Platform Engineer, Principal
Oakland, CA, United States
R
USD 163K-270K (estimate) Senior-level Full Time
Tasks
- Add observability to agent decision making and execution paths
- Automate repetitive engineering and operations workflows end to end
- Build AI agents for autonomous multi step tasks
- Build tooling to mine analyze and map processes and procedures
- Create workflow definition execution and monitoring via natural language
- Design agentic internal developer platform
- Develop internal tools and SDKs to create new AI agents
- Develop modular scalable architectures for agents and workflows
- Ensure automation reliability auditable and secure
- Ensure security, privacy, and data governance compliance
- Extract insights from logs documentation and system interactions
- Generate recommendations for process optimization
- Implement safeguards for agent behavior monitoring validation rollback
- Improve language understanding context awareness and response accuracy
- Integrate LLMs APIs and internal systems
- Integrate with CI CD observability and developer workflows
- Maintain workflow and system dependency representations
- Measure and optimize automation efficiency gains
- Translate intent into structured actions and automated pipelines
Perks/Benefits
- Career development
- Continuous learning
- Financial growth
- Professional growth
- Remote work opportunities
Skills/Tech-stack
API Integration | Automation | Azure | CI/CD | Cloud services | Data Governance | Distributed Systems | GitOps | JavaScript | Language Models | Language Processing | Large Language Models | Logging | Monitoring | Natural Language | Natural Language Processing | Observability | Privacy | Prompt engineering | Python | REST APIs | Rollback mechanisms | Security | Software Architecture | System design | TypeScript | Validation | Workflow Orchestration
Education
Roles
Engineer | Platform | Platform Engineer | Principal | Principal Platform Engineer
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