Senior AI Cloud Engineer

Years of Experience: 4 - 10years

Role Overview

We are seeking a highly technical Cloud Engineer to build and optimize our Generative AI infrastructure. This role focuses on deploying AWS Bedrock agents, automating workflows with Python , and creating robust observability and billing pipelines for LLM usage. You will be responsible for ensuring that our AI services are not only functional but also cost-effective and highly monitored through advanced logging and alerting.

Key Responsibilities

- AI Agent Orchestration : Design and deploy specialized agents using AWS Agents for Amazon Bedrock to automate complex multi-step business processes.
- Observability & Alerting : Build end-to-end "Data Log" pipelines. Identify and implement the correct AWS services for alerting (e.g., CloudWatch, SNS, or Lambda) based on log anomalies.
- Integration & Middleware : Manage and analyze Mulesoft logs to ensure seamless connectivity between legacy systems and modern AI services.
- Financial Operations (FinOps) :



Monitor billing metrics for LLM usage and AWS Bedrock services to prevent cost overruns and optimize token consumption.
- Python Automation : Write production-grade Python scripts for data processing, agent logic, and infrastructure automation.

Technical Requirements (The "Must-Haves")

- Core AWS AI Services : Hands-on experience with AWS Bedrock and AWS Agent Core logic.
- Programming : High proficiency in Python (specifically for data manipulation and API integrations).
- Logging & Monitoring : Deep understanding of log aggregation. Experience with Mulesoft logs is a significant plus.
- Alerting Frameworks : Ability to determine which AWS service to use for specific alerts (CloudWatch Alarms vs. EventBridge vs. Managed Grafana).
- LLM Knowledge : Understanding of how LLMs work, including tokenization, prompt engineering, and the cost structure of different models.

Benefits :

- Adaptable schedule

Work Location: In person

📌 Senior Cloud Engineer (Pune)
🏢 DataPattern
📍 Pune