Krishna
Chennai, Tamil Nadu, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: Active Directory, Ansible, Asana, AWS, C, CPP, Docker, Firebase, Git, Go, Grafana, GraphQL, iOS, Java, JavaScript, Jenkins, Jira, jQuery, Kubernetes, LLMs/ChatGPT, Node.js, PowerShell, Problem Solving, Python, Python3, Selenium, Terraform, UiPath, Unix, WordPress
Previously worked at: Fortune 500
Assessment Score: 75
- Experience: a dedicated Application Engineer and DevOps professional with over 2 years of experience at Amazon, where he worked on the Books Detail Pages Team and the Web View (AWV) Team. He has successfully driven improvements in deployment cycles, security risk resolution, and system performance monitoring.
- Core Competencies: Krishna possesses a strong skill set in Unix/Shell scripting, Python programming, AWS tools (such as CloudWatch, CloudFormation, S3, IAM, ECS), CI/CD pipelines, and manual/automated testing. He is adept in deploying infrastructure using AWS CDK and has hands-on experience with Apollo deployment systems and Kubernetes.
- Key Achievements: Krishna has executed over 200 weekly release cycles, resolved 500+ security and software risks, and successfully managed 5+ campaign migrations. He also created over 50 code-level metrics for product features and developed 100+ alarms for real-time production issue monitoring.
- Cost Efficiency: He significantly reduced AWS operational costs by removing unused AWS resources, saving over $500/month. Additionally, his automation initiatives led to a 10% reduction in incoming tickets/issues over a year, optimizing operational efficiency.
- Testing & Automation: As a Manual and Automation Tester, Krishna developed over 30 new test cases and wrote 10+ UI test scripts using Selenium and Python, improving test coverage and reducing manual testing overhead.
- Education: Krishna holds a Bachelor’s degree in Computer Science and Engineering from Velammal Engineering College, Chennai, graduating with a CGPA of 7.85. He also completed projects on brain tumor image classification using Convolutional Neural Networks (CNN), highlighting his academic focus on advanced computing technologies.