DevOps Engineer Senior
We are looking for an experienced DevOps/Site Reliability Engineer to join our Machine Learning Enablement (MLE) team, which focuses on ML Ops to support machine learning pipelines used by data science teams.

Job Description
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.
Apply now
DevOps Engineer Senior
