Remote DevOps/MLOps Engineer

Job Description

We are looking for a DevOps/MLOps Engineer to design, build, and maintain scalable infrastructure and automation pipelines for a remote, part‑time position.

Responsibilities

• Design and implement CI/CD pipelines for both general applications and machine learning workflows.
• Build and maintain scalable infrastructure using containerization (Docker, Kubernetes) and infrastructure‑as‑code tools.
• Manage and optimize cloud‑based environments across AWS, GCP, or Azure.
• Deploy, monitor, and maintain machine learning models and pipelines in production environments.
• Establish and improve monitoring, logging, and alerting systems for application and ML infrastructure health.
• Automate deployment, scaling, and operational tasks to reduce manual overhead and improve reliability.
• Collaborate with software engineers and data scientists to understand deployment requirements and optimize system architecture.
• Ensure security, performance, and reliability across infrastructure and application layers.
• Troubleshoot and resolve infrastructure, deployment, and operational issues.
• Maintain documentation and best practices for infrastructure and deployment processes.

Qualifications

• 3+ years of hands‑on DevOps or infrastructure engineering experience.
• Strong proficiency with containerization and orchestration (Docker, Kubernetes).
• Experience with infrastructure‑as‑code tools such as Terraform, CloudFormation, or Ansible.
• Solid understanding of CI/CD concepts and hands‑on experience with tools like Jenkins, GitLab CI/CD, GitHub Actions, or similar.
• Strong programming skills in Python, Bash, or Go for automation and scripting.
• Hands‑on experience with at least one major cloud platform (AWS, GCP, or Azure).
• Familiarity with monitoring and logging tools (Prometheus, ELK stack, CloudWatch, or similar).
• Experience with ML operationalization and deployment platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI is a plus.
• Understanding of ML frameworks and workflows (TensorFlow, PyTorch, scikit‑learn) is a plus.
• Strong problem‑solving skills and ability to work independently on infrastructure challenges.

Benefits and Compensation

• Flexible work schedule and remote work from anywhere with a stable internet connection.
• Paid training and professional development opportunities.
• Consistent workload with a variety of engaging and challenging tasks.
• Recognition and reward via annual pay increases for good performance.
• Contractors are paid monthly via wire transfer; starting rate negotiable based on skills and experience.

Equal‑Opportunity Employer

Scopic is an equal‑opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, marital status, national origin, gender, veteran status, sexual orientation, age, or disability status.