Platform Technical Operations Lead

About the role

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 these 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 gives technical direction to junior engineers and contractors.

Key responsibilities

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

Required profile

• Bachelor's or Master's degree in computer science, engineering, computational science or a related field, or equivalent experience; typically 4-7 years of relevant experience with a bachelor's degree.
• Experience supporting infrastructure and platforms across cloud and on-premises environments, with strong AWS experience and a strong understanding of Linux, networking, storage, compute, distributed systems and cloud infrastructure.
• Experience providing technical leadership for complex production platforms or infrastructure services.
• Ability to collaborate across engineering, infrastructure, security, support and scientific teams.
• Preferred: experience with HPC or large-scale shared compute environments (e.g., Slurm, AWS ParallelCluster) and with scientific applications, research computing, GPU or AI/ML workloads.

Required skills

• Software development or scripting in Python, Go or Bash, plus infrastructure-as-code, configuration management and image automation tools such as Terraform, Terragrunt, AWS CloudFormation, Ansible and Packer.
• Containers and orchestration (Docker, Kubernetes, Helm) and CI/CD and GitOps (GitLab CI/CD, ArgoCD).
• Monitoring and observability (Grafana, Prometheus, Loki).