Jobs at Wolters Kluwer

Leads enterprise analytics and BI initiatives by architecting Power BI dashboards, standardizing KPIs, automating reporting, and analyzing complex datasets. Builds and deploys machine learning and generative AI solutions for forecasting, financial reporting, document insights, and chatbot support. Partners with finance, data engineering, and cross-functional teams to improve data governance, deliver strategic insights, mentor analysts, and promote data literacy.

Maintain and improve availability, disaster recovery, change and release processes. Build and manage DevOps pipelines, IaC (Terraform), containerized deployments (Docker, Kubernetes), monitoring, and automation. Support cloud (AWS/Azure) operations, troubleshoot service issues, document procedures, and participate in technology evaluations and deployments.

Develop and maintain identity and access management solutions and business-specific configurations. Translate IAM requirements and UX designs into coded solutions using reusable components, collaborating with architects, technical leads, QA, UX/UI, DevOps, and product teams. Produce configuration and code artifacts through continuous delivery, document solutions, support change requests, and work with external customers. The role requires IAM protocol expertise, Java and web development skills, Unix experience, Agile collaboration, and occasional after-hours or on-call availability.

The AppOps Security Engineer analyzes application security risks, manages vulnerability remediation, supports SOC 2, PCI DSS, NIST, and regulatory audits, and maintains audit evidence. The role conducts operational readiness reviews, validates security and operational controls, identifies risks, and develops automation for vulnerability tracking, compliance reporting, monitoring, and workflows. Success requires collaboration with application, infrastructure, security, audit, and business teams to improve application security, compliance, operational resilience, and reporting.

Drive commercial decision-making through data governance, business intelligence, executive dashboards, automated reporting, AI-enabled insights, and strategic analysis. Partner with RevOps, Sales, Marketing, Finance, and leadership to establish data standards, develop KPI reporting, support QBRs and EBRs, identify growth opportunities and risks, and deliver actionable recommendations for planning and performance improvement.

Monitor applications, infrastructure, cloud resources, Kubernetes environments, and containerized services in a 24/7 rotational support team. Investigate alerts using logs, metrics, traces, and dashboards; troubleshoot incidents; manage ServiceNow tickets; escalate critical issues; conduct shift handovers; and improve monitoring, documentation, and operational processes. The role also uses basic SQL, Linux commands, cloud monitoring, and approved AI tools to support investigations and develop operational utilities.

Prepares financial reports, analyzes financial data and sales trends, supports forecasting, budgeting, financial modeling, and economic research. Maintains accurate financial records, contributes to financial plans, and collaborates on projects while working under moderate guidance.

Develop, deploy, and enhance full-stack financial and compliance products using .NET Core, C#, Angular, REST APIs, SQL, and Azure. Design scalable, secure, high-performance applications; contribute to architecture documentation, infrastructure and security reviews, testing, code reviews, deployment, defect management, and product releases. Collaborate in an Agile environment while maintaining repositories, build pipelines, and environments. The role requires strong individual contribution, database development, responsive design, and continuous improvement of engineering practices.

Senior AppSec SME embedded in ATHIP responsible for driving application security strategy, governance, training, threat modeling, scanning, vulnerability remediation, CI/CD security integration, ASVS enforcement, and mentoring Portfolio Security Leads and Security Champions across the division.

Leads data engineering, analytics, predictive modeling, and Generative AI initiatives. Designs scalable Microsoft Fabric infrastructure, ETL/ELT pipelines, governance frameworks, and data models; develops and deploys predictive models; analyzes complex datasets; automates financial reporting and reconciliation; and partners with business, finance, and analytics teams. Provides technical leadership, mentors junior engineers, establishes reporting standards, and promotes data literacy.

Leads enterprise ITSM governance across change, incident, request, problem, service level, and availability management. Runs governance forums, CAB/ECAB processes, assurance reviews, executive reporting, dashboards, and continual-improvement initiatives. Governs ServiceNow workflows and develops automation and AI-enabled processes using Power BI, DevSecOps tools, and observability platforms. Acts as an incident commander, drives remediation and accountability across teams, and participates in a 24x7x365 on-call rotation.

Develop and deploy full-stack product applications using .NET, Angular, Azure, REST APIs, and SQL. Contribute to architecture, low-level design, technical documentation, security, performance, scalability, testing, code reviews, and release management. Collaborate with architects, infrastructure, security, DevOps, program, and product teams while maintaining product environments, deployments, and continuous improvement processes.

Develop and maintain cloud automation solutions across AWS and Azure using Python, PowerShell, Bash, and JavaScript. Build Infrastructure-as-Code, CI/CD pipelines, serverless services, container automation, governance guardrails, and AI-enabled CloudOps workflows. Support provisioning, scaling, patching, backup, disaster recovery, and decommissioning while ensuring reliability, security, observability, and operational readiness. Collaborate with architecture, security, platform, and operations teams in an Agile environment, providing technical leadership and reusable documentation.

Performs advanced cybersecurity work across vulnerability management, cloud security, infrastructure, containers, Kubernetes, application security, and endpoint detection. Reviews security findings, prioritizes remediation, manages EDR/XDR platforms, supports threat hunting and incident triage, and coordinates remediation with technical teams and leadership. Maintains security metrics and dashboards, automates reporting and workflows, and contributes to AI security initiatives, forensic analysis, and secure development practices.

Provides operational assurance and performance management across enterprise ITSM practices, including change, incident, request, problem, service level, and availability management. Reviews compliance and control effectiveness, analyzes trends, supports audits and major incidents, facilitates governance forums, and coordinates remediation and process improvements. Builds ServiceNow and Power BI dashboards, scripts, automations, and AI-enabled workflows while advising technology and operational teams on ITIL-based practices and service reliability.

Manage enterprise IT infrastructure and operations, including hardware and software configuration, network troubleshooting, server maintenance, performance optimization, backup and recovery, security compliance, documentation, inventory, system upgrades, and infrastructure projects. Provide expert support and mentorship to junior staff while improving system reliability, security, and efficiency.

Leads enterprise architecture design, modeling, integration assessments, standards enforcement, technical planning, and architectural change deployment. Serves as a primary advisor for complex architecture issues, ensures solution quality and performance, supports team members, documents technical decisions, and drives continuous improvement aligned with long-term organizational goals.

Designs, develops, and deploys scalable data science, machine learning, generative AI, and agentic AI solutions. Translates business needs into secure enterprise architectures, builds and evaluates production models, leads AI initiatives from concept through deployment, and establishes monitoring and performance practices. Collaborates with product, engineering, data, and business stakeholders while providing technical leadership across conversational AI, intelligent agents, retrieval systems, and advanced analytics initiatives.

Lead and own design, execution, and maintenance of advanced automated test suites. Drive test automation strategy, CI/CD integration, API testing, tooling evaluation, metrics reporting, and provide technical leadership to ensure software quality.

Leads the design, development, maintenance, testing, optimization, and troubleshooting of complex software applications. Collaborates with cross-functional teams, documents technical requirements, resolves IT issues, prepares data, supports end users, and applies mathematical and statistical techniques. The role also promotes responsible AI tool usage, validates AI-generated code, and designs agentic workflows to improve engineering productivity.