Jobs at Wolters Kluwer

Designs, develops, deploys, and maintains scalable enterprise software and cloud platforms. Responsibilities include managing CI/CD pipelines, optimizing AWS/Azure/GCP infrastructure, applying SRE practices, automating operational tasks with scripting and IaC, implementing security controls, documenting technical processes, and collaborating across engineering, operations, QA, and security teams. The role also explores generative AI and translates business requirements into technical solutions.

Audits electronically submitted legal fee and expense invoices for compliance with billing guidelines, verifies UTBMS codes, adjusts line items, documents decisions, and supports quality assurance and performance reporting. The role requires legal billing expertise, knowledge of civil procedure, strong analytical judgment, communication, organization, proofreading, and proficiency with Microsoft Office and electronic legal billing systems.

Leads and mentors engineers developing enterprise cloud services, APIs, automation, and UIs using Python, Azure, AWS, infrastructure-as-code, DevOps, and GenAI. Responsibilities include software architecture, full-stack development, cloud automation, testing, performance optimization, secure SDLC, API and data design, troubleshooting, documentation, stakeholder communication, and project delivery. The role also establishes engineering standards, operationalizes services, evaluates emerging technologies, and guides responsible AI adoption.

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.

Reviews and audits electronic legal invoices for compliance with billing guidelines, verifies UTBMS codes, adjusts improper charges, and documents decisions. The role analyzes legal service agreements, supports quality assurance and reconsideration reviews, conducts performance analysis, develops procedures, mentors analysts, and collaborates with AI decision-science teams to improve legal billing tools.

Leads data science, AI, and machine learning capabilities across enterprise platforms. Develops cloud-based content classification systems, governs content lifecycle and metadata enrichment, embeds AI intelligence into product roadmaps, and creates agentic AI frameworks. Partners with product, engineering, and domain teams to align technical execution with business goals while mentoring operations and enablement teams.

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.

Supervise accounting activities within a Finance Shared Service organization, including complex financial reporting, reconciliations, month-end and year-end close, financial analysis, audit coordination, compliance, transaction oversight, accounting system improvements, and special projects.

Develops and supports data science, machine learning, Generative AI, NLP, LLM, RAG, and Agentic AI solutions. Responsibilities include data preparation, feature engineering, model development and evaluation, experiment tracking, API and pipeline development, deployment support, monitoring, visualization, documentation, and collaboration with engineering, product, and business stakeholders. The role emphasizes reliable, maintainable, governed, and responsible AI solutions.

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.

Coordinate end-to-end India payroll processing, including employee data validation, payroll inputs, vendor coordination, reconciliations, statutory compliance, audits, final settlements, employee queries, documentation, system testing, and process improvements. The role requires advanced payroll expertise, independent problem-solving, cross-functional communication, and may coordinate others without direct supervisory responsibility.

Design, build, and maintain cloud infrastructure and automation using IaC (Terraform) across Azure and AWS. Develop and maintain CI/CD pipelines (ADO, Jenkins, GitHub Actions, GitLab CI/CD), integrate security and testing into delivery, use AI-assisted tools to improve productivity, and support operations, monitoring, and incident resolution.

Design and build scalable Playwright and TypeScript UI/API automation frameworks, integrate testing into CI/CD, reduce flakiness, troubleshoot failures, and establish automation architecture and quality metrics. Apply Agentic AI, LLM evaluation, RAG testing, self-healing automation, and intelligent test analysis. Collaborate with engineering and product teams, contribute to test strategy and architecture reviews, mentor engineers, and develop reusable automation tools and AI-enabled quality engineering solutions.

Reviews audit content and documents for accuracy, spelling, grammar, and alignment with master versions before customer release. Performs QA checks on content updates, conducts basic application functionality testing, documents findings, and collaborates with content developers and technical teams to resolve issues. The role also provides feedback to improve audit content clarity and usability.

Senior technical leader designing, building, and optimizing enterprise-scale cloud platforms and DevSecOps practices. Own cloud architecture (AWS/Azure/GCP), IaC (Terraform), CI/CD, container/serverless adoption, SRE-driven monitoring, security/compliance, and mentor engineering teams while integrating generative AI into solutions.

Develop and integrate enterprise cloud software services using Python, Generative AI, serverless technologies, CI/CD, and Infrastructure as Code. Build automated IT operations solutions with AWS, Azure, Ansible, Terraform, Jenkins, and Azure DevOps. Contribute to cloud governance, security, compliance, testing, code quality, and operational standardization. Collaborate with architecture, engineering, cloud operations, and security teams while driving projects, documenting implementations, and reporting progress to stakeholders. Occasional domestic and international travel is required.

Lead strategic product initiatives for a tax technology platform, define product strategy and roadmaps, drive growth and adoption, partner with cross-functional teams, conduct market and customer research, and manage end-to-end product lifecycle from discovery through launch and optimization.

Supports enterprise IAM and cybersecurity operations across Active Directory, Entra ID, SSO, MFA, and identity lifecycle processes. Investigates security alerts using SIEM, EDR, cloud, and infrastructure tools; resolves IAM incidents; supports RBAC, privileged access, access reviews, audits, and compliance activities. The role also maintains documentation, identifies automation opportunities, mentors junior analysts, and works rotating 24x7 shifts in collaboration with global IT and cybersecurity stakeholders.

Quota-carrying role owning named enterprise accounts to drive net-new ARR for a unified CPM/EPM SaaS platform. Manage full sales cycle (6–12 month, six- and seven-figure deals), engage CFO-office stakeholders, co-sell with Big 4 partners, expand product lines, and coordinate presales, marketing, services, and partners to achieve bookings.

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.