Remote DevOps/MLOps Engineer

We are looking for a DevOps/MLOps Engineer to design, build, and maintain scalable infrastructure and automation pipelines. This role blends traditional DevOps practices with machine learning operations, requiring expertise in containerization, cloud platforms, CI/CD workflows, and infrastructure-as-code. You'll work across diverse projects—from deploying general backend services to operationalizing ML models—and collaborate with engineering and data teams to ensure reliable, efficient systems. This is a 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. Requirements: 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. The secret ingredients that make us special: Your growth is our growth. We invest in your future with paid training and other professional opportunities. We're industry innovators at the forefront of change. Equipped with the latest technologies and a team of knowledgeable colleagues by your side, you'll embrace new and interesting challenges. Your location. Your schedule. Pick your time zone, choose your preferred hours, and work from the place where you feel most at home. Flexibility and freedom are in our DNA! As long as you have a stable internet connection and the drive to thrive, you can travel and work from anywhere you like. A workload you can rely on. We'll set you enough tasks to keep that mind busy! At Scopic, we'll ensure you always have a consistent flow of engaging, challenging work to do. Recognition and reward. We acknowledge diligence and hard work through annual pay increases for good performance. Down to business! Rate Range: Your starting rate is negotiable depending on your skills and experience. Contractors are paid monthly via wire transfer. Our values: 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. Have the skills, the drive, and the passion to join the Scopic family? Apply today to join our growing team of remote professionals from around the world. TERMS OF APPLICATION By submitting an application; I consent that the data provided in this form, and the attached CV, will be used for Scopic's recruiting purposes and email communications. I consent to Scopic conducting an identity verification process as part of the hiring process. I understand that my personal information may be collected and processed for the purpose of verifying my identity in compliance with applicable laws. Attention Job Seekers: Please be aware that scammers may be fraudulently using our company's name in hiring scams. To ensure your safety, all legitimate communication regarding job opportunities from our company will only come from email addresses ending with @scopicsoftware.com. Please exercise caution and report any suspicious activity to our official channels.