AI-enabled engineering role

Multi-Cloud Architect

Design secure, resilient and cost-aware multicloud systems, using AI-assisted analysis and automation to turn requirements into deployable decisions.

ItalyCloud Architecture

Job Description

Mission Nexum is looking for a Multi-Cloud Architect to design cloud and hybrid architectures that can be implemented, operated and governed. You will connect application, data, AI, security and platform requirements across Google Cloud, Microsoft Azure and AWS, making architectural trade-offs explicit and measurable. What you will do - Assess workloads, dependencies, security risks, portability, performance and recovery requirements - Define patterns for landing zones, identity and access management, networking, security, data services, containers and Kubernetes - Create migration and modernization roadmaps, architecture decision records and cost, resilience and capacity scenarios - Translate designs into Terraform-based blueprints, reusable platform patterns and delivery guardrails with DevOps and SRE teams - Review implementations for reliability, observability, disaster recovery, security and operational readiness - Communicate options, risks and decisions clearly to technical and business stakeholders This job posting is addressed to both genders, in compliance with laws 903/77 and 125/91 on equal treatment in the workplace and against gender discrimination. We welcome candidates of all ages and nationalities, in accordance with legislative decrees 215/03 and 216/03. Nexum also encourages applications from people with disabilities, in compliance with current regulations.

How AI supports the role

Use approved AI-assisted workflows to compare architecture options, draft infrastructure diagrams and Terraform modules, analyze configurations and cost scenarios, and keep documentation current. Every AI-generated artifact is validated through peer review, tests, policy checks and official provider documentation; confidential data remains within approved environments.

Gemini / Vertex AIAzure AI FoundryAmazon BedrockChatGPT / ClaudeTerraformKubernetes

Tool choices vary by project. AI-assisted work remains subject to human review, security controls and documented validation.

What You Bring

  • Multicloud Architecture

    Architecture design across at least two major cloud providers and hybrid environments.

  • Security & Connectivity

    IAM, networking, segmentation, security controls, resilience and disaster recovery.

  • Infrastructure as Code

    Terraform, Kubernetes, reusable blueprints and delivery guardrails.

  • Architecture Leadership

    Documented trade-offs and clear communication with engineering and business stakeholders.

How We Work

  • AI-Assisted Engineering

    Approved AI tools accelerate analysis, implementation and documentation; people remain accountable for every released artifact.

  • Production Perspective

    The work connects design, delivery, observability and continuous improvement rather than stopping at isolated prototypes.

  • Evidence & Traceability

    Decisions are supported by tests, metrics, provenance and documented trade-offs.

  • Cross-Functional Delivery

    Cloud, data, AI, security and business requirements are connected around real operating constraints.

Contact Us

Let's start a great collaboration

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