Shubham Jain is a Senior Software Engineer with nine years of experience specializing in cloud-native infrastructure, containers, and AI/ML stacks, currently driving engineering at Intuit after a multi-role tenure at Splunk. He blends hands-on expertise across GCP, AWS, and Azure with deep Kubernetes and Docker practice, and has implemented production CI/CD pipelines and Helm-based deployments for widely used projects like Splunk Connect for Kubernetes. His background as a solutions architect and cloud infrastructure engineer gives him a strong systems-oriented view—able to translate complex networking and virtualization requirements into automated, testable pipelines. He holds an MS in Computer Systems Networking and Telecommunications from NYU and has practical research experience with LTE simulation and NFV/SDN orchestration. Colleagues rely on him for pragmatic automation that reduces toil and improves release quality, evidenced by integrated functional testing and artifact management in CI flows. Based in Dublin, California, he brings a rare mix of telecom-grade networking knowledge and modern ML deployment experience to production engineering challenges.
8 years of coding experience
13 years of employment as a software developer
Master of Science, Computer Systems Networking and Telecommunications, 3.57, Master of Science, Computer Systems Networking and Telecommunications, 3.57 at New York University
Masters, Telecommunication Networks, 3.5, Masters, Telecommunication Networks, 3.5 at New York University - Polytechnic School of Engineering
Bachelor of Engineering, Electronics and Telecommunication, Bachelor of Engineering, Electronics and Telecommunication at Mumbai University
Contributions:9 reviews, 8 commits, 14 PRs in 1 month
Contributions summary:Shubham primarily focused on setting up and automating the CI/CD pipeline for the Kubernetes connector. They implemented a CircleCI deployment pipeline, including scripts for configuring the environment, deploying the connector with Helm, and pushing artifacts to S3. The user also added functionality to update the Helm version and clean up previous deployments, demonstrating a focus on efficient and automated deployments. Furthermore, the user integrated functional tests into the pipeline to ensure the quality of deployments.
Splunk Connect for Docker is a Docker logging plugin that allows docker containers to send their logs directly to Splunk Enterprise or a Splunk Cloud deployment.
Contributions:2 releases, 4 reviews, 22 commits in 4 years 9 months
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