Senior High Performance Computing Engineer
Amgen
Senior High Performance Computing Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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
What we expect of you
- Master’s degree with a 4 - 6 years of experience in Computer Science, IT or related field with hands-on HPC administration
- OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field with hands-on HPC administration
- OR Diploma with 10-12 years of experience in Computer Science, IT or related field with hands-on HPC administration
- 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
Must-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)
- Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC)
- AWS Certified Solutions Architect – Associate or Professional
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Compensation
10-12
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Experience supporting research in healthcare life sciencesintermediate
- Experience with Kubernetes (EKS) and service mesh architecturesintermediate
- Knowledge of AWS Lambda and event-driven architecturesintermediate
- Exposure to multi-cloud environments (Azure, GCP)intermediate
- Familiarity with machine learning frameworks (TensorFlow, PyTorch) and data pipelinesintermediate
- Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.)intermediate
- Experience in an Agile development environmentintermediate
- Prior work with distributed computing and big data technologies (Hadoop, Spark)intermediate
- Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC)intermediate
- AWS Certified Solutions Architect – Associate or Professionalintermediate
- Strong analytical and problem-solving skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- Effective communication and collaboration with cross-functional teamsintermediate
- Ability to work in a fast-paced, cloud-first environmentintermediate
Required Qualifications
- Master’s degree with a 4 - 6 years of experience in Computer Science, IT or related field with hands-on HPC administration (experience)
- OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field with hands-on HPC administration (experience)
- OR Diploma with 10-12 years of experience in Computer Science, IT or related field with hands-on HPC administration (experience)
- Demonstrable experience in cloud computing (preferably AWS) and cloud architecture (experience)
- Experience with containerization technologies (Singularity, Docker) and cloud-based HPC solutions (experience)
- Experience with infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, Packer, Ansible and Git (experience)
- Expert with scripting (Python or Bash) and Linux/Unix system administration (preferably Red Hat or Ubuntu) (experience)
- Proficiency with job scheduling and resource management tools (SLURM, PBS, LSF, etc.) (experience)
- Knowledge of storage architectures and distributed file systems (Lustre, GPFS, Ceph) (experience)
- Understanding of networking architecture and security best practices (experience)
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
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Senior High Performance Computing Engineer
Amgen
Senior High Performance Computing Engineer
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- 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
What we expect of you
- Master’s degree with a 4 - 6 years of experience in Computer Science, IT or related field with hands-on HPC administration
- OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field with hands-on HPC administration
- OR Diploma with 10-12 years of experience in Computer Science, IT or related field with hands-on HPC administration
- 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
Must-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)
- Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC)
- AWS Certified Solutions Architect – Associate or Professional
- 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Compensation
10-12
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Experience supporting research in healthcare life sciencesintermediate
- Experience with Kubernetes (EKS) and service mesh architecturesintermediate
- Knowledge of AWS Lambda and event-driven architecturesintermediate
- Exposure to multi-cloud environments (Azure, GCP)intermediate
- Familiarity with machine learning frameworks (TensorFlow, PyTorch) and data pipelinesintermediate
- Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.)intermediate
- Experience in an Agile development environmentintermediate
- Prior work with distributed computing and big data technologies (Hadoop, Spark)intermediate
- Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC)intermediate
- AWS Certified Solutions Architect – Associate or Professionalintermediate
- Strong analytical and problem-solving skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- Effective communication and collaboration with cross-functional teamsintermediate
- Ability to work in a fast-paced, cloud-first environmentintermediate
Required Qualifications
- Master’s degree with a 4 - 6 years of experience in Computer Science, IT or related field with hands-on HPC administration (experience)
- OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field with hands-on HPC administration (experience)
- OR Diploma with 10-12 years of experience in Computer Science, IT or related field with hands-on HPC administration (experience)
- Demonstrable experience in cloud computing (preferably AWS) and cloud architecture (experience)
- Experience with containerization technologies (Singularity, Docker) and cloud-based HPC solutions (experience)
- Experience with infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, Packer, Ansible and Git (experience)
- Expert with scripting (Python or Bash) and Linux/Unix system administration (preferably Red Hat or Ubuntu) (experience)
- Proficiency with job scheduling and resource management tools (SLURM, PBS, LSF, etc.) (experience)
- Knowledge of storage architectures and distributed file systems (Lustre, GPFS, Ceph) (experience)
- Understanding of networking architecture and security best practices (experience)
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
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories