Azure Senior Cloud Architect
Pubblicato il 23-08-2026 - Devoteam Alegri in Varese
Job Description Qualifications Additional Information Soft Skill Richieste:
For a prestigious customer - we are looking for dedicated Data / AI Engineers (Lead Engineer and seniors to leverage their extensive experience in Data engineering, AI and public cloud areas, to interpret our customers’ business and technical requirements in order to extract the value from their data, using Dataiku and GCP products and services as well as other industry-known technologies.
In this position you will:
- work as part of the Data & AI Factory team, working with the customer to support their data-ops and AI projects
- be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations
- help to build, maintain and troubleshoot data observability solutions to improve data quality
- help turn data into valuable business insights, preparing custom solutions optimised for each client
- act as a trusted advisor for junior team members
- lead by example
Note: this position may require on-call work, including overnight and weekend availability.
You're a mid-level engineer who enjoys breadth, you're comfortable writing Python backends, curious about AI, and not afraid of data pipelines. You don't need to be an experienced in everything yet but you're motivated to grow across all three areas. You like picking up new tools quickly, you communicate well, and you get things done.
The role
You'll be working on our Managed Cloud Compliance product, a platform that collects, transforms and reports security and compliance data from Azure, AWS, and GCP environments. Your work will span three areas:
- Python backend development, building and maintaining the services and APIs that power the platform;
- Agentic AI & AI-assisted development, working with modern AI tooling (including Claude Code, MCP, OpenAI SDK, and similar technologies) to build intelligent, automated workflows and solutions;
- Data engineering, designing and maintaining data pipelines tha