DevSecOps & SRE AI/ML Engineer - AI Platform
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Role details
Tech stack
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Requirements
Visa Type: USC / GC / GC EAD Only Must-Have Skills: Python FastAPI, Pydantic & boto3 TypeScript React & Node.js AI/ML & LLM-Based Systems LLM APIs & Prompt Engineering RAG Architectures Embeddings & Vector Search AI Pipelines & Model Orchestration Token Management & Confidence Scoring AI Automation & Self-Healing Pipelines AWS ECS/Fargate, Lambda, DynamoDB, IAM AWS CloudWatch & EventBridge GitLab CI & CI/CD Pipelines Environment Management & Release Promotion Docker AI System Observability & Monitoring Production On-Call / SRE Experience Technical Design & Architecture Offshore Team Leadership & Mentoring Preferred Experience: Internal Engineering / Cognitive AI Platform Development Dynatrace / APM, DQL Queries, Alerting & SLOs Terraform & Infrastructure as Code Security Engineering SAST, DAST & Container Scanning IAM Policy Design Financial Services / Regulated Industry Experience Claude Code, GitHub Copilot & AI-Assisted Development Event-Driven Architecture EventBridge, SQS & SNS S3 & AWS Cloud Services Jira / Confluence APIs & ServiceNow Ally AI Gateway GPT / Claude RAG Knowledge Ingestion & Semantic Retrieval Claude Code / Codex / Gemini / DeepSeek DORA Metrics & Deployment Analytics Automated Testing, Coverage Enforcement & Static Analysis Bachelor’s Degree in Computer Science or related field
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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