SYSTEM ENGINEER ()

Commitment %26amp; contract.
nsert fixed-term employee contractLocation.
CT@Morego, Via Morego 30 - Genova - ItalyStep into a world of endless possibilities, together let's leave something for the future!At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era.
We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience.
Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation.
With us, your curiosity will know no bounds.
e are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment.
We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people.
By embracing diversity, we believe science can achieve its fullest potential.
THE ROLEYou will be working in a multi-disciplinary group, where people with different backgrounds collaborate, each with their own expertise, to support IIT research activity.
heInfrastructure Management Office of the ICT Directorate coordinated by Stefano Bencetti is a multi-disciplinary group where people design, develop, deploy, and maintain systems to support services aimed at research or administrative users, in close collaboration with the Research Organization Directorate.
IT strongly believes that data organization, documentation and dissemination (even in an open manner when possible) became crucial to enable cutting-edge research, by enhancing research reproducibility and achieving effectiveness in the long term.
Therefore, IIT has been launching a Research Data Management (RDM) institutional plan aimed at unlocking the full potential of research data, as the main fuel to innovative data-driven scientific approaches.
he IIT strategic plan has further strengthened IIT%27s commitment in the RDM field by confirming initiatives oriented to research-data driven and AI/ML data-ready.
This plan includes investments in three main directions.
infrastructures and tools, policies and guidelines, and training and support.
Driven by this plan, IIT has been developing infrastructures to enable storage of large amounts of data, high-performance computing and preservation and sharing of research data.
n one side, IIT has adopted an institutional repository, available to IIT scientists to describe datasets with standard and rich metadata, preserve and share them following the European philosophy "as open as possible, as closed as necessary"on the other side IIT has been deploying a new enterprise-level on-premises storage infrastructure, consisting of 5 PB of usable backed-up storage space, decentralized across 14 IIT centers with centralized monitoring and management of data, metadata, and securityIIT can also leverage on state-of-the-art High-Performance Computing (HPC) services available to IIT researchers in all domains.
Moreover, the integration of HPC facilities and storage will enable the future development of High-Performance Data Analytics (HPDA) applications.
n this context, the hiring of a mid-senior expertise system engineer is foreseen for the coming years.
e aim at implementing an ecosystem of integrated services and tools for RDM, grounded on a shared layer of (meta)data standards and a technical infrastructure that can be sketched as a layered architecture of hardware, software and service components.
You will play a key role in the design, development and application of innovative methods and tools to manage research data and processes in a heterogenous research domain.
ur strategy requires to create a unified RDM environment that allows researchers to.
asily access scientific data from various sources.
anage data efficiently and securely.
hare data with other researchers.
reserve and reuse data for the future.
nable data driven research and AI tools integration.
ithin the team, your main responsibilities will be.
aintaining and integrating various systems, includingdevelopment and maintenance of scripts and automation for storage systemhosting,organization, configuration and migration of data management systems and association of metadata to the relevant data set via automated systemsmanagement of authentication and authorization (Identity and Access Management) on systems and among systemsmonitoring and test system operations and performanceensuring systems compliance with established quality and safety standardscollaboration to the management of flow of scientific data from acquisition tools (such as laboratory instruments) towards storage systemsworking with researchers to understand the dataset to be archived (data life cycle from live to frozen data, peculiarities or intrinsic characteristics of data depending on the specific domain, size of the data collected, timing for saving and backup of data,...)ESSENTIAL REQUIREMENTSMaster%27s degree in Computer Science, Information Engineering or related disciplines.
t least 3 years of experience in system administrationProven experience in integrating storage and data management systemsKnowledge of operating systems such as Linux, UNIX, WindowsKnowledge of scripting languages (e.
.
bash, Python)Knowledge in the security fieldWillingness to learn new technologiesStrong focus on stakeholder needs and expectationsGood command of the English language ADDITIONAL SKILLS Knowledge of tools for IT automation (e.
.
Ansible)Knowledge of IBM suite of data management Spectrum Scale, Spectrum Discovery, Spectrum ControlKnowledge or experience in integration of research electronic laboratory notebooks and storageKnowledge of modern authentication protocols for web authentication and federationKnowledge of containerized deployments (e.
.
kubernetes) and virtualization platforms (e.
.
VMware, Proxmox)Knowledge of Git versioning systemKnowledge of main cloud platforms (such as AWS, Microsoft Azure)Knowledge of basic Layer 2 and 3 networkingAbility to work in a challenging and international environmentCapacity to work autonomously and collaboratively in a highly interdisciplinary environmentAnalytical reasoning skills and a growth mindsetCOMPENSATION PACKAGEA yearly gross salary ranging between and euros, which may include a bonus option depending on your role and contractPrivate health care coveragedepending on your role and contractTwo days of teleworking per week and flexible working hours are available for certain rolesMeal vouchersdepending on your work contractPlease submit your application using the online form and including a detailed CV.
pplication's deadline.
December 31st, To discover more about life at IIT, visit the dedicated section here.
https://www.
it.
t/en/work-at-iit