
Edge Cloud Software Engineer
2 weeks ago
About the Position:
We are seeking a seasoned software engineer to join our team. As a senior software engineer, you will be responsible for developing and implementing machine learning solutions at the edge, integrated with robust cloud infrastructure.
Key Responsibilities:
- Solution Design: Design and deploy ML models on OpenShift as REST APIs with real-time managed endpoints.
- Model Management: Utilize Microsoft Azure ML for experimentation, model training, versioning, and lifecycle management.
- Infrastructure Automation: Automate infrastructure provisioning using Terraform for consistent deployments across environments.
- Observability and Monitoring: Implement observability using Managed Prometheus, Grafana, Azure Application Insights, and AppInsights for edge health, performance, and usage metrics.
- DevOps and MLOps: Maintain CI/CD pipelines using Azure DevOps and ArgoCD for seamless model and infrastructure delivery.
Required Skills and Qualifications:
- 5 years of experience in ML/AI/DevOps engineering, including Edge deployment.
- Strong proficiency in OpenShift, Azure ML, and Terraform.
- Hands-on experience with Kafka, Snowflake, and Function Apps.
- Proven experience with CI/CD pipelines, preferably Azure DevOps and Argo.
- Good understanding of monitoring tools, Prometheus, Grafana, AppInsights.
Benefits:
We prioritize strong connections and community in our work model. This enables in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
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