Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency
Seattle, Washington, United States
USD 129K-210K (estimate) Mid-level Full Time
Tasks
- Build CI/CD pipelines
- Build platform capabilities
- Define SDLC standards
- Deliver AI developer productivity tools
- Design backend services
- Drive AI adoption across SDLC
- Enhance observability
- Evaluate AI accuracy and reliability
- Improve performance
- Improve system availability
- Increase maintainability
- Integrate AI and LLM into platforms
- Optimize prompts models and workflows
- Optimize release and deployment systems
- Partner with cross-functional engineering teams
- Promote engineering best practices
- Support safe AI usage
Perks/Benefits
- N/A
Skills/Tech-stack
AI Workflow Orchestration | AI workflow | CD pipeline | CI Pipeline | CI/CD | Deployment Automation | Distributed Systems | Go | Java | Kafka | LLM integration | Load Balancing | Message Queue | Microservices | Model Evaluation | MySQL | Observability | Performance optimization | Prompt engineering | Python | RAG | Redis | Release automation | Reliability Engineering | Scalability | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Backend | Backend Software Engineer | Engineer | Software Engineer
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