Platform Engineer

After School Matters, Inc.

United States

3 days ago

Apply on artificialy.applytojob.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

artificialy.applytojob.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell Cloud Computing Computer Clusters Configuration Management Computer Networks Linux Distributed Systems Github Monitoring of Systems

+17 more

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

Job 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.

Requirements

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.

Benefits & conditions

Full-time permanent contract with competitive compensation and opportunities for technical leadership growth.
Access to cutting-edge hardware and modern DevOps stacks is also provided, along with mentorship and continuous learning in high-impact, production-grade AI systems.
This is a Hybrid (work from home & office) position.