Job Description

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Responsible for overseeing the end-to-end operation of an IT service in accordance with predefined service level agreements. This encompasses the thorough understanding and meticulous tracking of all service dependencies and proactive lifecycle management.

YOUR CHALLENGE

• Part of the 3rd level support for a Datalake house (platform operations)

• Member of an Agile program to support change initiatives

• Support Operations, Support, Maintenance, and overarching Service Lifecycle

• Collaborating closely with 1st, 2nd level, DevOps team, and external service providers

• Act as gatekeeper for change in the platform and ensure compliance with IT governance (e.g. Security, Risk Management, Technical Debt Management etc.)

• Improve continuously the service quality, availability, performance, capacity, and knowledge management

• Ability to be self-sufficient and detail orientated in trouble shooting of technical platform components

• Ensure proper tailoring and implementation of non-functional requirements in collaboration with the IT Service Owner and Application Engineer and coordinate the transition into test and production environments

YOUR PROFILE

• 5+ years of experience in projects and/or operations of IT applications and/or Data platforms

• Dynamic and agile mindset, being passionate about operations, operational improvements, and automation

• Able to work under pressure and manage a portfolio of tasks

• Excellent problem-solving and decision-making abilities

• Strong analytical, communication, interpersonal, co-ordinational and leading skills

• Exposure to tools and technologies related to IT service management, Operations and Governance

• Familiarity with Information Technology Infrastructure Library (ITIL) and other relevant frameworks

• Experience / understanding of Data Lake / Data Lake House technology stake (Kafka, Kubernetes, S3, VMware)

• Experience / understanding of Data architecture, data pipelines and data products

• Proven experience in IT service management, operations, and IT governance

• Relevant higher education and professional background within computer science

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