Sai Krishna Talluri
Cloud DevOps Engineer • Saint Louis, MO • s************@gmail.com • +13******729 • drivetube.ai/•••••
Professional Summary
Cloud DevOps Engineer with 4+ years of experience designing, automating, and managing highly available cloud infrastructure across AWS and Azure. Expertise in Infrastructure as Code (Terraform), Docker, Kubernetes (EKS), CI/CD (Jenkins, GitHub Actions, Azure DevOps), observability (Prometheus, Grafana, CloudWatch), Linux administration, cloud cost optimization, and platform engineering. Proven track record of reducing deployment time by 50%, lowering cloud costs by 20%, and improving MTTR through automation and monitoring in Agile environments.
Technical Skills
Programming Languages: Python,Java,Go,JavaScript,TypeScript,Bash,Shell Scripting
Databases: PostgreSQL,MySQL,SQL Server,MongoDB,Amazon RDS
Cloud and DevOps: AWS EC2,AWS EKS,AWS Lambda,AWS S3,AWS RDS,Azure Virtual Machines, App Services,Terraform,Docker,Kubernetes,Helm,Jenkins,GitHub Actions,Azure DevOps,CI,CD,Linux
Tools and Methodologies: Git,GitHub,Jira,Maven,Postman,Visual Studio,Eclipse,Agile,Scrum,SDLC,DevOps,Microservices,Distributed Systems
Monitoring & Observability: Prometheus,Grafana,Amazon CloudWatch,SonarQube
Operating Systems & Automation: Ubuntu,Amazon Linux,Python Automation
Security & Networking: IAM,VPC,Security Groups,Network ACLs,OAuth2,JWT,RBAC,Load Balancing
Work Experience
JP Morgan Chase, USA
DevOps Engineer
Mar 2025 – Present
Worked within a global financial services firm on cloud platform, CI/CD, and production reliability for applications hosted on AWS and Kubernetes.
Tech Stack: Terraform, Jenkins, GitHub Actions, Docker, Kubernetes EKS, Prometheus, Grafana, CloudWatch, AWS EC2, RDS, S3, Route 53, ELB, Linux, Python, Bash
- Architected and optimized enterprise CI/CD pipelines using Jenkins and GitHub Actions to automate build, test, security validation, and deployments, reducing deployment time by 50% and improving release reliability.
- Designed reusable Terraform modules to provision and manage AWS infrastructure (VPC, EC2, IAM, EKS, RDS, ELB, Auto Scaling, Route 53, S3) across dev/QA/prod to improve consistency and accelerate environment provisioning.
- Containerized applications with Docker and orchestrated deployments on Amazon EKS, enabling rolling updates, auto-scaling, improved availability, and simplified application delivery.
- Implemented production-grade observability using Prometheus, Grafana, and CloudWatch; built dashboards and intelligent alerts that reduced Mean Time to Resolution (MTTR) by 40%.
- Performed AWS cost optimization via Auto Scaling, lifecycle policies, and resource right-sizing, achieving ~20% reduction in cloud operational expenses while maintaining performance SLAs.
- Managed Linux production servers and administered Amazon RDS with backup automation and disaster recovery strategies; collaborated with engineering and QA teams in Agile to maintain platform stability, security, and compliance.
JP Morgan Chase, USA
DevOps Engineer Intern
Aug 2024 – Mar 2025
Internship supporting cloud-native microservices, automation, and monitoring initiatives for high-volume business applications at a financial services firm.
Tech Stack: AWS Lambda, EKS, S3, Terraform, Docker, Kubernetes, Spring Boot, PostgreSQL, Grafana, CloudWatch, SonarQube, Jira, AWS CodePipeline
- Built scalable cloud-native microservices using AWS, Docker, and Kubernetes to support high-volume business workflows and improve application scalability.
- Automated AWS infrastructure provisioning with Terraform to enforce IaC best practices, improving environment consistency and deployment efficiency.
- Developed and deployed serverless functions with AWS Lambda to support event-driven workloads, reducing infrastructure costs by 20%.
- Implemented secure REST APIs using Spring Boot and integrated backend services with frontend clients to improve responsiveness and maintainability.
- Enhanced PostgreSQL performance through query optimization, indexing, and schema improvements, reducing query execution time by 20%.
- Created monitoring dashboards with Grafana, CloudWatch, and SonarQube and participated in Agile ceremonies; collaborated with development and QA via Jira and AWS CodePipeline to shorten release cycles and enable faster incident response.
Wipro Limited, Bangalore, India
Bangalore, India
Project Engineer
Aug 2021 – Dec 2023
Worked at an IT services and consulting firm managing cloud infrastructure, CI/CD, containerization, and cloud migration projects for enterprise clients.
Tech Stack: AWS EC2, ECS, RDS, S3, Terraform, Jenkins, GitHub, Azure DevOps, Docker, Kubernetes, Helm, Python, Bash
- Managed enterprise AWS infrastructure supporting mission-critical production workloads across EC2, ECS, RDS, IAM, VPC, Route 53, ELB, Auto Scaling, and S3.
- Built and maintained end-to-end CI/CD pipelines using Jenkins, GitHub, and Azure DevOps, reducing application deployment time by over 30%.
- Automated infrastructure provisioning using Terraform to eliminate manual deployments and enforce environment consistency across multiple stages.
- Deployed containerized applications with Docker, Kubernetes, and Helm to support highly available and scalable microservices architectures.
- Configured IAM policies, security groups, and network ACLs to enforce least-privilege access and cloud security best practices for client environments.
- Automated administrative and operational tasks using Python and Bash and supported cloud migration initiatives that modernized legacy workloads and reduced infrastructure costs by ~20%.
Wipro Limited, Bangalore, India
Bangalore, India
Database & Big Data Intern
Jan 2021 – Jul 2021
Internship focused on SQL optimization, Hadoop (HDFS/MapReduce) support, and ETL reliability improvements for enterprise data processing workloads.
Tech Stack: SQL, Apache Hadoop HDFS, MapReduce, ETL, Performance Tuning, Monitoring
- Optimized SQL queries, stored procedures, and indexes, improving query execution speed by 25%.
- Supported Apache Hadoop (HDFS and MapReduce) environments by monitoring batch jobs, troubleshooting failures, and improving processing efficiency by 20%.
- Improved ETL reliability through data validation and workflow optimization, increasing ETL success rates from 85% to 95%.
Projects
Cloud Infrastructure Automation using Terraform
Tools Used: Terraform, AWS VPC, EC2, S3, RDS, Infrastructure as Code
- Developed reusable Terraform modules to provision networking, compute, storage, IAM, and database resources using IaC best practices.
- Established consistent environment provisioning patterns to reduce manual configuration drift and accelerate onboarding of new environments.
Enterprise Kubernetes Platform
Tools Used: Docker, Kubernetes, Helm, Amazon EKS
- Deployed Dockerized microservices to Amazon EKS and implemented rolling updates, auto-scaling, liveness probes, and service discovery to improve reliability.
- Packaged application deployments with Helm charts to standardize releases across environments.
Enterprise CI/CD Pipeline
Tools Used: GitHub Actions, Jenkins, AWS CodePipeline
- Designed automated CI/CD pipelines for build, unit/integration testing, security validation, and production deployment to accelerate delivery while maintaining quality.
- Integrated security checks and automated testing into pipeline stages to catch issues earlier in the release process.
Cloud Monitoring & Observability Platform
Tools Used: Prometheus, Grafana, Amazon CloudWatch, SonarQube
- Implemented production monitoring using Prometheus, Grafana, and CloudWatch dashboards with intelligent alerting to improve incident response and system reliability.
- Established SLI/SLO-oriented dashboards and alerts to reduce noise and focus on actionable incidents.
Education
Southeast Missouri State University
Master of Science in Computer and Information Sciences • Jan 2024 – Dec 2025
Coursework: Data Structures & Algorithms, Computer Networks, Software Engineering, Machine Learning, Artificial Intelligence, Systems and Architecture, Advanced Programming Language, Research Methods, Distributed Cloud Computing
Certifications
AWS Certified Solutions Architect – Associate — Amazon Web Services
Certified Kubernetes Application Developer (CKAD) — Cloud Native Computing Foundation
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