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PLP Group
Senior Platform EngineerPLP Group • Milano, Italy
Senior Platform Engineer

Senior Platform Engineer

PLP Group • Milano, Italy
7 giorni fa
Descrizione dell’offerta di lavoro

Senior Platform EngineerWe are looking for an experienced Platform Engineer to join our growing team in Milan and help shape the future of our flagship project, Colosseum, one of Europe's most powerful AI supercomputers, currently in development.Designed to run our proprietary AI models at scale, it forms the compute backbone behind the intelligence we deliver to the world's most demanding industries.In this role, you will play a key part in ensuring optimal resource utilization across our AI infrastructure.

Scopra se questa opportunità è adatta a lei leggendo tutte le informazioni riportate di seguito.

You will build and operate the foundational platform capabilities required to orchestrate workloads and resources with precision and efficiency.Furthermore, you will be responsible for scaling and dynamically redistributing resources across tenants while integrating critical infrastructure metrics into the resource management framework to enable intelligent scheduling and optimization.

You will also work closely with Site Reliability Engineers and AI Cloud Engineers to design, implement, and continuously improve the platform.You will embed security controls directly into the platform foundation by implementing firewalls, enforcing least-privilege access policies, and applying network hardening practices, ensuring that security is built in from the ground up
- before code is even deployed.What You Have
* Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
* At least 6 years of experience as a Platform Engineer or in similar roles.
* Knowledge of NVIDIA infrastructure technologies, including NicO, DSX, and DCGM.
* Expertise in leak detection technologies and monitoring systems.
* Strong experience with container orchestration and virtualization technologies, including Kubernetes implementations for strong multitenancy, bare metal provisioning and system network configuration.
* Knowledge of digital twin technologies and platforms such as NVIDIA Omniverse.
* Solid understanding of MCP/A2A or equivalent
* Proficiency in Python and experience with software development best practices, including version control, testing, and CI/CD pipelines.
* Experience with Run:ai or similar AI workload orchestration and job scheduling frameworks.
* Expertise in parallel file systems, including Weka, NetApp, and Hammerspace.
* Strong knowledge of HPC networking technologies, including Ethernet, InfiniBand, NVLink, and NVIDIA BlueField.
* Experience with workload optimization and resource management frameworks.Who you are
* A versatile engineer, comfortable operating in complex and fast-paced environments.
* Driven and fearless, you proactively tackle challenges and overcome obstacles with determination.
* A systems thinker, capable of understanding the broader architecture and identifying dependencies across platforms and technologies.
* A collaborative team player who is enthusiastic, curious, and passionate about problem-solving, thriving both independently and within cross-functional teams.
* An effective communicator with strong interpersonal skills, able to engage with diverse stakeholders and foster collaboration.
* Fluent in English and eager to contribute in a multicultural and international environment.BenefitsPerks
* Learning Friday.

If our team members know more, so do we.

That's why we give everyone a training budget that they can spend on books, online courses or other training materials.
* Smart Working.

Trains can be a drag, you can save some commuting time by working from home.
* Salary is based on experience and topped up with other bonuses.We offer a competitive salary, as well as an opportunity to receive company equity.

The typical salary for this role ranges between € 50.000 and € 70.000.

As you gain experience and make more significant contributions to the business, your compensation will be reviewed to match your impact.

Additionally, depending on your seniority and your performance, you'll have the opportunity to receive stock options, with a variable value calculated from your base salary, giving you the chance to directly participate in the company's success.About DomynDomyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry.

It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture
- including LLMs, AI agents, and one of the world's largest supercomputers.

At the core of Domyn's product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack
- from hardware to application
- ensuring isolation, security, and governance throughout the AI lifecycle.

Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business's specific language, logic, and context.

Provided under an open-enterprise license, these models can be fully transferred and owned by clients.

Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems.

All solutions are managed via a unified platform with native tools for access management, traceability, and security.

Powering it all, Colosseum
- a supercomputer in development using NVIDIA Grace Blackwell Superchips
- will train next-gen models exceeding 1T parameters.

Domyn partners with Microsoft, NVIDIA, and G42.

Clients include Allianz, Intesa Sanpaolo, and Fincantieri.Please review our Privacy Policy here .AI disclaimerThis application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications.

All processing is carried out in accordance with applicable data protection, AI governance, and labour laws.

Human oversight is maintained at all stages, and final hiring decisions are made by people. xysqume

Personal data submitted as part of this application is not used to train AI models.
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