Aws high performance computing
1 month ago
At a time when the services industry is struggling with its ability to deliver value at a pace that Trianz demand, Trianz “IP Led Services” business model and value proposition are changing the game for companies as well as cloud providers such as AWS, Azure and GCP. Rated #1 by clients in value delivery 5 years in a row, Trianz will surpass industry growth rates by a wide margin in the coming years with its “IP Led Digital Transformations” model. Trianz is led by Sri Manchala a former special forces officer from the Indian army and author n digital leadership ((Crossing the Digital Faultline | Trianz) and a team of veterans from well known firms such as Deloitte, HCL, KPMG, Wipro and conglomerates such as GE. Given its above industry growth and demands, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com) ). Trianz is seeking to bolster its senior and mid-level leadership with top talent across GTM, Engineering, Services and Partnership organizations. We are seeking talent that is driven by our purpose- to help accelerate digital transformations- and is motivated to change the way our industry delivers value. Why Join Us: • Be part of a rapidly rising, global technology innovator whose platforms and services are engaged by Fortune 1000 companies and industry leaders such as Microsoft & Amazon. • Immerse yourself in a culture where creativity is celebrated and encouraged. • Engage in thrilling projects and opportunities for your professional growth. • Contribute to our quest to redefine the industry. • Competitive compensation and benefits with occasional ‘distinctive benefits’ that set us apart.
AWS High Performance Computing (HPC) Subject Matter Expert Position Overview We are seeking an experienced Subject Matter Expert in AWS High Performance Computing to architect, implement, and optimize HPC solutions on AWS. This role will provide technical leadership in designing and managing large-scale computational workloads, parallel computing environments, and HPC clusters in the AWS cloud.
Key Responsibilities: Design and implement scalable HPC architectures on AWS for complex computational workloads Provide technical leadership in HPC solution architecture, including cluster management, job scheduling, and workflow optimization Guide teams in implementing best practices for AWS HPC services including Parallel Cluster, Batch, FSx for Lustre, and EFA Optimize cost and performance of HPC workloads on AWS Develop automation solutions for HPC infrastructure deployment and management Lead technical discussions with stakeholders to understand computational requirements and propose solutions Required Qualifications Bachelor's degree in Computer Science, Engineering, or related technical field 7+ years of experience in HPC systems administration or architecture 5+ years of hands-on experience with AWS services AWS Professional level certification (Solutions Architect or Dev Ops Engineer) Strong experience with Linux/Unix systems administration Expertise in HPC schedulers (Slurm, AWS Batch, Grid Engine) Proficiency in scripting languages (Python, Bash, etc.)
Preferred Qualificationsdegree in related field Experience with container technologies (Docker, Singularity) Knowledge of ML/AI frameworks and their HPC requirements Expertise in parallel programming (MPI, Open MP) Experience with CFD, FEA, or other scientific computing applications Background in research computing or scientific domains Technical Skills AWS Services Expertise AWS Parallel Cluster AWS Batch Amazon FSx for Lustre Elastic Fabric Adapter (EFA) EC2 Instance Types (especially HPC-optimized) S3 and storage solutions Cloud Formation/CDK AWS Identity and Access Management (IAM) HPC & Computing Skills Cluster management and orchestration Job scheduling and workload management Parallel file systems Performance optimization Network optimization Queue management Resource monitoring and metrics Infrastructure as Code (Ia C) HPC architecture documentation Performance optimization reports Best practices guides Technical training materials Implementation playbooks Cost optimization strategies
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