Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Deepthimai Potla, a results-driven software engineer with 5 years of experience in cloud-native development, DevOps automation, and scalable application design across diverse domains. I thrive on solving complex problems and delivering secure, high-performance solutions in collaborative, Agile environments. I specialize in building and deploying microservices using Java (Spring Boot) and Python, setting up CI/CD pipelines with Jenkins and GitHub Actions, and managing containerized environments with Docker and Kubernetes (EKS, AKS, GKE). I design IaC solutions with Terraform and AWS CloudFormation, optimize cloud operations on AWS, Azure, and GCP, and have a track record of improving deployment efficiency by up to 60%. I focus on observability and reliability with Prometheus, Grafana, and ELK Stack to reduce MTTR by 30-35%. I hold AWS Solutions Architect and AWS DevOps Engineer certifications and enjoy collaborating with cross-functional teams to deliver secure, scalable solutions.…I'm Deepthimai Potla, a results-driven software engineer with 5 years of experience in cloud-native development, DevOps automation, and scalable application design across diverse domains. I thrive on solving complex problems and delivering secure, high-performance solutions in collaborative, Agile environments. I specialize in building and deploying microservices using Java (Spring Boot) and Python, setting up CI/CD pipelines with Jenkins and GitHub Actions, and managing containerized environments with Docker and Kubernetes (EKS, AKS, GKE). I design IaC solutions with Terraform and AWS CloudFormation, optimize cloud operations on AWS, Azure, and GCP, and have a track record of improving deployment efficiency by up to 60%. I focus on observability and reliability with Prometheus, Grafana, and ELK Stack to reduce MTTR by 30-35%. I hold AWS Solutions Architect and AWS DevOps Engineer certifications and enjoy collaborating with cross-functional teams to deliver secure, scalable solutions.

Deepthimai Potla

Developer, Cloud Developer, DevOps Developer, +2





I'm Deepthimai Potla, a results-driven software engineer with 5 years of experience in cloud-native development, DevOps automation, and scalable application design across diverse domains. I thrive on solving complex problems and delivering secure, high-performance solutions in collaborative, Agile environments. I specialize in building and deploying microservices using Java (Spring Boot) and Python, setting up CI/CD pipelines with Jenkins and GitHub Actions, and managing containerized environments with Docker and Kubernetes (EKS, AKS, GKE). I design IaC solutions with Terraform and AWS CloudFormation, optimize cloud operations on AWS, Azure, and GCP, and have a track record of improving deployment efficiency by up to 60%. I focus on observability and reliability with Prometheus, Grafana, and ELK Stack to reduce MTTR by 30-35%. I hold AWS Solutions Architect and AWS DevOps Engineer certifications and enjoy collaborating with cross-functional teams to deliver secure, scalable solutions.…I'm Deepthimai Potla, a results-driven software engineer with 5 years of experience in cloud-native development, DevOps automation, and scalable application design across diverse domains. I thrive on solving complex problems and delivering secure, high-performance solutions in collaborative, Agile environments. I specialize in building and deploying microservices using Java (Spring Boot) and Python, setting up CI/CD pipelines with Jenkins and GitHub Actions, and managing containerized environments with Docker and Kubernetes (EKS, AKS, GKE). I design IaC solutions with Terraform and AWS CloudFormation, optimize cloud operations on AWS, Azure, and GCP, and have a track record of improving deployment efficiency by up to 60%. I focus on observability and reliability with Prometheus, Grafana, and ELK Stack to reduce MTTR by 30-35%. I hold AWS Solutions Architect and AWS DevOps Engineer certifications and enjoy collaborating with cross-functional teams to deliver secure, scalable solutions.

Available to hire

I’m Deepthimai Potla, a results-driven software engineer with 5 years of experience in cloud-native development, DevOps automation, and scalable application design across diverse domains. I thrive on solving complex problems and delivering secure, high-performance solutions in collaborative, Agile environments.
I specialize in building and deploying microservices using Java (Spring Boot) and Python, setting up CI/CD pipelines with Jenkins and GitHub Actions, and managing containerized environments with Docker and Kubernetes (EKS, AKS, GKE). I design IaC solutions with Terraform and AWS CloudFormation, optimize cloud operations on AWS, Azure, and GCP, and have a track record of improving deployment efficiency by up to 60%. I focus on observability and reliability with Prometheus, Grafana, and ELK Stack to reduce MTTR by 30-35%. I hold AWS Solutions Architect and AWS DevOps Engineer certifications and enjoy collaborating with cross-functional teams to deliver secure, scalable solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Software Engineer at Rackspace Technology

July 1, 2024 - Present

Developed and deployed scalable microservices using Java (Spring Boot) and Python, improving application performance by 30% and reducing latency across multi-cloud environments. Implemented CI/CD pipelines with Jenkins and GitHub Actions, enabling automated deployments and reducing release cycle time by 40% with blue/green and canary strategies. Designed and managed Kubernetes clusters (EKS, GKE, AKS) and containerized applications using Docker, lowering infrastructure costs by 20%. Built Infrastructure-as-Code solutions with Terraform and AWS CloudFormation for AWS and Azure, cutting provisioning time by 50% and increasing infrastructure consistency. Integrated monitoring and logging using Prometheus, Grafana, and ELK Stack, reducing MTTR by 35%.

Software Engineer at Rackspace Technology, USA

July 1, 2024 - Present

Developed and deployed scalable microservices using Java (Spring Boot) and Python, improving application performance by 30% and reducing response latency across multi-cloud environments. Implemented CI/CD pipelines with Jenkins and GitHub Actions, enabling automated deployments and reducing release cycle time by 40% while ensuring zero-downtime updates through blue/green and canary strategies. Designed and managed Kubernetes clusters (EKS, GKE, AKS) and containerized applications with Docker, enhancing deployment scalability and lowering infrastructure costs by 20%. Built Infrastructure-as-Code solutions with Terraform and AWS CloudFormation for AWS and Azure environments, cutting provisioning time by 50% and increasing infrastructure consistency. Integrated monitoring and logging solutions using Prometheus, Grafana, and ELK Stack, improving system observability and reducing MTTR by 35%.

Software Engineer at Rackspace Technology

July 1, 2024 - Present

Developed and deployed scalable microservices using Java (Spring Boot) and Python, improving application performance by 30% across multi-cloud environments. Implemented CI/CD pipelines with Jenkins and GitHub Actions, reducing release cycle time by 40% with zero-downtime updates via blue/green and canary deployment strategies. Managed Kubernetes clusters (EKS, GKE, AKS) and Docker containers, enhancing scalability and reducing infrastructure costs by 20%. Built Infrastructure-as-Code solutions using Terraform and AWS CloudFormation, cutting provisioning time by 50% and increasing infrastructure consistency. Integrated monitoring and logging tools such as Prometheus, Grafana, and ELK Stack to improve system observability and reduce mean time to recovery by 35%.

Cloud & DevOps Engineer at Accenture

December 31, 2022 - September 15, 2025

Designed and implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing software release cycles by 45% and enabling zero-downtime deployments through blue/green and canary strategies. Provisioned and managed scalable cloud infrastructure across AWS and Azure using Terraform and CloudFormation, cutting infrastructure setup time by 60% and ensuring environment consistency. Deployed and orchestrated containerized applications using Docker and Kubernetes (EKS, AKS), improving system scalability and reducing deployment failures by 35%. Automated repetitive operational tasks with Python and Bash scripts, reducing manual effort and improving overall team productivity. Integrated security into the DevOps pipeline (DevSecOps) by implementing IAM policies, vulnerability scans, and compliance checks, achieving 99% adherence to security best practices. Implemented robust monitoring and logging solutions using Prometheus, Grafana, and ELK Stack, reducing mean time to detection (MTTD) by

Cloud & DevOps Engineer at Accenture

December 31, 2022 - August 18, 2025

Designed and implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing software release cycles by 45% and enabling zero-downtime deployments with blue/green and canary strategies. Provisioned and managed scalable cloud infrastructure on AWS and Azure via Terraform and CloudFormation, cutting setup time by 60% and ensuring environment consistency. Deployed and orchestrated containerized applications using Docker and Kubernetes (EKS, AKS), improving scalability and cutting deployment failures by 35%. Automated operational tasks with Python and Bash, boosting team productivity. Integrated DevSecOps practices including IAM policies, vulnerability scanning, and compliance checks, achieving 99% adherence to security standards. Implemented robust monitoring with Prometheus, Grafana, and ELK Stack, reducing mean time to detection by 30%. Collaborated with Agile teams to streamline cloud migration and infrastructure modernization, improving system reliability by 25%.

Cloud & DevOps Engineer at Accenture, India

December 1, 2022 - September 15, 2025

Software Engineer Intern at Infosys

May 31, 2020 - September 15, 2025

Developed and optimized Java (Spring Boot) and Python-based modules for enterprise applications, improving application performance by 20% and reducing processing time for critical workflows. Built responsive front-end interfaces using HTML, CSS, and JavaScript. Integrated AWS services (EC2, S3, Lambda) into application workflows, enabling scalable cloud-based deployments and reducing infrastructure costs by 10%. Collaborated with senior engineers to implement CI/CD pipelines using Jenkins and Git, cutting deployment errors by 25% and accelerating release cycles. Performed unit testing and debugging of application components, reducing production defects by 30%.

Software Engineer Intern at Infosys

May 31, 2020 - August 18, 2025

Developed and optimized Java (Spring Boot) and Python modules for enterprise applications, improving performance by 20% and reducing critical workflow processing times. Built responsive front-end interfaces using HTML, CSS, and JavaScript to enhance user experience and reduce page load times. Integrated AWS services (EC2, S3, Lambda) enabling scalable cloud deployments and reducing infrastructure costs by 10%. Assisted in implementing CI/CD pipelines with Jenkins and Git, cutting deployment errors by 25% and accelerating release cycles. Performed unit testing and debugging to reduce production defects by 30%, ensuring high-quality deliverables within Agile sprints.

Software Engineer Intern at Infosys, India

May 1, 2020 - September 15, 2025

Developed and optimized Java (Spring Boot) and Python-based modules for enterprise applications, improving application performance by 20% and reducing processing time for critical workflows. Built responsive front-end interfaces using HTML, CSS, and JavaScript, enhancing user experience and reducing page load times. Integrated AWS services (EC2, S3, Lambda) into application workflows, enabling scalable cloud-based deployments and reducing infrastructure costs by 10%. Collaborated with senior engineers to implement CI/CD pipelines using Jenkins and Git, cutting deployment errors by 25% and accelerating release cycles. Performed unit testing and debugging of application components, reducing production defects by 30% and ensuring high-quality deliverables in Agile development sprints.