Jinxing Wang
Software Engineer at NVIDIA
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolJinxing Wang is a software engineer with 11 years of experience building scalable, production-grade distributed systems and data platforms, currently at NVIDIA after roles at Salesforce, Affirm, Fast and security-focused Oleria. He brings deep hands-on expertise in Java, C++, Python and cloud-native tooling—contributing to open-source projects like the kubeflow/spark-operator to harden Spark-on-Kubernetes operations, metrics, and security contexts. His background spans big data (HDFS, Pig, Spark), CI/CD and infrastructure-as-code (Pulumi, Terraform, Spinnaker), and multi-region Kubernetes architectures, plus a habit of adding measurable metrics to track program success. Comfortable across backend, DevOps and platform domains, he combines implementation rigor with a preference for clean, readable code and data-driven improvements. A Seattle-based engineer with a CS degree from the University of Washington, he actively shares work on GitHub and seeks teams where he can both teach and learn.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Washington
Chinese, English
Github Skills (11)
apache-spark10
kubernetes10
kubernetes-operator10
go10
go-testing10
kubernetes-pods10
testing10
dockers9
docker9
cicd8
yaml7
Programming languages (5)
Github contributions (5)
kubeflow/spark-operator
Aug 2019 - Sep 2020
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:5 reviews, 5 commits, 5 PRs in 1 year 1 month
Contributions summary:Jinxing primarily focused on enhancing the functionality and stability of the Spark operator within a Kubernetes environment. Their contributions included refining application status reporting, addressing container failures, and improving testing procedures. They also worked on monitoring configurations by implementing fixes related to metrics properties, integrating Java options, and extending ingress URL formats. Furthermore, the user addressed security context issues and synchronized syntax across the codebase.
lifecyclespark-applicationsapacheoperatorspark
jinxingwang/spark
Jul 2015 - Sep 2019
Mirror of Apache Spark
Contributions:2 PRs, 14 pushes, 1 branch in 4 years 2 months
apachebig-datasparkscalaapache-spark
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