Specialist Software Engineer

Amgen SA; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Amgen SA in Hyderabad, India is seeking an experienced HPC Cloud Engineer to design, integrate, and manage high performance computing systems across on-prem and cloud environments.

You will collaborate with data scientists to deploy ML workflows, optimize resources for cost, and lead CI/CD pipelines for multi-cloud deployments while ensuring security and reliability.

Qualifications

• Master's or Bachelor’s degree with 8 - 12 years of experience in Computer Science, IT or related field with hands-on HPC administration.
• Demonstrable experience in cloud computing (AWS) and cloud architecture.
• Proficiency with job scheduling and resource management tools (SLURM, PBS, LSF).

Responsibilities

• Implement, and manage cloud-based infrastructure that supports HPC environments for data science workflows.
• Collaborate with data scientists and ML engineers to deploy scalable machine learning models into production.
• Ensure the security, scalability, and reliability of HPC systems in the cloud.
• Optimize cloud resources for cost-effective and efficient use.
• Keep abreast of the latest in cloud services and industry standard processes.
• Provide technical leadership and guidance in cloud and HPC systems management.
• Develop and maintain CI/CD pipelines for deploying resources to multi-cloud environments.
• Monitor and fix cluster operations/applications and cloud environments.
• Document system design and operational procedures.

Skills

Cloud computing AWS

Cloud architecture

Docker

Singularity

Terraform

CloudFormation

Packer

Ansible

Git

Python

Bash

Linux administration

SLURM

PBS

LSF

Storage Lustre

GPFS

Ceph

Networking security

Kubernetes EKS

Education

Bachelor’s or Master’s degree in Computer Science/IT or related field

Job description

Job Description

Role Description:

The role is responsible for the design, integration, and management of high performance computing (HPC) systems that encompass both hardware and software components into the organization’s network infrastructure. This individual will be responsible for all activities related to handling and supporting the Business and platforms including system administration, as well as incorporating new technologies under the challenge of a sophisticated and constantly evolving technology landscape. This role involves ensuring that all parts of a system work together seamlessly to meet the organization’s requirements.

Roles & Responsibilities:

• Implement, and manage cloud-based infrastructure that supports HPC environments that support data science (e.g. AI/ML workflows, Image Analysis).

• Collaborate with data scientists and ML engineers to deploy scalable machine learning models into production.

• Ensure the security, scalability, and reliability of HPC systems in the cloud.

• Optimize cloud resources for cost-effective and efficient use.

• Keep abreast of the latest in cloud services and industry standard processes.

• Provide technical leadership and guidance in cloud and HPC systems management.

• Develop and maintain CI/CD pipelines for deploying resources to multi-cloud environments.

• Monitor and fix cluster operations/applications and cloud environments.

• Document system design and operational procedures.

Basic Qualifications and Experience:

• Master's or Bachelor’s degree with 8 - 12 years of experience in Computer Science, IT or related field with hands-on HPC administration OR

Functional Skills:

Must-Have Skills:

• Demonstrable experience in cloud computing (preferably AWS) and cloud architecture.

• Experience with containerization technologies (Singularity, Docker) and cloud-based HPC solutions.

• Experience with infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, Packer, Ansible and Git.

• Expert with scripting (Python or Bash) and Linux/Unix system administration (preferably Red Hat or Ubuntu).

• Proficiency with job scheduling and resource management tools (SLURM, PBS, LSF, etc.).

• Knowledge of storage architectures and distributed file systems (Lustre, GPFS, Ceph).

• Understanding of networking architecture and security best practices.

Good-to-Have Skills:

• Experience supporting research in healthcare life sciences.

• Experience with Kubernetes (EKS) and service mesh architectures.

• Knowledge of AWS Lambda and event-driven architectures.

• Exposure to multi-cloud environments (Azure, GCP).

• 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).

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC)

• AWS Certified Solutions Architect - Associate or Professional

Soft Skills:

• Strong analytical and problem-solving skills.

• Ability to work effectively with global, virtual teams

• Effective communication and collaboration with cross-functional teams.

• Ability to work in a fast-paced, cloud-first environment.

Shift Information:

This position requires you to work a Standard Shift with Flexibility to Work Early or Late for Overlap

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.