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Senior Cloud Engineer - HPC

Senior Cloud Engineer - HPC

Allnessjobs

5 years

0 Lacs

Hyderabad Telangana India

Posted:3 days ago| Platform:

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Skills Required

aws research support data processing management design proteomics automate deployment terraform simulations ai ml storage strategies backup archiving retrieval integrity collaboration resolve optimization efficiency technology engineering vpc code security automation devops troubleshooting communication discovery

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title :

Senior Cloud Engineer

Location :

Hyderabad

Experience :

5+ Years

Work Mode :

Hybrid

About The Role

We are looking for a highly skilled and motivated Senior AWS Engineer to join our team.In this role, you will be responsible for designing, deploying, and managing cloud infrastructure using Amazon Web Services (AWS).You will collaborate closely with research teams to support advanced data processing, high-performance computing (HPC), and secure data management within a pharmaceutical research setting.

Key Responsibilities

AWS Infrastructure Management :

Design, deploy, and manage AWS cloud infrastructure.
Implement and support scalable computing environments for data-intensive applications such as genomics, proteomics, and molecular modeling.
Automate infrastructure deployment and management using tools like AWS CloudFormation, Terraform, or AWS CDK.

High-Performance Computing (HPC)

Set up and manage HPC clusters on AWS to support high-performance, compute-intensive workloads.
Optimize computational resources for large-scale simulations, AI/ML workflows, and other research-related tasks.

Data Management And Storage

Design and manage storage solutions for large datasets using AWS services such as S3, EBS, and Glacier.
Implement robust data lifecycle management strategies including backup, archiving, and retrieval to ensure data integrity and regulatory compliance.

Collaboration And Technical Support

Collaborate with cross-functional teams, including data scientists, bioinformaticians, and IT staff to understand AWS requirements and provide technical solutions.
Troubleshoot and resolve AWS infrastructure-related issues to ensure minimal disruption to research operations.

Optimization And Continuous Improvement

Continuously monitor, assess, and optimize AWS infrastructure for cost efficiency, performance, and scalability.
Stay updated on the latest AWS technologies and integrate relevant advancements into the :

Education

Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

Experience

5+ years of hands-on experience working with core AWS services including EC2, S3, RDS, Lambda, VPC, and IAM.
Proven experience with HPC environments and large-scale cloud-based data processing.
Proficiency in infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK.

Skills

In-depth understanding of AWS best practices including security, cost optimization, and performance tuning.
Experience with CI/CD pipelines, automation, and DevOps methodologies within AWS.
Excellent troubleshooting and problem-solving skills.
Strong communication skills with the ability to engage both technical and non-technical stakeholders.

Preferred Qualifications

AWS Certified Solutions Architect Associate or Professional.
Experience working with AI/ML tools on AWS (e.g., SageMaker).
Prior experience supporting pharmaceutical or life sciences clients, especially in drug discovery or research environments.

(ref:hirist.tech)

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Senior Cloud Engineer - HPC