Roche

Healthcare

PrincipalSiteReliabilityEngineer

basel, basel-city, switzerland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Principal Site Reliability Engineer at Roche. Skills: Site Reliability Engineering, Technical Operations, Cloud Services, AI/ML Technologies. Develop strategic plans. Implement strategic plans”

What You'll Achieve.

Deliver more innovative medicines; Life-changing medicines; High performance; Efficient service delivery; Operational excellence

Industry & Context.

Healthcare

What They're Looking For.

Must Have

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, Deep understanding of cloud ecosystems (especially Kubernetes-based AWS environments), Deep understanding of AI/ML systems, Ability to manage technical risks, Ability to ensure system reliability and scalability, Ability to think strategically, Ability to drive long-term optimization, Experience in reducing tech debt, Experience consolidating platforms, Experience deprecating legacy solutions, Oral and written communication skills, Ability to engage stakeholders, Ability to provide clear direction, Ability to navigate complex organizational structures, Staying updated on emerging technologies, Staying updated on industry best practices

Nice to Have

Proven experience mentoring diverse teams, Fostering a culture of collaboration, Fostering a culture of accountability, Fostering a culture of continuous learning

What You'll Do.

Develop strategic plans

Implement strategic plans

Integrate managed services

Integrate on-premises operations

Integrate cloud initiatives

Leverage AI as accelerator

Manage vendor relationships

Negotiate vendor contracts

Apply software engineering principles to operations

Scale production systems

Maintain production systems

Balance feature releases

Ensure system stability

Ensure system performance

Establish Service Level Metrics

Establish error budgets

Implement change management

Ensure adherence to security standards

Ensure adherence to regulatory requirements

Champion user onboarding

Champion user training

Champion user support

Enhance system usability

Enhance troubleshooting capabilities

Enhance AI/ML adoption

Foster collaborative team culture

Foster high-performing team culture

Implement standardization

Align with gCS values

How You'll Work.

Team & Collaboration

Work closely with DDC colleagues; Work directly with Computational Scientists; Work directly with ML Scientists; Work directly with Research Scientists; Work closely with vendors; Foster a culture of collaboration

Communication Scope

Oral communication skills; Written communication skills; Ability to engage stakeholders; Ability to provide clear direction; Ability to navigate complex organizational structures

Full Job Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. ### ### The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide. Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making. The Technical Services and Operations (TSO) group within DDC is accountable for providing application support (Level 1-3) for hundreds of software solutions. In addition, TSO is responsible for DevOps and Opera

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