b /li /ul h3Experience with serverless architectures (Azure Functions, AWS Lambda) /h3 pExposure to cost optimisation and cloud financial management (FinOps) /p pExperience with AI observability / monitoring (tracking model performance, usage, cost) /p ul liExperience with Open Telekom Cloud (OTC) as public cloud provider /li /ul p#LI-Hybrid /p h3Our Interview Practices /h3 pTo 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. /p pApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7r87gw