Principal Engineer - DevSecOps & AI

Join us at Wolters Kluwer and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.

As part of this mission, we’re looking for a driven and experienced Principal Software Engineer (DevSecOps) to act as the technical authority for automated delivery, security, and platform reliability across our product engineering organization.

This role is responsible for designing, building, and evolving highly automated CI/CD pipelines and secure software delivery platforms that enable teams to ship frequently, safely, and at scale.

You will operate as a hands-on technical leader, shaping DevSecOps strategy through code, automation, and architecture, while influencing standards and practices across multiple engineering teams.

The core mission is to make secure, compliant, and reliable software delivery the default — not the exception.

CI/CD & Delivery Platform Engineering

• Design and build highly automated, scalable CI/CD pipelines for:
  • Microservices, APIs, and platform services
  • Infrastructure-as-Code
  • AI/ML and Agentic AI workloads
• Establish pipeline blueprints that are:
  • Secure by default
  • Reusable and self-service
  • Cloud-agnostic where appropriate
• Enable progressive delivery strategies:
  • Blue-green and canary deployments
  • Feature flags and controlled rollouts

DevSecOps & Supply Chain Security

• Embed security controls directly into pipelines, including:
  • SAST, DAST, and SCA
  • Container and image scanning
  • IaC security and policy checks
  • SBOM generation and verification
• Design and enforce secure software supply chain practices:
  • Provenance and artifact signing
  • Dependency governance
  • Secrets management and rotation
• Partner with Security teams to translate policies into automated, enforceable controls

Cloud, Infrastructure & Automation

• Engineer platform automation using:
  • Kubernetes and container platforms
  • Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.)
  • GitOps patterns for infrastructure and application delivery
• Build secure, repeatable environment provisioning for:
  • Dev, test, staging, and production
  • Multi-tenant and regulated workloads
• Optimize pipelines and infrastructure for cost, speed, and reliability

​Observability, Reliability & Resilience

• Integrate observability into delivery pipelines:
  • Metrics, logs, and traces (e.g., OpenTelemetry)
  • Deployment health and rollback signals
• Define and support SRE-aligned practices:
  • Error budgets
  • Deployment reliability metrics
• Enable fast detection and recovery from pipeline or production failure

Technical Leadership & Influence

• Act as a principal-level technical advisor across engineering teams
• Set standards and reference implementations for:
  • CI/CD
  • Secure delivery
  • Platform automation
• Review designs and code for high-risk or high-impact areas
• Mentor senior engineers in DevSecOps and platform engineering practices
• Drive adoption of best practices through enablement, not mandates

DevSecOps & Platform Engineering

• 12+ years of software engineering experience, with deep focus on DevSecOps, CI/CD, and platform automation
• Proven track record of building and operating enterprise-scale automated delivery platforms
• Strong understanding of software supply chain security

CI/CD Tooling & Automation

• Extensive hands-on experience with:
  • CI/CD systems (e.g., GitHub Actions, GitLab CI, Azure DevOps, Jenkins)
  • Artifact repositories and registries
  • Pipeline-as-code and reusable templates
• Experience designing self-service developer platforms

Cloud & Infrastructure

• Strong experience with one or more cloud platforms (AWS, Azure, GCP)
• Deep knowledge of:
  • Kubernetes and container orchestration
  • Infrastructure-as-Code
  • Networking, identity, and secrets management
• Understanding of cloud-agnostic delivery patterns

Security & Compliance

• Hands-on experience implementing:
  • SAST, DAST, SCA
  • Container and IaC security scanning
  • Policy-as-code (OPA, similar)
• Familiarity with compliance frameworks (SOC 2, ISO 27001, PCI, etc.)
• Experience translating security requirements into automated controls

Engineering Mindset

• Strong coding skills in one or more languages (e.g., Python, Go, Java, Shell)
• Comfortable debugging complex pipeline and infrastructure issues
• Pragmatic, outcome-driven approach to security and automation
• Strong written and verbal communication skills

• Experience supporting AI/ML or Agentic AI pipelines
• Familiarity with GitOps tooling (Argo CD, Flux)
• Exposure to regulated or highly audited environments
• Experience contributing to internal developer platforms or golden paths

If you think that you have the needed requirements click on the apply button to join us and be the difference. If making a difference matters to you, then you matter to us.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status, in accordance with local regulations.

#LI-Hybrid

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.