Senior Lead Software Engineer- Inference platform engineer
Seattle, WA, United States
USD 170K-195K (estimate) Senior-level Full Time
Tasks
- Adopt and govern AI assisted engineering practices
- Architect and deploy secure scalable cloud platforms for AI ML
- Build CI CD automation and infrastructure as code
- Champion SDLC frameworks and best practices
- Develop secure production code
- Establish validation standards for secure coding peer review and automated testing
- Influence product design and functionality
- Lead incident root cause analysis
- Monitor manage and optimize cloud resources
- Provide technical guidance
- Review, debug, and improve code
- Streamline ML deployment with automation
- Translate AI compute needs into infrastructure requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AI Assisted Development | Automation | C# | CI/CD | CPU Serving | Cloud Computing | Docker | GPU serving | Go | Grafana | Hybrid Cloud | IaaS | Infrastructure as Code | Java | Kubernetes | ML inference | ML training | MLOps | MLflow | Machine Learning | Microservices | NVIDIA GPU | Observability | PaaS | Private Cloud | Prometheus | Public Cloud | Python | Responsible AI | Routing | SDLC | SaaS | Security | Storage | Switching | Transformer Architecture | VLLM | “as-code”
Education
N/A
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