DevOps Engineer Senior ML — JR 84962 (вакансія неактивна)

Customertimes is a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1300+ experts and offices in 12 countries.

Requirements:

• Strong experience in SWE, SRE, or DevOps roles with a focus on ML Ops;

• Proven experience with microservice architecture and RESTful API development;

• Hands-on knowledge of Terraform and AWS infrastructure;

• Familiarity with CI/CD pipelines (e.g., GitLab, Jenkins) and Python packaging;

• Comfortable working with large-scale data pipelines and orchestration tools (e.g., Airflow);

• Strong problem-solving and debugging skills.

Nice to have:

• Experience with orchestration tools like Airflow;

• Familiarity with LLM model infrastructure;
• Knowledge of large-scale data processing systems (e.g., Spark).

Responsibilities:

• Develop and maintain scalable microservice architectures and RESTful APIs for ML Ops;

• Support production ML pipelines for deep learning models and LLMs;

• Investigate, debug, and resolve operational issues in data/ML services;

• Implement Infrastructure as Code using Terraform within AWS;

• Contribute to the packaging and CI/CD processes for Python-based polyrepos;
• Participate in the team on-call rotation (8 am — 6 pm ET, Mon—Fri).

What We Offer:

• Competitive monthly compensation in USD, based on experience and skills.

• Benefits will be communicated during the application process, in accordance with your location.