[Hiring] Sovereign Platform Engineer @Atos

Role Description

We are looking for a Sovereign Platform Engineer - Confidential Computing to help build secure sovereign cloud and AI platforms powered by confidential computing technologies.

At Bull, you will join the Enterprise Computing & Networking Competency Centre (ECN), driving innovation across R&D, Product Management, Support & Delivery, Manufacturing, and the CTO Office.

Working at the intersection of confidential computing, trusted hardware, sovereign cloud, and AI infrastructure, you will evaluate emerging technologies and transform them into scalable, production-ready platform capabilities.

As a technical lead, you will drive the evaluation, validation, and industrialization of emerging sovereign platform technologies. You will help ensure that:

• Sensitive data remains protected while in use through isolation and memory encryption
• Workloads are isolated from the host and hypervisor environment
• Platform operators cannot access confidential data
• Only verified and authorized workloads can access protected information

Key Responsibilities:

• Build and industrialize confidential computing platforms
• Design and implement Kubernetes-based platforms leveraging technologies such as Intel TDX, confidential containers, and Kata Containers
• Embed security-by-design principles including cryptography, secure boot, attestation, and secrets management
• Apply Zero Trust principles to workload identity, verification, and isolation
• Define reference architectures and deployable patterns for sovereign cloud environments
• Design lifecycle management, orchestration, and automation capabilities across private, hybrid, and sovereign cloud infrastructures
• Prototype, develop, and validate solutions
• Build prototypes and proofs of concept to evaluate emerging technologies
• Contribute to sovereign platform and DPU technology roadmaps
• Develop platform components and tooling using Go, Rust, Python, or C/C++
• Transform experimental concepts into validated assets ready for transfer to R&D
• Evaluate hardware/software integration across processors, accelerators, virtualization, containers, and orchestration layers
• Measure and optimize performance
• Benchmark and optimize platform performance across hardware, virtualization, container, and orchestration layers
• Assess security versus performance trade-offs
• Provide data-driven recommendations to support architectural and product decisions
• Leverage and contribute to open-source ecosystems
• Work with Kubernetes, KVM, QEMU, Kata Containers, Confidential Containers, attestation frameworks, and key management services
• Troubleshoot and improve components across the stack, including Linux system layers when required
• Contribute integrations, fixes, and enhancements aligned with platform objectives
• Bridge customer needs, hardware innovation, and cloud services
• Translate low-level security capabilities into consumable platform services
• Collaborate closely with Cloud Distinguished Architects, customer teams, and technology partners
• Support the definition and prioritization of confidential computing use cases
• Influence platform roadmaps, product requirements, and technology directions
• Engage internal and external stakeholders to evaluate and validate emerging technologies

Qualifications

• 10+ years of experience in platform engineering, infrastructure, cloud, cybersecurity, datacenter technologies, or related domains
• Experience working with R&D, product organizations, partners, and customers to industrialize innovative technologies
• Hands-on experience with Kubernetes, Linux, containers, cryptography, attestation, secure boot, or secrets management
• Experience with cloud orchestration, infrastructure automation, and systems engineering
• Practical development experience in Go, Rust, Python, or C/C++

Requirements

• Confidential Computing technologies, Trusted Execution Environments (TEEs), and attestation
• Hardware root of trust, platform integrity, and secure boot
• Sovereign infrastructure technologies including DPUs, trusted silicon, and accelerators
• Cloud-native, virtualization, and container technologies
• Linux and systems engineering
• Hybrid cloud orchestration and management platforms
• Performance engineering, benchmarking, and optimization
• Open-source platforms and collaborative development practices

Leadership Skills

• Lead complex technical initiatives from exploration through industrialization
• Translate emerging technologies into platform capabilities and architectural guidance
• Communicate effectively with engineers, customers, partners, and senior stakeholders
• Influence technical and strategic decisions across multiple organizations
• Build trusted relationships with customers, partners, and internal teams

Languages

• Professional fluency in English is required.
• French is considered a strong plus.

Location

• Eindhoven, Netherlands, or Remote within the Netherlands

Why apply?

This is a unique opportunity to work on some of the most advanced technologies shaping the future of sovereign cloud, confidential computing, and AI infrastructure. You will have the chance to influence technology decisions from exploration to industrialization, working closely with customer technical teams, R&D, Product Management, and the CTO Office. Your work will directly contribute to building secure, next-generation platforms for highly regulated and business-critical environments.