DevSecOps and SRE AI ML

Responsibilities

• AI & Cognitive Engineering (70%)
  • Build and extend internal platform features (Python backend with FastAPI and React frontend)
  • Develop AI automation, LLM integrations, prompt engineering, self-heal pipelines, and knowledge retrieval
  • Lead technical design for new cognitive capabilities, including COG scoring, DELTA analytics, and proactive monitoring
  • Build observability for AI systems: token budgets, model accuracy, drift detection, and confidence scoring
  • Design and implement RAG pipelines: embeddings, vector search, knowledge ingestion, and semantic retrieval
  • Contribute to Guild Commons (skills, agents, hooks) shared across the organization
  • Drive adoption of AI tooling (Claude Code) across the team; support Tier 1/Tier 2 enablement
  • Pioneer self-heal automation: detection, decision, approval, and remediation pipelines
  • Mentor offshore engineers on AI patterns, prompt engineering, and architectural decisions
• DevSecOps & Infrastructure (15%)
  • Support CI/CD pipelines: troubleshoot build failures, optimize stages, and manage environment promotions
  • Manage AWS infrastructure as needed: ECS services, Lambda functions, DynamoDB, and IAM
  • Support production incident response during US business hours when on rotation
  • Maintain Terraform configurations; review infrastructure changes
• Release Management & Quality (15%)
  • Support releases across environments (CIT → UAT → CAP → PSP → PROD)
  • Contribute to quality gates: automated testing, coverage enforcement, and static analysis
  • Support ServiceNow change records and Jira workflows as needed
  • Generate release metrics: DORA calculations and deployment outcomes

Requirements

• 10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems
• Proficiency in Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js)
• Strong AI/ML experience: LLM APIs, prompt engineering, RAG architectures, embeddings, and vector search
• Experience building AI pipelines: model orchestration, token management, confidence scoring, and intelligence buildouts
• AWS fundamentals: ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, and EventBridge
• CI/CD pipeline experience: GitLab CI (or similar) and environment management
• Experience mentoring or leading offshore engineers
• Strong verbal and written communication
• Bachelor of Computer Science or equivalent

Nice to Have

• Experience building internal engineering platforms or cognitive/AI platforms
• Dynatrace or similar APM (DQL queries, alerting, SLOs)
• Terraform for infrastructure-as-code
• Security engineering: SAST/DAST, container scanning, IAM policy design
• Financial services or regulated environment experience
• Claude Code, GitHub Copilot, or AI-assisted development workflows
• Event-driven architectures (EventBridge, SQS, SNS)
• Production on-call SRE experience

Tech Stack

Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence | APIs | ServiceNow | Ally AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/DeepSeek

Pay

$75,000 - $130,000