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.

Type:

Remote

Full-time

Job ID:

JR-84962

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Technologies:
AWS
Terraform
Python
GitLab
CI\CD
Jenkins
Locations:
LATAM

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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