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    Job · 17747378

    Cognizant logo

    Cognizant Hiring For HPC , Github Pipelines, AWS

    Cognizant · Hyderabad · hybrid · Posted 37d ago

    Undisclosed5–9 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Cognizant is hiring HPC , Github Pipelines, AWS


    Primary & Mandatory Skill: HPC administration & AWS DevOps

    Yrs of exp : 5 years to 8 Years

    Location : Chennai, Kolkata, Bangalore, Coimbatore, Pune, Hyderabad

    Shift timing: 1pm IST to 11pm IST


    If you are interested, kindly share the below details along with your updated resume to [email removed]


    Please share below details (Mandatory) :

    Full Name

    Contact number:

    Alternative contact number:

    Current Location:

    Interested Locations:

    Total Years of experience:

    Relevant years of experience: - HPC , Github Pipelines, AWS

    Current company:

    Currently working in Permanent or Contract position:

    If Contract means mention Pay roll name:

    Do you have form 16 for your experience?(Yes or No)

    Mention the years as well:

    Do you have PF statement for your experience? (Yes or No):

    Primary Skill:

    Secondary Skill:

    Notice period:

    NP negotiable: if yes how many days they can negotiate? :

    If you are Serving any Notice period Means, please mention Last date of Working:

    Holding Offer-

    Current CTC-

    Expected CTC-

    Education -


    Detailed JD:

    Scope of Work:

    HPC Cluster Deployment:

    • Automate the deployment process of HPC clusters using CI/CD pipelines by utilizing GitHub pipeline and AWS Systems Manager.
    • Implement CI/CD pipelines to manage and deploy updates to the HPC cluster efficiently.
    • Set up and configure HPC clusters to meet specific requirements and workloads.
    • Manage and maintain HPC hardware components such as CPUs and GPUs, along with the necessary software.
    • Conduct regression testing to verify the functionality and performance of non-GXP HPC clusters.

    Workload Scheduler Management:

    • Install and configure workload managers and schedulers like LSF, SLURM, and PBS Pro.
    • Manage the addition and removal of compute nodes and adjust the priority of master and slave nodes.
    • Develop and manage resource policies and rules to optimize cluster performance.
    • Configure and allocate resources such as CPU and memory, and profile applications for optimal performance.
    • Address and resolve issues related to schedulers, daemons, and license servers.

    Network and High-Performance Connectivity Management:

    • Install and configure HPC interconnect networks.
    • Design and configure the network topology for HPC clusters.
    • Ensure the maintenance and monitoring of InfiniBand connectivity.
    • Resolve connectivity issues related to InfiniBand, RoCE, and Ethernet.

    Monitoring and Reports:

    • Produce daily health check reports for the HPC cluster.
    • Automate monitoring scripts to streamline the monitoring process.
    • Conduct periodic reviews of reports and audit trails.

    OS Administration and Management:

    • Install and configure operating systems for HPC clusters.
    • Address OS-related issues such as CPU, memory, and SWAP utilization, and perform application file system cleanup.
    • Ensure application service continuity by performing pre and post checks from both OS and application perspectives during planned and unplanned outages.

    Applications and Tools:

    • Install HPC libraries and tools such as MPI and compilers.
    • Install and configure HPC applications, both commercial off-the-shelf (COTS) and open source, and manage packages using Spack.
    • Apply patches and upgrades to HPC applications.
    • Resolve issues related to HPC applications.

    HPC Storage Management:

    • Administer and configure HPC storage systems.
    • Oversee the administration of HPC file systems.
    • Monitor and troubleshoot HPC storage systems.
    • Manage backup and tape library systems.

    Below is the key responsibility, essential skills of the resources we will deploy.

    Key Responsibilities

    • Cluster Management: Install, configure, and maintain compute nodes, GPUs (NVIDIA), high-speed storage (Lustre, GPFS),

    and interconnects (InfiniBand, RoCE).

    • Performance Tuning: Optimize scientific applications, kernels, and workflows for maximum throughput, scalability, and minimal queue times.
    • User Support: Act as a technical expert for researchers, debugging jobs, resolving complex issues, and providing training on tools and best practices.
    • Software Management: Manage workload managers (Slurm, LSF), schedulers, software licensing (FlexLM), OpenPBS,

    containers (Singularity), and compilers.

    • Infrastructure: Administer high-speed interconnects (InfiniBand), storage (Lustre, CEPH), and potentially cloud/hybrid solutions.
    • Implement and manage monitoring (Grafana, Prometheus) and orchestration tools (Slurm, Kubernetes).
    • Automation: Develop scripts (Python, Ansible) for provisioning, monitoring, and automating routine tasks.
    • Security & Policy: Implement and enforce security policies, manage user access, and oversee lifecycle management.

    Essential Skills & Qualifications

    • Technical Expertise: Strong Linux, Python, scripting (Ansible, Terraform), HPC schedulers (Slurm), networking (InfiniBand), and GPU computing.

    Team will have knowledge of Gilead systems and AWS CICD pipelines.

    • HPC Domain Knowledge: Experience with parallel file systems, workload management, and performance analysis tools.
    • Problem Solving: Excellent analytical and debugging skills for complex distributed systems.
    • Communication: Ability to explain complex technical issues to scientists and non-technical stakeholders.
    • Experience: Hands-on experience in data centers, managing large clusters, and supporting diverse scientific/AI workloads




    Sourced from naukri

    Skills

    GithubHpchigh performance computing

    About Cognizant

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    Cognizant

    IT Services & Consulting

    241.5k+

    employees

    1994

    32 years old

    Teaneck. New Jersey.

    United States (USA)

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