HPC Cloud Engineer - FinTech (Terraform + Kubernetes)

Hamilton Barnes Associates Limited

New York (NY)

On-site

USD 150,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Discretionary bonus
Competitive compensation

Job summary

Hamilton Barnes Associates Limited is seeking an experienced engineer to design and scale cloud platforms powering compute-heavy workloads. You will build scalable infrastructure, manage Kubernetes clusters, and drive automation to accelerate deployments across HPC environments.

The role emphasizes Terraform-based IaC, Linux systems, and collaboration with engineering teams to optimize performance and efficiency.

Qualifications

  • 5+ years of cloud/platform/infrastructure engineering experience.
  • Strong experience with Terraform, Kubernetes and Linux.
  • Automation experience using Python, Bash or Go.
  • Experience supporting HPC or distributed systems.
  • Knowledge of cloud networking, storage and IaC.

Responsibilities

  • Design and build scalable cloud infrastructure using Terraform and IaC.
  • Manage and optimize Kubernetes clusters and Linux platforms.
  • Automate deployments, CI/CD pipelines and infrastructure workflows.
  • Improve cloud networking, storage and observability for high-performance workloads.
  • Lead cloud migration projects and collaborate with engineering teams to optimize compute environments.

Skills

Cloud infrastructure
Kubernetes
Linux
Automation (Python/Bash/Go)
HPC / Distributed systems
Infrastructure as Code (Terraform)
Cloud networking & storage

Tools

Terraform
Kubernetes
Linux
Python
Bash
Go
Slurm
HTCondor
Ray

Job description

Hamilton Barnes Associates Limited is seeking an experienced engineer to design and scale cloud platforms powering compute-heavy workloads. You will build scalable infrastructure, manage Kubernetes clusters, and drive automation to accelerate deployments across HPC environments.

The role emphasizes Terraform-based IaC, Linux systems, and collaboration with engineering teams to optimize performance and efficiency.

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