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Job Title: Senior AI Cloud Engineer (AWS & Generative AI)

Location: Pune, India

Role Type: Contract

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.

Job Title: Senior AI Cloud Engineer (AWS & Generative AI)

Location: Pune, India

Role Type: Contract

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

The Associate Cloud Engineer supports cloud operations by assisting in the management of AWS and Azure environments with an emphasis on cost optimization, billing support, and security governance. The role involves monitoring cloud usage, supporting billing and access management processes, executing standard optimization actions, and following established operational and security procedures while learning from seniors.

Experience: 3 to 5 years

Roles and Responsibilities:

1. Cloud Operations & Support

Support day-to-day operations of cloud environments across AWS and Azure under established standards and supervision.

• Monitor cloud resources for availability, basic performance issues, security alerts, and usage anomalies using defined dashboards and tools.
• Log, track, and follow up on incidents, service requests, and operational issues with cloud support teams and internal SMEs.
• Maintain basic visibility of cloud resource inventory and configuration changes.
• Provide regular status updates on assigned tasks, issues, and remediation activities.

2. Cloud Economics (FinOps) Support (Primary Focus)

• Assist in monitoring cloud costs, usage, budgets, and alerts using native cloud cost management tools.
• Help identify straightforward cost inefficiencies such as idle resources, unused storage, and underutilized compute resources, and escalate recom