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Leading SRE initiatives with computational and ML scientists at a global healthcare company. Deep cloud and AI/ML systems expertise required. Collaboration with DDC colleagues, on-premises infrastructure management.
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Anforderungen
- PhD in Computer Science or related field with 2-7 years experience, or MS with 5-10 years experience, or BS with 7-12 years experience
- 5+ years leading technical operations in on-premises and cloud environments
- Deep understanding of on-premises infrastructure, cloud ecosystems (Kubernetes-based AWS), and AI/ML systems
- Ability to manage technical risks and ensure system reliability and scalability
- Strategic thinking and driving long-term optimization with urgency
- Experience in reducing tech debt, consolidating platforms, and deprecating legacy solutions
- Proven experience mentoring diverse teams
- Fostering a culture of collaboration, accountability, and continuous learning
- Strong oral and written communication skills
- Ability to engage stakeholders, provide clear direction, and navigate complex organizational structures
- Staying updated on emerging technologies and industry best practices
- Guiding technical decision-making
Aufgaben
- Join TSO Leadership team
- Collaborate with DDC colleagues
- Work with Computational Scientists
- Work with ML Scientists
- Work with Research Scientists
- Lead and deliver enterprise-scale technical operations
- Manage operations for Applications and Software
- Contribute as an SRE for Infrastructure
- Integrate expertise across on-premises operations
- Integrate expertise across cloud services
- Integrate expertise across AI/ML technologies
- Ensure high performance and user enablement
- Manage relationships with external vendors
- Develop strategic plans aligned with organizational goals
- Integrate managed services
- Leverage AI as a key accelerator
- Negotiate vendor contracts
- Ensure adherence to SLAs
- Apply software engineering principles to operations
- Scale and maintain highly reliable production systems
- Balance rapid feature releases with system stability
- Establish service level metrics (SLA, SLO, SLI)
- Implement error budgets
- Drive continuous improvement and innovation
- Ensure security standards adherence
- Ensure regulatory compliance
- Mitigate risks to safeguard systems and data
- Champion user onboarding
- Provide user training
- Offer technical support
- Enhance system usability
- Enhance troubleshooting capabilities
- Promote AI/ML adoption
- Foster a collaborative team culture
- Mentor team members
- Standardize processes
- Align with gCS values
Berufserfahrung
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Tools & Technologien
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