Remote DevOps Engineer

DevOps Engineer

This is a remote position. We are looking for a part-time DevOps Engineer to design, build, and maintain scalable infrastructure and automation pipelines. This role focuses on core DevOps practices—containerization, cloud platforms, CI/CD workflows, and infrastructure-as-code. You'll collaborate with software engineers and data teams to ensure reliable, efficient systems across diverse projects. Experience with machine learning operations is a bonus but not required. This is a Part-Time position.

Responsibilities:

• Design and implement CI/CD pipelines for applications and services.
• 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.
• Establish and improve monitoring, logging, and alerting systems for infrastructure and application health.
• Automate deployment, scaling, and operational tasks to reduce manual overhead and improve reliability.
• Collaborate with software engineers 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.
• Support ML model and pipeline deployment when needed (a secondary responsibility).

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).
• Strong problem-solving skills and ability to work independently on infrastructure challenges.

Nice to Have:

• 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.

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.

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.