
IT Systems Architect
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in Austria.
• Collaborate with the Competence Center Scientific Computing (CCS), Research Software Engineers, and users to design a Scientific Computing platform.
• Create proof-of-concept solutions and evaluate their effectiveness alongside the CCS and researchers.
• Integrate systems within the current IT framework, utilize existing services, and set up interfaces with cross-university infrastructures.
• Develop and enhance a platform dedicated to Scientific Computing, storage, and machine learning.
• Provide support for the infrastructure from the initial concept phase through pilot testing and into regular operation.
• Methodically evaluate requirements for storage, Scientific Computing, and machine learning.
• Formulate technical concepts and set up a pilot installation tailored to the needs of research.
• Work in partnership with Research Software Engineers on the integration and management of scientific software.
• Choose and coordinate with implementation partners.
• Continuously improve systems based on user feedback while ensuring quality standards are met.
• Offer technical assistance to users in collaboration with the CCS.
• Engage in knowledge exchange with universities both in Austria and internationally.
• Maintain continuous operations of the infrastructure, including patch management and IT security monitoring.
• A completed relevant university degree, such as in computer science, data science, or another closely related research field, or an equivalent qualification with pertinent professional experience.
• Proficient in cloud-native architectures.
• Familiarity with shared computing and storage infrastructures, including OpenStack, Ceph, and S3.
• Experience in automation, pipelines, and Infrastructure as Code (IaC).
• Knowledge of availability and resource monitoring.
• Hands-on experience managing research data, research infrastructures, or scientific data workflows.
• Skilled in analyzing requirements with researchers and converting research needs into functional and technical specifications or solution alternatives.
• Practical experience in independently developing, testing, and documenting technical prototypes.
• Capable of testing and assessing technical solutions with researchers during pilot operations.
• Possess a security-first mindset.
• Strong consulting and knowledge-transfer abilities, including training and information services.
• Excellent proficiency in spoken and written German and English.
• Structured work approach, teamwork capabilities, service orientation, and a commitment to ongoing professional development.
• Preferred: Experience with High Performance Computing in university settings, specifically ASC or MUSICA.
• Preferred: Experience handling large or distributed datasets and high-performance networking between storage and computing systems.
• Preferred: Background in a university environment.
• Flexible working hours.
• Opportunities for remote work.
• An inspiring work environment within a dedicated, diverse team.
• Excellent public transport connections.
• Internal professional development opportunities with a wide selection of free courses.
• Competitive compensation that reflects relevant professional experience.
• Commitment to equal opportunities, support for women, and diversity.
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