Specialist Cloud HPC Architect - R&D Omics

Roles & Responsibilities:

• Develop infrastructure reference models, standards, and patterns to guide and govern IS project delivery.
• Develop the enterprise infrastructure target state architecture aligned with Amgen s strategic goals.
• Develop infrastructure roadmaps detailing initiatives and landmarks to meet the target state architecture .
• Assist with identifying, developing, and leading innovation initiatives including proof-of-concept exploration.
• Participate in architecture reviews to provide governance over the use of infrastructure assets .
• Partner closely with LFA role to drive enterprise adoption of architecture standard processes .
• Promotes the use of a shared infrastructure roadmap to reduce costs and improve how information flows.

Basic Qualifications and Experience:

• Bachelor s/master s degree with 8 - 13 years of experience in IS Architecture, or related field.

Preferred Qualifications:

• 2+ years of experience in biopharma or life sciences.

Functional Skills:

Must-Have Skills:

• Demonstrable experience designing cloud architecture and High-Performance Computing (HPC) cloud computing (AWS Batch, AWS HealthOmics, AWS PCluster).
• Proficiency in scripting languages (Python, Bash) and containerization technologies (Docker, Kubernetes).
• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Knowledge of networking, security, and database technologies in a cloud environment.

• Good-to-Have Skills:

  Experience with job schedulers (like SLURM, PBS), resource management, and system monitoring tools (DynaTrace).
• Strong Knowledge of Linux/Unix operating systems (RHEL/Ubuntu).
• Excellent problem-solving, communication, and team collaboration skills.
• Proficiency with virtual compute environments (EC2).
• Solid background in AI/ML technologies, with experience in deploying ML models.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch) and data pipelines.
• Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Experience in an Agile development environment.
• Prior work with distributed computing and big data technologies (Hadoop, Spark).
• Operational experience running large scale platforms, including AI/ML platforms.

Soft Skills:

• Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs.
• Collaborative with superb communication skills.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented with a focus on achieving team goals.