Cloud Infrastructure Engineer

7 days ago


Singapore Squarepoint Capital Full time

About Squarepoint Capital

We are a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets to achieve high quality, uncorrelated returns for our clients.

Our team emphasizes true, global collaboration by aligning our investment, technology, and operations teams functionally around the world.

Job Summary

We are seeking a skilled Platform Applications Specialist to play an important 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 on building and maintaining automated platform solutions and services used across the firm.

You will also be responsible for designing, monitoring, and scaling private and public cloud infrastructure, and automating everyday tasks with scripting and configuration management tools.

Key Responsibilities

  • Design, build, and maintain automated platform solutions and services
  • Develop and implement cloud infrastructure, including private and public cloud solutions
  • Automate everyday tasks using scripting and configuration management tools
  • Collaborate with internal and external stakeholders to deliver mission-critical platform infrastructure

Requirements

  • Degree in Engineering, Computer Science, or similar discipline
  • Up to 4 years of experience in DevOps, SRE, or platform engineering roles
  • Experience with Python, git, Bash, and Linux
  • Excellent written and verbal communication skills
  • Ability to work well in a fast-paced environment
  • Eagerness to continuously learn new technologies and develop with us

Nice to Have

  • 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 HPC and orchestration technologies, such as Slurm or Kubernetes
  • Experience with Databases and Observability systems, such as Elasticsearch, Datadog, Prometheus, PostgreSQL


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