DevOps/MLOps Engineer
Ashburn, Virginia, United States (Hybrid)
R
USD 107K-160K (estimate) Mid-level Full Time
Tasks
- Automate code and model release workflows
- Automate infrastructure provisioning with IaC
- Deploy applications and models using containers and Kubernetes
- Design CI CD pipelines for applications and AI ML models
- Document pipelines infrastructure and operational procedures
- Implement security best practices for DevOps lifecycle
- Manage cloud environments for reliability and cost efficiency
- Monitor systems with logs metrics and alerts
- Operationalize machine learning models with MLOps practices
- Perform incident response and root cause analysis
Perks/Benefits
- Career growth opportunities
- Flexible work hours
- Hybrid work model
- Remote work
- Training opportunities
Skills/Tech-stack
API Development | AWS | Alerting | Amazon SageMaker | Ansible | Azure | Bash | CI/CD | Cloud platform | CloudFormation | Containerization | Docker | ELK Stack | FedRAMP | GitHub Actions | GitLab CI | GitLab CI/CD | Go | Google Cloud | Google Cloud Platform | Grafana | Infrastructure as Code | Jenkins | Kubernetes | Logging | MLOps | MLflow | Machine Learning | Microservices | Monitoring | NIST | Prometheus | Python | Release Management | Terraform | Vulnerability Management | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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