What are the responsibilities and job description for the DevOps Engineer - AI | Experienced Hire position at Susquehanna International Group, LLP?
Overview
We are seeking a highly skilled and passionate DevOps Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of the software development and IT operational processes. You will be responsible for automating and optimizing our operations and processes, building and maintaining tools for deployment, monitoring and operations, as well as troubleshooting and resolving issues across our environments.
In this role you will:
- Design, implement and manage our CI/CD pipelines on different platforms and environments.
- Automate processes to gain efficiency and quality.
- Administer and monitor different environments and systems health.
- Manage and configure cloud infrastructure services.
- Help create automations on version control systems and backup operations.
- Help troubleshoot issues during testing and provide production launch support.
What you can expect from us:
Real Impact: You’ll be designing and optimizing systems that process massive amounts of data, ensuring high performance and stability. You’ll see how your contributions towards developing and supporting leading-edge hardware and software solutions make a firm-wide impact that makes us all smarter, faster, and better.
Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions.
Growth: For many of our roles, we don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.
Benefits: Susquehanna offers a wide array of competitive employee perks & benefits.
What we’re looking for
- Experience with GIT based code repositories.
- 2 years of professional AI work experience required
- Experience in cloud services like Azure, AWS. GCP.
- Knowledge of containerization and orchestration (Docker, Kubernetes)
- Proficiency in scripting languages (e.g., Shell, Python).
- Experience with monitoring systems (e.g., Nagios, Prometheus, ELK stack).
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