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About the role
Lead Enterprise Software Engineer Experience - 9 to 16 Years Wolters Kluwer is seeking a Lead Enterprise Software Engineer to design and drive the evolution of enterprise-scale platform engineering capabilities , leveraging Infrastructure as Code, AI-augmented engineering practices, and automation at scale . This role is responsible for defining how infrastructure and delivery systems are standardized, consumed, and governed across the organization, enabling a shift toward self-service platforms and spec-driven engineering models . The Lead Engineer plays a critical role in transforming software delivery into a scalable, consistent, and automation-first model , embedded with AI capabilities. Key Responsibilities Platform Engineering & IaC Strategy Design and govern enterprise Terraform module libraries Define reusable infrastructure patterns and platform standards Enable self-service infrastructure consumption via pipelines and APIs Spec-Driven Infrastructure Design and implement spec-driven infrastructure approaches Translate requirements into structured specifications (YAML/JSON) Enable automated IaC generation from specifications Ensure standardization, compliance, and scalability by design CI/CD Platform Architecture Define and standardize delivery ecosystems using: Azure DevOps Jenkins GitHub Actions GitLab CI/CD Establish reusable pipeline frameworks and best practices Drive adoption of pipeline-first and GitOps-based delivery models AI-Augmented Engineering Design and implement AI-assisted engineering workflows Define standards for: AI-generated code validation Prompt engineering practices Responsible AI usage Enable teams to adopt AI tools efficiently and safely Cloud Platform & API Engineering Design scalable platform services across Azure and AWS Build APIs and automation layers for: Infrastructure provisioning Platform consumption Implement event-driven and serverless architectures DevSecOps Governance Define and enforce: Policy-as-Code Security-by-design practices Compliance automation Ensure alignment with enterprise security and audit requirements Leadership & Enablement Lead cross-team technical initiatives Mentor engineers in: IaC best practices AI-enabled development DevSecOps maturity Act as a technical advisor to engineering and leadership teams Work Breakdown 40% Platform Engineering & IaC 25% Architecture & Design 20% Leadership & Enablement 15% AI Innovation & Strategy Qualifications Education Bachelor's degree in Computer Science, Information Systems, or related field or equivalent experience Experience 9+ years in software engineering, DevSecOps, or platform engineering Advanced expertise in Terraform and IaC architectures Strong experience with CI/CD tools: Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD Experience designing scalable cloud solutions in Azure and AWS Proven experience leading complex technical initiatives AI Capability Experience designing AI-augmented development workflows Ability to define: Validation standards for AI outputs Prompt engineering frameworks Understanding of LLM integration and responsible AI practices Core Competencies Strategic thinking and system design Platform and automation mindset Influence and cross-team collaboration Innovation and continuous improvement Our Interview Practices
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