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Senior Linux Engineer

at Point72

Back to all Cloud & DevOps jobs
Point72 logo
Hedge Funds

Senior Linux Engineer

at Point72

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Senior Linux Engineer to design, automate, and operate Point72’s large-scale quant compute and storage infrastructure supporting research and portfolio managers. You will manage and evolve multi-tenant clustered HPC platforms, troubleshoot complex storage/OS/network issues, and build tools to monitor and optimize cluster performance while emphasizing automation. The role requires hands-on experience with Linux systems, distributed filesystems, HPC schedulers and hybrid/cloud-native deployments (AWS) for high-performance workloads.

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Senior Linux Engineer Career
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Senior Linux Engineer

Apply Now
Experience

Experienced Professionals

Location

Bengaluru, India

Focus

Software & System Engineering

Business

Point72

A Career with Point72’s Technology Team

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.


What you’ll do

You will take over the management of our existing quant compute/storage infrastructure and be responsible for the design, automation, and management of future infrastructure solutions to support our portfolio managers as they leverage our large-scale research environment. Specifically, you will:

• Design and manage a variety of quant research platforms

• Research and experiment with new centralized multi-tenant clustered platforms

• Troubleshoot complex storage, OS, and networking issues

• Build tools to improve the performance and monitoring of HPC clusters

• Riveted focus on efficiency through automation of provisioning and housekeeping


What’s required

• 5+ years engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure experience at a financial services firm

• 3+ years of experience in highly parallelized environments with storage deployments greater than 1PB

• Knowledge of distributed file systems (Lustre, GPFS) used in large multi-tenant clustered compute environments

• Experience with wide variety of filesystems such as ZFS, XFS, ext4,

• Extensive experience with Linux (RHEL / CentOS / Ubuntu) configuration, troubleshooting and performance tuning

• Modern x86/AMD-based computing platforms, expert knowledge of use cases for scaling for transaction speed versus distributed parallel processing

• 10GE/25GE client network cards, drivers, firmware and kernel bypass capabilities

• Knowledge of Linux software RAID

• Good understanding of hardware RAID, erasure encoding, etc

• Experience in automation (Terraform, Ansible, Puppet, Chef)

• Python / Shell scripting

• Protocol knowledge of NFS, CIFS, SMB

• Understanding of complex ACLs and nuances between protocols

• Choosing the right filesystem for the right use case

• Deploying and leading hybrid and/or cloud-native high performance compute environments in AWS

• Experience with AWS storage including s3, storage gateway, EBS

• Knowledge of HPC (AI/ML) offerings in public cloud providers (AWS/GCP preferred)

• Experience with HPC job scheduling platforms such as Airflow, Condor, Slurm, SGE, etc

• Experience NFS v4.1

• Various HPE/Dell/Supermicro

• Experience with InfiniBand, NFS over RDMA, RoCE

• Commitment to the highest ethical standards



About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.



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A Career with Point72’s Technology Team

\n

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.


What you’ll do

\n

You will take over the management of our existing quant compute/storage infrastructure and be responsible for the design, automation, and management of future infrastructure solutions to support our portfolio managers as they leverage our large-scale research environment. Specifically, you will:

• Design and manage a variety of quant research platforms

• Research and experiment with new centralized multi-tenant clustered platforms

• Troubleshoot complex storage, OS, and networking issues

• Build tools to improve the performance and monitoring of HPC clusters

• Riveted focus on efficiency through automation of provisioning and housekeeping


What’s required

\n

• 5+ years engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure experience at a financial services firm

• 3+ years of experience in highly parallelized environments with storage deployments greater than 1PB

• Knowledge of distributed file systems (Lustre, GPFS) used in large multi-tenant clustered compute environments

• Experience with wide variety of filesystems such as ZFS, XFS, ext4,

• Extensive experience with Linux (RHEL / CentOS / Ubuntu) configuration, troubleshooting and performance tuning

• Modern x86/AMD-based computing platforms, expert knowledge of use cases for scaling for transaction speed versus distributed parallel processing

• 10GE/25GE client network cards, drivers, firmware and kernel bypass capabilities

• Knowledge of Linux software RAID

• Good understanding of hardware RAID, erasure encoding, etc

• Experience in automation (Terraform, Ansible, Puppet, Chef)

• Python / Shell scripting

• Protocol knowledge of NFS, CIFS, SMB

• Understanding of complex ACLs and nuances between protocols

• Choosing the right filesystem for the right use case

• Deploying and leading hybrid and/or cloud-native high performance compute environments in AWS

• Experience with AWS storage including s3, storage gateway, EBS

• Knowledge of HPC (AI/ML) offerings in public cloud providers (AWS/GCP preferred)

• Experience with HPC job scheduling platforms such as Airflow, Condor, Slurm, SGE, etc

• Experience NFS v4.1

• Various HPE/Dell/Supermicro

• Experience with InfiniBand, NFS over RDMA, RoCE

• Commitment to the highest ethical standards


\n

About Point72

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.


\n
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Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EYou will take over the management of our existing quant compute/storage infrastructure and be responsible for the design, automation, and management of future infrastructure solutions to support our portfolio managers as they leverage our large-scale research environment. Specifically, you will:\u003C/p\u003E\u003Cp\u003E• Design and manage a variety of quant research platforms\u003C/p\u003E\u003Cp\u003E• Research and experiment with new centralized multi-tenant clustered platforms\u003C/p\u003E\u003Cp\u003E• Troubleshoot complex storage, OS, and networking issues\u003C/p\u003E\u003Cp\u003E• Build tools to improve the performance and monitoring of HPC clusters\u003C/p\u003E\u003Cp\u003E• Riveted focus on efficiency through automation of provisioning and housekeeping\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cp\u003E• 5+ years engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure experience at a financial services firm\u003C/p\u003E\u003Cp\u003E• 3+ years of experience in highly parallelized environments with storage deployments greater than 1PB\u003C/p\u003E\u003Cp\u003E• Knowledge of distributed file systems (Lustre, GPFS) used in large multi-tenant clustered compute environments\u003C/p\u003E\u003Cp\u003E• Experience with wide variety of filesystems such as ZFS, XFS, ext4,\u003C/p\u003E\u003Cp\u003E• Extensive experience with Linux (RHEL / CentOS / Ubuntu) configuration, troubleshooting and performance tuning\u003C/p\u003E\u003Cp\u003E• Modern x86/AMD-based computing platforms, expert knowledge of use cases for scaling for transaction speed versus distributed parallel processing\u003C/p\u003E\u003Cp\u003E• 10GE/25GE client network cards, drivers, firmware and kernel bypass capabilities\u003C/p\u003E\u003Cp\u003E• Knowledge of Linux software RAID\u003C/p\u003E\u003Cp\u003E• Good understanding of hardware RAID, erasure encoding, etc\u003C/p\u003E\u003Cp\u003E• Experience in automation (Terraform, Ansible, Puppet, Chef)\u003C/p\u003E\u003Cp\u003E• Python / Shell scripting\u003C/p\u003E\u003Cp\u003E• Protocol knowledge of NFS, CIFS, SMB\u003C/p\u003E\u003Cp\u003E• Understanding of complex ACLs and nuances between protocols\u003C/p\u003E\u003Cp\u003E• Choosing the right filesystem for the right use case\u003C/p\u003E\u003Cp\u003E• Deploying and leading hybrid and/or cloud-native high performance compute environments in AWS\u003C/p\u003E\u003Cp\u003E• Experience with AWS storage including s3, storage gateway, EBS\u003C/p\u003E\u003Cp\u003E• Knowledge of HPC (AI/ML) offerings in public cloud providers (AWS/GCP preferred)\u003C/p\u003E\u003Cp\u003E• Experience with HPC job scheduling platforms such as Airflow, Condor, Slurm, SGE, etc\u003C/p\u003E\u003Cp\u003E• Experience NFS v4.1\u003C/p\u003E\u003Cp\u003E• Various HPE/Dell/Supermicro\u003C/p\u003E\u003Cp\u003E• Experience with InfiniBand, NFS over RDMA, RoCE\u003C/p\u003E\u003Cp\u003E• Commitment to the highest ethical standards\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. 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Senior Linux Engineer

at Point72

Back to all Cloud & DevOps jobs
Point72 logo
Hedge Funds

Senior Linux Engineer

at Point72

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Senior Linux Engineer to design, automate, and operate Point72’s large-scale quant compute and storage infrastructure supporting research and portfolio managers. You will manage and evolve multi-tenant clustered HPC platforms, troubleshoot complex storage/OS/network issues, and build tools to monitor and optimize cluster performance while emphasizing automation. The role requires hands-on experience with Linux systems, distributed filesystems, HPC schedulers and hybrid/cloud-native deployments (AWS) for high-performance workloads.

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Senior Linux Engineer Career
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P72 Careers - Header
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What We Do
Learn about the strategies and asset classes that make up our global business.
Our Values
See how we support our people, communities, and the planet through our ESG efforts.
Leadership
Meet the team responsible for shaping our firm.
Locations
Find us in financial hubs across the globe as we pursue the world’s best talent.
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Senior Linux Engineer

Apply Now
Experience

Experienced Professionals

Location

Bengaluru, India

Focus

Software & System Engineering

Business

Point72

A Career with Point72’s Technology Team

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.


What you’ll do

You will take over the management of our existing quant compute/storage infrastructure and be responsible for the design, automation, and management of future infrastructure solutions to support our portfolio managers as they leverage our large-scale research environment. Specifically, you will:

• Design and manage a variety of quant research platforms

• Research and experiment with new centralized multi-tenant clustered platforms

• Troubleshoot complex storage, OS, and networking issues

• Build tools to improve the performance and monitoring of HPC clusters

• Riveted focus on efficiency through automation of provisioning and housekeeping


What’s required

• 5+ years engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure experience at a financial services firm

• 3+ years of experience in highly parallelized environments with storage deployments greater than 1PB

• Knowledge of distributed file systems (Lustre, GPFS) used in large multi-tenant clustered compute environments

• Experience with wide variety of filesystems such as ZFS, XFS, ext4,

• Extensive experience with Linux (RHEL / CentOS / Ubuntu) configuration, troubleshooting and performance tuning

• Modern x86/AMD-based computing platforms, expert knowledge of use cases for scaling for transaction speed versus distributed parallel processing

• 10GE/25GE client network cards, drivers, firmware and kernel bypass capabilities

• Knowledge of Linux software RAID

• Good understanding of hardware RAID, erasure encoding, etc

• Experience in automation (Terraform, Ansible, Puppet, Chef)

• Python / Shell scripting

• Protocol knowledge of NFS, CIFS, SMB

• Understanding of complex ACLs and nuances between protocols

• Choosing the right filesystem for the right use case

• Deploying and leading hybrid and/or cloud-native high performance compute environments in AWS

• Experience with AWS storage including s3, storage gateway, EBS

• Knowledge of HPC (AI/ML) offerings in public cloud providers (AWS/GCP preferred)

• Experience with HPC job scheduling platforms such as Airflow, Condor, Slurm, SGE, etc

• Experience NFS v4.1

• Various HPE/Dell/Supermicro

• Experience with InfiniBand, NFS over RDMA, RoCE

• Commitment to the highest ethical standards



About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.



Apply Now

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P72 Careers - Footer
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A Career with Point72’s Technology Team

\n

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.


What you’ll do

\n

You will take over the management of our existing quant compute/storage infrastructure and be responsible for the design, automation, and management of future infrastructure solutions to support our portfolio managers as they leverage our large-scale research environment. Specifically, you will:

• Design and manage a variety of quant research platforms

• Research and experiment with new centralized multi-tenant clustered platforms

• Troubleshoot complex storage, OS, and networking issues

• Build tools to improve the performance and monitoring of HPC clusters

• Riveted focus on efficiency through automation of provisioning and housekeeping


What’s required

\n

• 5+ years engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure experience at a financial services firm

• 3+ years of experience in highly parallelized environments with storage deployments greater than 1PB

• Knowledge of distributed file systems (Lustre, GPFS) used in large multi-tenant clustered compute environments

• Experience with wide variety of filesystems such as ZFS, XFS, ext4,

• Extensive experience with Linux (RHEL / CentOS / Ubuntu) configuration, troubleshooting and performance tuning

• Modern x86/AMD-based computing platforms, expert knowledge of use cases for scaling for transaction speed versus distributed parallel processing

• 10GE/25GE client network cards, drivers, firmware and kernel bypass capabilities

• Knowledge of Linux software RAID

• Good understanding of hardware RAID, erasure encoding, etc

• Experience in automation (Terraform, Ansible, Puppet, Chef)

• Python / Shell scripting

• Protocol knowledge of NFS, CIFS, SMB

• Understanding of complex ACLs and nuances between protocols

• Choosing the right filesystem for the right use case

• Deploying and leading hybrid and/or cloud-native high performance compute environments in AWS

• Experience with AWS storage including s3, storage gateway, EBS

• Knowledge of HPC (AI/ML) offerings in public cloud providers (AWS/GCP preferred)

• Experience with HPC job scheduling platforms such as Airflow, Condor, Slurm, SGE, etc

• Experience NFS v4.1

• Various HPE/Dell/Supermicro

• Experience with InfiniBand, NFS over RDMA, RoCE

• Commitment to the highest ethical standards


\n

About Point72

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.


\n
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Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EYou will take over the management of our existing quant compute/storage infrastructure and be responsible for the design, automation, and management of future infrastructure solutions to support our portfolio managers as they leverage our large-scale research environment. Specifically, you will:\u003C/p\u003E\u003Cp\u003E• Design and manage a variety of quant research platforms\u003C/p\u003E\u003Cp\u003E• Research and experiment with new centralized multi-tenant clustered platforms\u003C/p\u003E\u003Cp\u003E• Troubleshoot complex storage, OS, and networking issues\u003C/p\u003E\u003Cp\u003E• Build tools to improve the performance and monitoring of HPC clusters\u003C/p\u003E\u003Cp\u003E• Riveted focus on efficiency through automation of provisioning and housekeeping\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cp\u003E• 5+ years engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure experience at a financial services firm\u003C/p\u003E\u003Cp\u003E• 3+ years of experience in highly parallelized environments with storage deployments greater than 1PB\u003C/p\u003E\u003Cp\u003E• Knowledge of distributed file systems (Lustre, GPFS) used in large multi-tenant clustered compute environments\u003C/p\u003E\u003Cp\u003E• Experience with wide variety of filesystems such as ZFS, XFS, ext4,\u003C/p\u003E\u003Cp\u003E• Extensive experience with Linux (RHEL / CentOS / Ubuntu) configuration, troubleshooting and performance tuning\u003C/p\u003E\u003Cp\u003E• Modern x86/AMD-based computing platforms, expert knowledge of use cases for scaling for transaction speed versus distributed parallel processing\u003C/p\u003E\u003Cp\u003E• 10GE/25GE client network cards, drivers, firmware and kernel bypass capabilities\u003C/p\u003E\u003Cp\u003E• Knowledge of Linux software RAID\u003C/p\u003E\u003Cp\u003E• Good understanding of hardware RAID, erasure encoding, etc\u003C/p\u003E\u003Cp\u003E• Experience in automation (Terraform, Ansible, Puppet, Chef)\u003C/p\u003E\u003Cp\u003E• Python / Shell scripting\u003C/p\u003E\u003Cp\u003E• Protocol knowledge of NFS, CIFS, SMB\u003C/p\u003E\u003Cp\u003E• Understanding of complex ACLs and nuances between protocols\u003C/p\u003E\u003Cp\u003E• Choosing the right filesystem for the right use case\u003C/p\u003E\u003Cp\u003E• Deploying and leading hybrid and/or cloud-native high performance compute environments in AWS\u003C/p\u003E\u003Cp\u003E• Experience with AWS storage including s3, storage gateway, EBS\u003C/p\u003E\u003Cp\u003E• Knowledge of HPC (AI/ML) offerings in public cloud providers (AWS/GCP preferred)\u003C/p\u003E\u003Cp\u003E• Experience with HPC job scheduling platforms such as Airflow, Condor, Slurm, SGE, etc\u003C/p\u003E\u003Cp\u003E• Experience NFS v4.1\u003C/p\u003E\u003Cp\u003E• Various HPE/Dell/Supermicro\u003C/p\u003E\u003Cp\u003E• Experience with InfiniBand, NFS over RDMA, RoCE\u003C/p\u003E\u003Cp\u003E• Commitment to the highest ethical standards\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. 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