Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die 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. Within Roche’s Computational Sciences Center of Excellence, Scientific Computing provides the scalable computing platforms and infrastructure that enable researchers across pRED and gRED to accelerate data-driven science and AI/ML workloads.

The Software Engineer (Platform TechOps Lead) provides senior technical leadership for the operation, reliability, and lifecycle management of Scientific Computing platforms and services across AWS, hybrid infrastructure, and specialized scientific computing environments. The role leads complex L3 and selected L2 support, drives automation and operational improvements, and provides technical direction to junior engineers and contractors.

The Opportunity

• Provide technical leadership for Scientific Computing platform operations, complex L3 escalations, selected L2 support, and continuous improvement, while helping establish scalable support practices, runbooks, escalation paths, operational readiness, and knowledge transfer.
• Build automation, tooling, observability, monitoring, and alerting capabilities that reduce operational toil and improve platform reliability, supportability, maintainability, and service health.
• Provide technical leadership for AWS, on-premises, and hybrid compute, storage, networking, and platform services, including upgrades, migrations, lifecycle activities, and integration of scientific applications and services.
• Participate in incident response and root cause analysis, ensuring lessons learned translate into durable platforms and operational improvements.
• Support data lifecycle, access, identity, and integration requirements across Scientific Computing services.
• Partner closely with Engineering and other technical teams to ensure new capabilities are operationally ready and supportable, while providing technical direction, mentoring, and work coordination for junior engineers and contractors.
  
  

Who You Are

• Bachelor’s or Master's degree in computer science, engineering, computational science, a related field, or equivalent experience. Typically 4-7 years of relevant professional experience with a bachelor’s degree, with equivalent experience considered for advanced degrees or comparable practical experience.
• Experience supporting infrastructure and platforms across cloud and on-premises environments, with strong experience in Amazon Web Services and a strong understanding of Linux systems, networking, storage, compute, distributed systems, and cloud infrastructure concepts.
• Experience providing technical leadership for complex production platforms or infrastructure services, including leading technical discussions, establishing operational practices, and coordinating work across multiple contributors.
• Software development or scripting experience using languages such as Python, Go, or Bash, together with infrastructure-as-code, configuration management, and machine image automation technologies such as Terraform, Terragrunt, AWS CloudFormation, Ansible, and Packer.
• Experience with containers and orchestration technologies such as Docker, Kubernetes, and Helm, as well as CI/CD and GitOps practices using technologies such as GitLab CI/CD, ArgoCD, or similar.
• Experience with monitoring and observability technologies such as Grafana, Prometheus, Loki, or similar, including troubleshooting complex production issues, leading incident and root cause analysis activities, and translating recurring operational issues into automation, platform improvements, documentation, or engineering requirements.
• Ability to collaborate effectively across engineering, infrastructure, security, support, and scientific teams.
• Experience with High Performance Computing (HPC) or other large-scale shared compute environments, including familiarity with workload schedulers such as Slurm and cloud-based HPC platforms such as AWS ParallelCluster.
• Experience supporting scientific applications, research computing, GPU, or AI/ML workloads.

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.