Let s do this. Let s change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen.

The IS Architect designs the supporting infrastructure (servers, network, storage, etc.) for scalability, reliability, manageability, performance, and security per solution needs ensuring adherence to enterprise standards and patterns.

Proper design of the infrastructure environment aligned to the needs of the solution promotes stability, scalability, and effective operation of the supported systems. Furthermore, by adhering to enterprise standards, solution delivery is accelerated and cost reduction realized while gaining additional benefits from a known platform that can be maintained and monitored.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

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.

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