Software Engineer Cloud

SANATH KRISHNA SATISH

Hillsboro, OR ***** • 315-***-**** • ***************@*****.*** • https://www.linkedin.com/in/sanathkrishna/ Objective

Result-oriented Cloud Software Engineer with 4+ years of hands-on experience in designing, developing and deploying cloud-based applications. Skilled in cloud-architecture, containerization and automation. Proficient in container systems like docker and container system orchestration like EC2 and Kubernetes, and various AWS services such as S3, EFS, VPC, IAM, RDS, EBS, Step functions, Lambda, SQS, SNS, AWS Systems Manager. Proven track reducing infrastructure costs by 40%, increasing system reliability by 30% and improving system efficiency by 40%. Proficient in defining clear, version-controlled API specifications to ensure seamless integration between microservices. Education

Master of Science: Computer Science (Completion: 12/17/2021, Degree received: 12/22/2021) Syracuse University - Syracuse, NY (GPA: 3.7/4.0)

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Work Experience

Cloud Software Engineer, Intel Corporation Hillsboro, Oregon, USA Description: Designed and implemented a CI/CD pipeline to analyze and conduct gen-over-gen comparison of workload performance

• Implemented the CI/CD pipeline using Jenkins and Github, thereby reducing the time taken for analysis by 30%

• Automated infrastructure deployment using Terraform, reducing the setup time by 50% and minimizing configuration errors

• Utilized AWS Step Functions, AWS Lambda and Terraform as the infrastructure as code tool for service calls and automating upload to S3 buckets and download from S3 buckets, thereby saving the on-premises storage space by over 70%

• Used Kubernetes to orchestrate the deployment, management and scaling of Docker containers

• Experience with container-based deployment using Docker, and proficiency in working with docker images, docker hub and docker-bades registries

• Enhanced the application reliability using OpenTelemetry to monitor the different types of failure logs from the simulators, thereby decreasing the failure debug time by 50%

• Experienced in installation of AWS CLI to control various AWS services through Shell or Bash scripting

• Instrumented unit and integration tests to improve the software quality and reliability

• Experience in designing, building, and maintaining frameworks that provide and consume RESTful APIs using Swagger (OpenAPI)

• Developed the user authentication and authorization by using Spring Security 0Auth2.0 and JSON Web Token (JWT)

• Proficiency in using Agile methodology for system design, development and delivery Intern, Intel Corporation Hillsboro, Oregon, USA

Description: Developed an open-source cloud-based observability stack to monitor micro-services hosted on Kubernetes environment

• Assisted the team in developing and deploying cloud infrastructure including EC2 instances, S3 buckets and AWS ECR, thereby decreasing the deployment time by 50% using terraform

• Developed, maintained and customized Helm charts for Kubernetes applications

• Assisted in setting up Prometheus for monitoring Kubernetes applications and integrated Grafana to visualize the Prometheus metrics

•Managed real-time data integration from Node Advisors using Apache Kafka

• Worked on AWS IaaS platform and have an extensive knowledge in configuring and troubleshooting various AWS services Application Development Analyst, Accenture Services Bangalore, Karnataka, India Description: Developed web-based insurance portal application for the client using HTML, JSP and Spring framework

• Designed application to interact with APIs using Ajax, JSON and XML

• Implemented Ansible scripts to automate and deploy the application on Cloud Platform Certifications

• AWS Certified Cloud Practitioner (CLF-C01) – Foundational 2021 Skills

• Programming Languages: Java, C, Rust, Groovy, Bash, Python, Javascript, SQL, HTML, CSS

• Tools & IDE: IntelliJ, Microsoft Visual Studio, Eclipse, GIT, PyCharm

• CI/CD: Jenkins, TeamCity

• Databases: MySQL, Microsoft SQL Server,

• Cloud Native Services: Kubernetes, Docker, AWS, Kafka, Helm, OpenTelemetry, Prometheus, Grafana, OAuth2.0, JWT

• Version Control: Git, GitHub

• AWS services: EC2, S3, ECR, Lambda, IAM, RDS

• Other tools: Agile, Waterfall, Scrum

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