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
To 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.
Our Interview Practices
To 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.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.