Platform Engineer - Dev Ops

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 maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Scientific Compute capability within the Center of Excellence (CoE) is dedicated to accelerating scientific application development by utilizing cloud and on-premises computing solutions.

In this role, you'll work at the intersection of data science, biology, and engineering to build innovative analytical tools that bridge the gap between data generation and biological interpretation-helping unlock new avenues for scientific discovery and impact.

Minerva is providing the CS CoE with a cutting-edge application hosting cloud platform. This platform is designed to enhance the speed and agility of our digital transformation journey. The platform is secure, scalable, and flexible, enabling complex, data-driven application deployment in a container-based environment. This ensures elasticity and speed.

The platform's design as a container hosting solution enables users to seamlessly deploy, manage, and run any type of containerized application at scale across different clusters and regions. Additionally, the Minerva team provides advanced operational support for developers and operators, ensuring a secure and scalable environment.

In addition to container hosting, Minerva offers complimentary AWS data services, API gateways, and Kafka event streaming as a self-service option.

Minerva was developed with the overarching concept of leveraging technology to expand capabilities rather than relying on human resources. In practice, this means that we use APIs, GitOps, automated integration pipelines, and automated testing whenever possible.

We are currently in the process of merging two platforms (Minerva and Nebula) into a single product. Due to the recent merger, we are currently seeking a leader (tactical level) based in the American region to support our existing EU-based team.

We are seeking an experienced Cloud Architect and Engineer (5+ years) to join our team. In this role, you will be responsible for owning feature development and gRED-specific features, acting as our local representation, and managing stakeholders in America. You will also be the lead for Cloud onboarding (US), security (US), and disaster recovery (US). You will collaborate with other team members on platform innovations, architecture, and engineering.

• Represent the Minerva product locally in all US-based workloads.

• Take ownership of cloud onboarding, security, and disaster recovery for our US-facing services.

• Design and implement scalable, reliable, and secure infrastructure using Kubernetes on AWS EKS to support the deployment, scaling, and management of containerized applications.

• Utilize GitOps methodologies to manage infrastructure and application configuration as code, ensuring consistency, traceability, and auditability across development, staging, and production environments.

• Support MicroService-based applications (Python or Java) in a Kubernetes environment, facilitating application onboarding into the cloud.

• Develop and implement comprehensive Cloud Security strategies to protect sensitive data, infrastructure, and applications from potential threats, incorporating best practices in identity and access management, data encryption, and security monitoring.

• Collaborate closely with development, and product teams to streamline the software delivery process, ensuring efficient and seamless integration of new features and functionality.

• Continuously evaluate and adopt new tools, technologies, and best practices to optimize the DevOps pipeline and improve overall efficiency.

• You hold a BSc degree in Computer Science, Engineering, or a related field with 5 years of experience in DevOps engineering.

• You have a strong background in AWS Services and Kubernetes with proven experience in agile product development.

• You utilize GitOps methodologies for the management of platform configuration and deployment as code (e.g. ArgoCD, GitLab Pipelines, Terraform)

• You bring hands-on experience in cost optimization using a FinOps based methodology.

• You have a strong understanding of Cloud Security best practices and experience implementing security strategies in AWS environments.

• You are proficient in developing and supporting MicroService-based applications in a Kubernetes environment using Python or Java, and have experience with application onboarding into the cloud.

• You have excellent problem-solving skills and the ability to quickly learn and adapt to new technologies and tools.

• You bring strong communication and collaboration skills, with the ability to work effectively across teams to achieve shared goals.

The expected salary range for this position based on the primary location of California is between $133100.00 and $ 247100.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are available for this posting.

This position requires being onsite 3 days a week.

#ComputationCoE

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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