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Specialist Cloud HPC Architect - R&D Omics

Specialist Cloud HPC Architect - R&D Omics

ConfidentialHyderabad / Secunderabad, Telangana
30+ days ago
Job description

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.

    • Skills Required

    Hadoop, Spark, Architect

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