Senior AI Cloud Engineer

About MatchPoint Solutions

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.

Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.

Job Title: Senior AI Cloud Engineer

Location: Pune (Onsite)

Duration: Fulltime

Salary Range: 45 LPA to 48 LPA

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 how LLMs work including tokenization prompt engineering and the cost structure of different models.

Equal Employment Opportunity

MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.

This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.

About MatchPoint Solutions

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.

Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.

Job Title: Senior AI Cloud Engineer

Location: Pune

Duration: Fulltime

Salary Range: 45 LPA to 48 LPA

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 how LLMs work including tokenization prompt engineering and the cost structure of different models.

Equal Employment Opportunity

MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.

This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.