DevEx Engineer

• Application Deadline: Feb. 28 2026
• Vienna
• Hybrid
• Hourly salary: $60 - $70

Job Description

Key ResponsibilitiesDeveloper Experience & Platform Engineering

• Define own and execute the Developer Experience (DevEx) roadmap aligned with organizational goals.
• Design build and maintain internal developer platforms to standardize and simplify development workflows.
• Integrate and champion AI-assisted tools such as AI code generation intelligent code review automated documentation and workflow automation.
• Evaluate emerging AI development tools and incorporate them into existing engineering workflows.
• Drive best practices for Azure DevOps CI/CD pipelines local development tooling and cloud-native deployments.
• Reduce cognitive load by abstracting infrastructure complexities and enabling safe autonomous self-service capabilities.
• Build and optimize self-service provisioning testing and deployment pipelines.
• Partner with product teams to optimize feedback loops improving iteration speed and release quality.
• Measure and improve DORA SPACE and developer productivity metrics using data-driven insights.
• Lead developer enablement programs including training demos and onboarding for DevEx solutions.
• Embed security compliance and observability best practices into developer tools and processes.
• Ensure safe and compliant usage of AI tools aligned with NFCUs AI governance.
• Advocate for a culture of continuous improvement and engineering excellence.

Platform & Data Engineering

• Modernize and transform core data assets across SQL NoSQL and cloud-native data platforms.
• Design and implement efficient data flows transformations and data exchange pipelines.
• Work with complex and inconsistent datasets; collaborate with upstream teams to ensure quality.
• Define cost-efficient data storage strategies for CI/CD and platform data repositories.
• Architect reusable data assets data catalogs and expose them via Azure API Apps or visualization platforms.
• Aggregate process and analyze structured and unstructured data to provide actionable insights.
• Implement advanced observabilitymonitoring logging tracingacross developer workflows and data pipelines.