Summary
Overview
Work History
Education
Skills
Certification
Languages
Projects
Timeline
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Sreerangam Bala Shanmukha Srinivas

Hyderabad

Summary

Proven DevOps Engineer with a solid background at LJI, where I transitioned from intern to full-time, mastering AWS, Terraform, and Python. Demonstrated expertise in infrastructure automation and a knack for innovative problem-solving. Excelled in deploying scalable cloud solutions and fostering team collaboration, significantly enhancing operational efficiency.

Overview

2
2
years of professional experience
1
1
Certification

Work History

DevOps Engineer

LJI
Hyderabad
12.2022 - Current
  • AWS: With over two years of experience working with AWS, I have gained hands-on expertise in utilizing more than 50 AWS services to design, implement, and manage cloud infrastructure. My experience spans services including EC2, S3, RDS, Lambda, IAM, CloudFormation, CloudWatch, and others, allowing me to build scalable, reliable, and cost-effective solutions tailored to the needs of diverse applications and businesses.
  • Terraform: Led and executed successful Terraform module migrations from one repository to another, ensuring zero downtime by utilizing techniques such as state file management, rolling updates, and blue-green deployment strategies.
  • Mastered advanced state management practices with remote backends like AWS S3 and Terraform Cloud to enable seamless collaboration while preventing state corruption. Ensured the secure management of sensitive information using Terraform’s built-in secret management capabilities.
  • Python: Programming experience with Python (preferred). Automated infrastructure management, report generation, checks, and remediation using Python. Worked on auditing.
  • Circle CI/CD: Implementing CircleCI for continuous integration and deployment (CI/CD), enabling faster software delivery and automated testing to maintain high-quality releases.
  • Docker: With hands-on experience in Docker, I have containerized applications, streamlined development workflows, and simplified deployments. I’ve created and managed Docker containers, optimized Dockerfiles, and used Docker Compose for multi-container setups. I’ve also leveraged Docker Swarm for orchestration and integrated Docker into CI/CD pipelines to accelerate application delivery. By incorporating Docker, I helped teams achieve scalable, portable, and isolated infrastructure, reducing conflicts across environments.
  • Jamf: Integrating Jamf for macOS device management, ensuring streamlined software deployment, security configurations, and device lifecycle management across the organization.
  • Monitoring: Leveraged CloudWatch for real-time monitoring of AWS resources such as EC2 instances, Lambda functions, RDS databases, and S3 buckets. Set up custom CloudWatch metrics, dashboards, and alarms to monitor system health and track critical performance indicators, ensuring prompt action for issues like high CPU usage, memory spikes, or network latency.
  • Datadog (for monitoring): Integrated Datadog with AWS and third-party services to provide comprehensive monitoring across multi-cloud environments. Configured Datadog dashboards for end-to-end visibility into application performance, logs, and infrastructure. Utilized Datadog's anomaly detection and alerting features to quickly identify issues, improve troubleshooting workflows, and maintain optimal system performance.
  • Refactoring IaaC scripts to make them DRY code, ETL pipelines using Glue, DMS, and the Airflow framework. Developed automated deployment processes and scripts to ensure a smooth transition from development to production. Deployed and supported infrastructure automation and configuration management tools. Reviewed project requirements to identify customer expectations and resources needed to meet goals.
  • In my DevOps role, I gained hands-on experience with tools that streamlined the development and deployment pipeline. We used Git for version control and Jenkins for CI/CD, automating testing and deployment. Docker enabled application containerization for portability.
  • Our infrastructure was managed with AWS and Terraform for infrastructure as code. For monitoring, Datadog and CloudWatch tracked performance, while the ELK Stack handled log management. We used Cloudformation for configuration management and automated provisioning, and Slack for team communication and real-time alerts. These tools significantly improved efficiency and collaboration.

Intern

LJI
Hyderabad
08.2022 - 11.2022
  • Interned at LJI for the role DevOps engineer worked on different tools like JAMF, CI/CD pipeline, Datadog, AWS cloud, Terraform
  • I was given the chance to prove myself and turned it into full-time work

Education

B. Tech - Computer Science

Avanthi Institute of Engineering And Technology
Vizianagaram
06.2022

Intermediate -

RK junior college
Vizianagaram
04.2018

Skills

  • AWS
  • Python
  • Terraform
  • Jamf
  • CI/CD
  • DevOps tools
  • Docker
  • Datadog
  • SQL
  • Jenkins
  • Kubernetes
  • Azure
  • Infrastructure automation
  • Linux operating system

Certification

  • AWS Certified Solutions Architect
  • Jamf certified associate
  • Certified React js/native developer

Languages

Telugu
First Language

Projects

  • G-agent: This project helps reduce costs and enhance security within an AWS account by collecting data from all active AWS services and storing it securely in an S3 bucket for auditing and compliance purposes. The script also plays a proactive role by automatically identifying and resolving security issues, ensuring the environment is secure and optimized without manual intervention. By centralizing data in S3, it enables easier tracking and auditing of resource usage and security configurations. The automatic remediation feature further strengthens security by promptly addressing vulnerabilities or misconfigurations, thus minimizing the potential for security risks and ensuring continuous compliance with best practices.
  • Placement cell website: In this project, I worked as a full-stack developer to create a user-friendly website for my college's placement cell. The platform allows the Training and Placement Officer (TPO) to add new hiring programs, which are then visible only to eligible candidates. Key features include displaying lists of eligible candidates, showcasing selected candidates for specific companies, and more. This system streamlines the process of managing and showcasing placement opportunities for both students and the placement team.

Timeline

DevOps Engineer

LJI
12.2022 - Current

Intern

LJI
08.2022 - 11.2022

B. Tech - Computer Science

Avanthi Institute of Engineering And Technology

Intermediate -

RK junior college

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Sreerangam Bala Shanmukha Srinivas