Principal / Staff Software Engineer - Backend, MLOps and Cloud Infrastructure
Tasks
- Architect distributed backend microservices
- Build and maintain MLOps infrastructure
- Configure networking VPC DNS ingress service mesh
- Deploy observability stacks for logging metrics tracing
- Design SQL and NoSQL data layers
- Drive containerization and orchestration with Docker and Kubernetes
- Enforce code reviews automated testing and design docs
- Establish engineering best practices
- Implement CI/CD pipelines and DevOps automation
- Implement ML lifecycle data pipelining training deployment monitoring
- Implement distributed tracing
- Implement secure cloud-native solutions
- Optimize databases for throughput and low latency
- Own and secure AWS cloud infrastructure
- Scale machine learning platforms
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Asynchronous | CI/CD | DNS | Datadog | DevOps | Distributed tracing | Docker | ELK | Event Driven | Event-driven architecture | Feature Store | Grafana | Infrastructure as Code | Ingress | Kubernetes | Machine Learning | Microservices | Model Deployment | Monitoring | NoSQL | Observability | OpenSearch | Prometheus | Python | SQL | Service Mesh | VPC | “as-code”
Education
N/A
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