DevOps / MLOps Engineer
Blackthorn.ai is looking for a DevOps / MLOps Engineer to join our engineering team and help us build, maintain, and improve reliable cloud infrastructure for AI/ML and software projects.
You will work closely with developers, ML engineers, and other technical team members to automate deployments, manage cloud infrastructure, improve system reliability, and ensure secure and observable production environments.
What you’ll do:
Design, maintain, and optimize cloud infrastructure
Build and manage infrastructure using Terraform and reusable Infrastructure-as-Code modules
Develop, maintain, and improve CI/CD pipelines and deployment automation
Work with Kubernetes and Docker to deploy and manage containerized applications
Support infrastructure for ML/MLOps workloads and microservices
Manage and improve IAM, access control, and security practices
Set up and maintain monitoring, logging, and observability solutions
Troubleshoot infrastructure and deployment issues and help ensure high availability and reliability
Collaborate with development and ML teams on infrastructure and deployment requirements
Automate routine infrastructure and operational tasks using Python and Bash
Contribute to cloud architecture and infrastructure improvements across projects
Requirements:
2+ years of commercial experience in DevOps, Cloud Engineering, MLOps, or a related role
Strong hands-on experience with Microsoft Azure
Solid experience with Kubernetes and Docker
Strong practical experience with Terraform / Infrastructure as Code
Hands-on experience with GitLab CI/CD
Experience with Argo CD and GitOps-based deployment workflows
Experience with Prometheus, Loki, and Grafana for monitoring, logging, and observability
Good understanding of cloud networking, Linux administration, and infrastructure management
Experience with IAM, access control, and cloud security
Experience supporting and troubleshooting production environments
Ability to automate routine infrastructure and operational tasks using Bash and/or Python
Understanding of CI/CD best practices and deployment automation
Experience working with microservices and containerized applications
Good English communication skills
Ability to work independently, troubleshoot complex infrastructure issues, and take ownership of DevOps tasks
Nice to have:
Experience with Google Cloud Platform (GCP)
Experience with AWS
Experience with MLOps / ML infrastructure
Experience with Falco or other runtime security tools
Google Cloud or Microsoft Azure certifications
Experience designing scalable and highly available cloud architectures
What we offer:
Work on AI/ML and software engineering projects
Remote-friendly environment
International team and English-speaking environment
Opportunity to work with modern cloud and infrastructure technologies
High level of ownership and autonomy
Professional growth and opportunities to expand your expertise in DevOps, Cloud, and MLOps