Hi, I'm Sharanya Somisetty

Cloud Solutions Engineer | DevOps Enthusiast

I specialize in automating infrastructure, building robust CI/CD pipelines, and ensuring system stability with cloud-native technologies. Passionate about leveraging AI and cloud solutions to drive efficiency and innovation.

LeetCode
Sharanya Somisetty Professional Photo

About Me

I am a Cloud Solutions Engineer with a Bachelor of Technology in ECE from Lovely Professional University. My journey in tech has been driven by a passion for building scalable, efficient, and reliable systems. From developing high-performance Java APIs with Spring Boot to architecting full-stack applications, my focus has always been on creating solutions that deliver tangible results.

My expertise lies in cloud services, particularly AWS, where I've automated infrastructure provisioning with Terraform and optimized CI/CD pipelines for zero-downtime deployments. I am adept at containerization with Docker and Kubernetes and implementing robust monitoring and logging solutions with tools like Grafana and Prometheus. I'm also exploring the exciting world of Generative AI, applying RAG workflows and building AI agents to push the boundaries of what's possible.

Work Experience

Cloud Solutions Engineer

Hoods Hub

Dec 2024 - Present

  • Automated infrastructure provisioning using Terraform and AWS services.
  • Built and optimized CI/CD pipelines with Jenkins and AWS CodeDeploy for zero-downtime deployments.
  • Implemented cloud monitoring and security best practices with Grafana, Prometheus, and IAM.
  • Architected a full-stack application with Django, Next.js, and SQL Server, reducing form errors by 40%.
  • Integrated weather API data into Apache Kafka, boosting processing speed by 30%.

Software Developer

Freelance

Nov 2023 - Nov 2024

Associate Software Engineer

Xperi Inc

June 2022 - June 2023

  • Developed high-performance Java APIs with Spring Boot, boosting scalability by 20%.
  • Implemented microservices and Docker for streamlined deployment.
  • Enhanced application performance with AWS, increasing processing speed by 30%.
  • Designed a high-efficiency push notification system with Kafka and Spring Boot, increasing user engagement by 30%.

Software Development Engineer Intern

Xperi Inc

Aug 2021 - June 2022

Projects

Hotstar Kubernetes DevOps Project

A comprehensive DevOps project demonstrating end-to-end application deployment and management on AWS.

Terraform Infrastructure as Code Jenkins CI/CD Pipeline Kubernetes Monitoring with Grafana SonarQube Security Check
  • Deployed applications on AWS EC2 using Terraform and Docker.
  • Implemented Kubernetes for orchestration, DNS, and monitoring with Prometheus & Grafana.
  • Automated CI/CD pipelines using Jenkins for continuous integration and delivery.
  • Ensured code quality and security with GitHub, SonarQube, Trivy, and OWASP.
AWS Terraform Docker Kubernetes Jenkins Prometheus SonarQube

Email Scheduling and Delivery System

A microservices-based system to schedule emails, manage delivery, and track status in real time.

  • Microservices architecture with Scheduler, Delivery Worker, Sender, and Real-Time Status services.
  • Scheduler service: REST API to schedule, update, or cancel emails.
  • Delivery Worker: Polls database for pending emails and sends them to Kafka.
  • Sender Service: Consumes emails from Kafka and sends via Amazon SES, updating delivery status.
  • Real-Time Status: WebSocket-based notifications for email delivery success/failure.
Java Docker Kafka PostgreSQL WebSocket

GitHub Repository: sharanya19/Email-scheduler-service

Kafka Data Pipeline

A data processing pipeline using Kafka, Docker, and Python to consume, process, and verify messages in real-time.

  • Setup a Kafka cluster using Docker Compose.
  • Created Kafka topics, produced and consumed messages with Python.
  • Processed messages and verified outputs using Kafka console consumer and logs.
  • Scalable pipeline with multiple partitions and brokers.
Kafka Python Docker

GitHub Repository: sharanya19/Kafka_data_pipeline

LearnTerraform

A Terraform demo project illustrating basics such as environments, modules, and variables for infrastructure as code.

  • Demonstrates Terraform basics for learning and experimentation.
  • Includes different environments, reusable modules, and variables.
  • Provides a practical example to manage infrastructure as code efficiently.
Terraform Infrastructure as Code

GitHub Repository: sharanya19/LearnTerraform

Skills & Education

Languages & Databases

JavaGoShell Script SQLPostgreSQL

Cloud & DevOps

AWSDockerKubernetes GKETerraformJenkins GitHub ActionsAWS CodePipeline

Frameworks & Tools

Spring BootMicroservices Kafka

Monitoring & Security

GrafanaPrometheusLoki SonarQubeTrivyOWASP

AI / GenAI

Generative AIRAG WorkflowsAI Agents Prompt Engineering

Education

Lovely Professional University

Bachelor of Technology (ECE)

2018 - 2022 | CGPA: 8.50

Achievements & Certifications

Technical Proficiency

LeetCode: Solved 275 problems (Apr 2024 - Present), strengthening core **Data Structures and Algorithms** expertise.

DSA Algorithms Problem Solving

Cloud & Generative AI Mastery

Google Cloud SkillBoost – Diamond League (2025): Earned 31 badges including Multimodal RAG, GenAI Apps with Gemini & Streamlit, and Prompt Design in Vertex AI.

Multimodal RAG GenAI Apps Vertex AI Gemini

Generative AI Leader Certification

Successfully attained the Generative AI Leader Certification (2025), validating advanced understanding of AI strategy and implementation.

AI Strategy Leadership

Get In Touch

I'm currently seeking new opportunities and would love to hear from you. Whether you have a question or just want to connect, feel free to reach out.

Say Hello

somisettysharanya3161@gmail.com