Junior Platform Specialist
Requirements at a glance
Junior Platform Specialist at Squarepoint Capital is a role based in Montreal, London, Singapore, Warsaw, Houston. The posting mentions 4+ years of experience. It does not mention visa sponsorship. Key skills include Python, Kubernetes, Docker, and Terraform. Applications are submitted through Greenhouse.
- Experience
- 4+ years (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Greenhouse
Skills in this posting
- Python
- Kubernetes
- Docker
- Terraform
- Linux
- Git
- PostgreSQL
- Elasticsearch
Extracted automatically from the job description. Confirm details in the full posting below.
Position Overview:
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 platform 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.