DevSecOps and SRE AI ML

Must Have Technical/Functional Skills:

10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems

Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js)

Strong AI/ML experience - LLM APIs, prompt engineering, RAG architectures, embeddings, vector search

Experience building AI pipelines - model orchestration, token management, confidence scoring, intelligence buildouts

AWS fundamentals - ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridge

CI/CD pipeline experience - GitLab CI (or similar), environment management

Experience mentoring or leading offshore engineers

Strong verbal and written communication 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 / 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 |

Roles & Responsibilities:

AI & Cognitive Engineering (70%)

Build and extend internal platform features

Python backend (FastAPI) and React frontend

Develop AI automation

LLM integrations, prompt engineering, self-heal pipelines, knowledge retrieval

Lead technical design for new cognitive capabilities COG scoring, DELTA analytics, proactive monitoring

Build observability for AI systems token budgets, model accuracy, drift detection, confidence scoring.

Design and implement RAG pipelines embeddings, vector search, knowledge ingestion, 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, manage environment promotions

Manage AWS infrastructure as needed - ECS services, Lambda functions, DynamoDB, 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, static analysis

Support ServiceNow change records and Jira workflows as needed - Generate release metrics

DORA calculations, deplo yment outcomes

Salary: $75,000 - $130,000