Key skills
PythonGoAIMLMLOpsMLflowKubeflowAirflowAWSAzureGCPTerraformKubernetesDockerEKSAKSGKEHelmPrometheusGrafanaBitbucketGitOpsAgileCI/CDCommunicationCollaboration
About this role
Pryon is a team of AI, technology, and language experts building an industry-leading knowledge management and Retrieval-Augmented Generation platform. They are seeking a Senior Engineer, Infrastructure (DevOps) to own the technical architecture and implementation of cloud-native applications, focusing on platform architecture, CI/CD, and observability infrastructure.
Responsibilities:
- Design and implement cloud-native architectures for AI/ML applications using Kubernetes (GKE, EKS, AKS)
- Architect and maintain CI/CD pipelines using modern GitOps practices with tools like FluxCD and BitBucket
- Design and implement observability solutions using Prometheus, Grafana, and other monitoring tools
- Create and maintain Infrastructure as Code (IaC) using Terraform
- Implement container orchestration strategies using Docker, Kubernetes, and Helm
- Design and implement multi-cloud deployment strategies
- Establish SLOs/SLIs and implement SRE best practices
- Automate operational tasks and create self-healing systems
- Mentor team members on DevOps best practices
- Collaborate with ML engineers and researchers to optimize model deployment and serving infrastructure
- Stay current with emerging technologies and best practices in the DevOps/MLOps space
Requirements:
- 7+ years of experience in DevOps/Platform engineering
- Deep expertise in Kubernetes, Helm and container orchestration
- Strong experience with a major cloud provider (GCP, AWS, Azure)
- Experience with CI/CD tools and GitOps practices
- Proficiency in Go, Python, or similar programming languages
- Experience with observability tools (Prometheus, Grafana, etc.)
- Knowledge of security best practices and compliance requirements
- Experience with Infrastructure as Code and configuration management
- BS degree in Computer Science or related field
- Excellent communication and collaboration skills
- Strong problem-solving abilities and systematic thinking
- Experience working in an Agile environment
- Experience with MLFlow, AirFlow, KubeFlow or Ray