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Squarepoint Capital

Platform Specialist - Scheduler and Orchestrators

Reposted 3 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
Ensure excellence in compute-intensive infrastructure while delivering automated platform solutions and services using DevOps methodologies.
The summary above was generated by AI

Department:   Application Engineering

Position Overview:

As a Platform Applications Specialist at Squarepoint, you will play a crucial technical role in delivering mission-critical platform infrastructure using the DevOps methodology.

In this position, you will have the opportunity to work with internal and external stakeholders to build and maintain automated platform solutions and services used across the firm. You will also be responsible for designing, monitoring, and scaling Platform  infrastructure, and automating everyday tasks with scripting and configuration management tools. Your experience will be valuable to the more junior team members.

As a member of the Schedulers stream, you will be responsible for ensuring the excellence of the most compute-intensive pieces of infrastructure in the company. You will have the opportunity to shape both the architecture and user experience to offer the most out of our platform.

Required Qualifications:

  • Degree in Engineering, Computer Science or similar discipline.
  • 4+ years of experience in DevOps, SRE, or platform engineering roles.
  • Experience with software development (Python, Git)
  • Experience with system administration (Bash, Linux, Containerization)
  • Deep knowledge of HPC (e.g. Slurm) or orchestration technologies (e.g. Kubernetes)
  • Excellent written and verbal communication skills.
  • Ability to work well in a fast-paced environment.

Nice to have:

  • Experience with other orchestration technologies (Prefect, Airflow)
  • Experience with advanced software engineering concepts.
  • Experience with modern software development tooling, such as Gitlab, Artifactory or Docker.
  • Experience with infrastructure automation and configuration management, such as Ansible and Terraform.
  • Experience with Observability systems, such as Elasticsearch, Prometheus.

Top Skills

Airflow
Ansible
Artifactory
Bash
Docker
Elasticsearch
Git
Gitlab
Kubernetes
Linux
Prefect
Prometheus
Python
Slurm
Terraform

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