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# Platform Engineer

- **Company:** After School Matters, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Clusters, Configuration Management, Computer Networks, Linux, Distributed Systems, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Ansible, Prometheus, Scripting, System Availability, Grafana, HybridCloud, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Docker, Elk Stack, Jenkins
- **Published:** August 20, 2026
- **Apply:** https://artificialy.applytojob.com/apply/ADJzvN47VN/Platform-Engineer?source=GS

## About the Role

* 3+ years of experience as a DevOps Engineer.
 * EU or Swiss nationality/C permit., * Strong Linux systems knowledge and scripting abilities (e.g., Bash, Python).
 * Solid experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
 * Familiarity with Infrastructure-as-Code (e.g., Terraform, Ansible, Helm).
 * Minimum 2 years work experience in building CI/CD pipelines with tools like GitLab CI, GitHub Actions, Jenkins, or similar.
 * Understanding of networking concepts, security best practices, and system monitoring (e.g., Prometheus, Grafana).
 * Ability to work autonomously and collaboratively with cross-functional teams (MLOps, AI engineers, software developers).

Desirable Skills

 * Experience with hybrid cloud/on-premises environments.
 * Familiarity with cloud platforms such as AWS, Azure, or GCP.
 * Experience managing GPU clusters and distributed computing environments.
 * Proficiency with log management and incident analysis (e.g., ELK stack, Loki).
 * Exposure to AI/ML toolchains and workflows (e.g., MLflow, Weights & Biases, Triton).
 * Fluency in Python for tooling and automation.

## Description

* Design, implement, and maintain robust infrastructure to support scalable AI/ML workloads in production.
 * Ensure high availability, reliability, and security of Artificialy's services across cloud and on-prem environments.
 * Develop and manage CI/CD pipelines for rapid and safe deployment of software and machine learning models.
 * Monitor system health, performance, and resource usage; implement alerting and incident response strategies.
 * Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or equivalent.
 * Collaborate with the Artificialy teams to streamline development workflows and reduce time-to-production.


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