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Lead Product Software Engineer - Cloud Ops
$116,400–$204,100 year
On-site · Coppell, Texas, United States
Job Summary
As a Lead Product Software Engineer - Cloud Operations, you will own the infrastructure foundations for AI products at InnovateHub by designing cloud architecture, managing Terraform environments, and ensuring infrastructure compliance and security. Responsibilities include collaborating on cloud infrastructure design, building product health dashboards, defining SLIs/SLOs, and enabling developers with reusable templates and CI/CD patterns. A successful candidate will possess extensive experience with Azure services and Terraform, and will be comfortable bridging infrastructure and product engineering within a fast-paced Agile environment. Strong communication skills are necessary to liaise with both technical and non-technical stakeholders. Join Wolters Kluwer to make a significant impact in a customer-focused innovation-driven setting.
Required Qualifications
- 5+ years building and operating cloud infrastructure (Azure strongly preferred)
- 2+ years hands-on experience with Terraform (or equivalent IaC tools) in production environments
- Strong proficiency with Azure PaaS services: App Services, Functions, Cosmos DB, Key Vault, Virtual Networks, Application Gateway, and Azure AI Services
- Deep experience with Azure Monitor, Application Insights, Log Analytics, and KQL for observability and health reporting
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) including infrastructure deployment automation
- Experience with Agile/XP practices including TDD/BDD and pair programming
- Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)
Desired Qualifications
- Microsoft Azure AZ-104 (Azure Administrator) or AZ-305 (Azure Solutions Architect) certification
- Experience with Azure Landing Zones, hub-spoke network topologies, or enterprise-scale Azure architectures
- Background in regulated or compliance-driven environments, particularly financial services or tax/accounting software
- Experience with containerization (Docker, AKS) and service mesh patterns
- Familiarity with AI/ML infrastructure needs: model serving, vector database operations, and RAG system infrastructure
- Experience with platform engineering, developer experience (DevEx) tooling, or internal developer platforms
Additional Requirements
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
- Candidates must participate in interviews without the assistance of AI tools or external prompts.
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