Yogesh Singh — Software Engineer

Engineering Productivity | Distributed Systems | Automation & DevOps Architect | Kernel & File Systems Engineering With a passion for Engineering productivity, Automation, Devops, Distributed systems, and deep kernel & file systems engineering, I have architected and built high-performance automation frameworks and tools that enhance software quality and developer efficiency, distributed file storage products empowering clients to achieve scalable, reliable, and highly available systems. I bring expertise in Python, C, C#, Kubernetes, Docker, Cloud (AWS, GCP, Azure), DevOps, DevSecOps (Hashicorp vault, BlackDuck), Jenkins, heterogenous systems (Linux, AIX, Windows, Mac, Unix), Agile Methodology, Problem Solving and intelligent test selection using ML. 🔹 Engineering Productivity & Automation: Designed end-to-end CI/CD frameworks that integrate with Jenkins, HashiCorp Vault, and Kubernetes, enabling seamless automation for cloud storage, Built diverse automation frameworks and testing tools for distributed cloud storage, ranging from custom frameworks developed from the ground up to solutions using Robot Framework, Selenium, PyTest, and Microsoft WinAppDriver. Built automation tools that optimize developer workflows and enhance testing efficiency. Developed scalable automation infrastructure spanning heterogenous systems FreeBSD, Linux, Windows, and Mac. Optimized Git repositories, containerized deployments (Docker, JFrog Artifactory), and secured CI/CD pipelines (DevSecOps). 🔹Distributed File Systems & Kernel: Developed multiple distributed file systems. Led the development of Apple File Protocol (AFP) file sharing service for Novell, architected IBM’s AIX virtualization (WPAR) feature, and scaled IBM DFS (Distributed File System) from 32-bit to 64-bit AIX. Ported major clustered file systems across Tru64, HP-UX, and Linux while resolving critical kernel crashes, deadlocks, and OS hangs. 🔹 Leadership & Innovation: Led cross-functional distributed file system and automation teams across the US, China, and India. Hackathon winner for ML-driven solutions. Multiple Top Technical Talent & Execution with Excellence awards. Conducted company-wide Python, AIX & Linux Kernel Internals & debugging, and engineering productivity trainings. I thrive on solving complex engineering challenges, optimizing automation for developer efficiency, building distributed systems and building scalable, secure infrastructure that accelerates innovation. Let’s connect and discuss how engineering productivity and automation can transform software development and operations.

Stackforce AI infers this person is a SaaS Automation and DevOps Architect with expertise in distributed systems.

Location: Pune, Maharashtra, India

Experience: 27 yrs 1 mo