Cloud Infrastructure Engineer with AWS & Azure Expertise

Chaithanya Reddy Kamjula

Cloud Engineer

682-***-**** ***************.*****@*****.***

Profile Summary

Cloud Engineer with 3+ years of hands-on experience designing, automating, and supporting cloud infrastructure across AWS and Azure environments. Strong background in Infrastructure as Code (Terraform, CloudFormation), container orchestration (EKS), CI/CD automation, and production monitoring. Experienced in supporting real-time data pipelines and AI/ML inference workloads in AWS. Passionate about improving reliability, reducing operational overhead, and building secure, scalable cloud-native systems.

Technical Skills

Cloud & AWS Services: AWS (EC2, S3, RDS, Lambda, ECS, EKS, IAM, VPC, Route53, Auto Scaling, ALB, SageMaker); Microsoft Azure (Virtual Machines, App Services, Azure SQL, VNet, Azure Monitor, Key Vault)

Infrastructure as Code: CloudFormation, Terraform, Ansible, ARM Templates

Containers & Orchestration: Docker, Kubernetes, EKS

CI/CD & Automation: GitHub Actions, GitLab CI, Jenkins, CodePipeline, Code Deploy

Monitoring & Logging: CloudWatch, Prometheus, Grafana, ELK Stack

Scripting & Programming: Python, Bash

Operating Systems & Networking: Linux, Nginx, TCP/IP fundamentals

Work Experience

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CarGurus MA, USA

AWS Cloud Engineer Jun 2025 – Present

Standardized EC2 provisioning by converting ad-hoc scripts and custom AMIs into reusable CloudFormation stacks, improving deployment consistency across environments.

Designed and implemented a multi-AZ ingestion pipeline using Kinesis, Lambda, and DynamoDB to support a recommendations engine, ensuring reliable and idempotent event processing.

Supported deployment and scaling of AWS SageMaker endpoints for real-time inference workloads, configuring VPC integration, IAM roles, and Auto Scaling policies to handle variable traffic patterns.

Optimized non-production environments by refining Auto Scaling policies and reviewing EC2 utilization, improving cost visibility through budget alerts.

Executed zero-downtime ECS deployments using blue/green strategy with weighted Application Load Balancer routing, monitoring CloudWatch metrics during live traffic transitions.

Improved storage governance by identifying unused EBS snapshots and S3 buckets, implementing lifecycle policies and building a lightweight Boto3 automation script.

Improved CI/CD reliability by integrating CodePipeline with ephemeral CloudFormation stacks for automated integration testing prior to production promotion.

Enhanced network security by redesigning VPC subnet segmentation and tightening security group rules while maintaining cross-account access and deployment workflows.

PagerDuty CA, USA

Cloud Operations Associate Oct 2024 – May 2025

Supported AWS-based production environments including EC2, S3, Lambda, IAM, and VPC networking configurations.

Investigated recurring alert spikes in a payment-related service, identifying Auto Scaling and health check misconfigurations and stabilizing traffic behavior.

Implemented and maintained CloudWatch dashboards, log monitoring, and alarm tuning to reduce alert noise while maintaining SLA requirements.

Assisted in supporting ML-driven alerting workflows by monitoring Lambda-based event processors and DynamoDB streams used for anomaly detection pipelines.

Collaborated with engineering teams to ensure reliable infrastructure for AI-powered event classification and intelligent routing services.

Assisted in blue/green deployments using CodeDeploy and Application Load Balancers to improve release reliability and rollback safety.

Analyzed intermittent 5xx errors under peak traffic, optimized EC2 instance sizing, and validated performance stability through load testing.

TCS Chennai, India

Associate Cloud Engineer Mar 2022 – Jul 2023

Managed Azure Virtual Machines and App Services across dev and QA environments, supporting application deployments and environment stability.

Developed and maintained ARM templates and Terraform configurations to enable consistent, repeatable infrastructure provisioning.

Implemented Azure RBAC and Key Vault integration to secure application secrets and manage access control.

Configured Azure Monitor and Log Analytics to investigate performance issues and improve visibility into application health.

Supported migration of on-prem workloads to Azure, assisting with VNet configuration, subnet planning, and network security group rules.

Automated deployment and configuration tasks using PowerShell and Azure CLI, reducing manual provisioning time.

Cloud & AI projects

Contributed to an event-driven ML inference pipeline using Kinesis, Lambda, and SageMaker to support real-time recommendations, implementing monitoring and auto-scaling configurations.

Developed a serverless log anomaly detection pipeline using S3-triggered Lambda functions and SageMaker, improving proactive incident detection.

Supported Azure-based data ingestion and ML experimentation environments with secure networking and monitored compute resources.

Education

Master of Science in Information Studies - Trine University, Detroit

Bachelor of Technology in Computer Science Engineering – Lovely Professional University, India

Certifications

AWS Certified Solutions Architect – Associate

AWS Certified Developer – Associate

Microsoft Certified: Azure Fundamentals (AZ-900)

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