Platform Applications Specialist

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Platform Applications Specialists at Squarepoint 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.

If you’re looking for a challenging, fast-paced role where you can grow and learn from your peers, we encourage you to apply.

Required Qualifications: 

• 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.