Senior DevOps Engineer, Machine Learning

About us

We are a global algo trading company fully dedicated to technology. Our brilliant team comprises 100+ individuals scattered across the globe. Seventy percent of our team members are technical specialists, encompassing development, infrastructure, testing, and analytics, while the rest comprise business units, including operations, legal, finance, etc.

Responsibilities:

• Design and implement the infrastructure for deploying and managing machine learning models in a high-frequency trading environment.
• Automate the provisioning and management of cloud resources (e.g., virtual machines, containers, serverless functions) for ML workloads.
• Integrate and configure tools like MLflow, Kubernetes, and High-Performance Computing (HPC) clusters to support the end-to-end ML lifecycle.
• Develop and maintain CI/CD pipelines for seamless model deployment and updating.
• Implement monitoring, logging, and alerting systems to ensure the reliability and performance of the ML infrastructure.
• Collaborate with MLOps engineers and quant researchers to optimize the overall ML architecture and address infrastructure-related challenges.
• Continuously research and evaluate new technologies, tools, and best practices in the ML infrastructure domain.
• Document the ML infrastructure design, deployment processes, and operational procedures.
• Provide technical support and troubleshooting for the ML infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, IT, or a related field.
• Extensive experience in building and managing cloud-based infrastructure, with expertise in AWS
• Proficient in containerization technologies (e.g., Docker, Kubernetes) and container orchestration.
• Strong understanding of ML frameworks and tools like MLflow, TensorFlow, and Pytorch.
• Experience in High-Performance Computing (HPC) and optimizing ML workloads for performance.
• Solid knowledge of infrastructure-as-code (IaC) tools like Terraform, Ansible, or CloudFormation.
• Familiarity with DevOps practices, CI/CD, and infrastructure monitoring and logging.
• Excellent problem-solving and troubleshooting skills to address complex infrastructure-related issues.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• English proficiency at the B2 level or higher.

Nice to have:

• Experience in high-frequency trading or financial services is preferred but not mandatory.

What we offer:

• Working in a modern international technology company without bureaucracy, legacy systems, or technical debt;
• Excellent opportunities for professional growth and self-realization;
• Remote work from anywhere in the world with flexible schedule;
• Compensation for health insurance, sports activities, and non-professional training.