Nitish Tiwari is a software engineer with 11 years of experience specializing in Kubernetes, cloud and systems software, based in Bengaluru. He combines backend engineering and DevOps skills, contributing production-ready features and tests to prominent open-source projects like MinIO and Pachyderm and helping operationalize storage systems for Kubernetes via the MinIO operator. His work spans SDKs (Java/Go), object storage integrations, and cloud-native databases—implementing storage-class features, object-locking flags, TLS support, and robust test coverage. Nitish has a track record of improving both developer-facing tooling and runtime reliability (kernel tuning, healthchecks, auto TLS), reflecting a pragmatic focus on performance and operability. A less obvious strength is his consistent involvement across client libraries, operators, and core services, which lets him bridge API design, implementation, and deployment concerns.
Parseable is a disk less, cloud native database for logs, observability, security, and compliance. Parseable is built with focus on simplicity & resource efficiency.
Role in this project:
Back-end Developer
Contributions:56 releases, 225 reviews, 150 commits in 1 year 1 month
Contributions summary:Nitish contributed significantly to the backend functionality of ParseableDB, including implementing features to support JSON arrays in POST requests, and adding API endpoints for listing streams and getting schemas. They were involved in modifying handler and event processing logic, alongside the related schema management. They also worked on supporting TLS and updating the code base to integrate a new release.
Simple Kubernetes Operator for MinIO clusters :computer:
Role in this project:
Back-end & DevOps Engineer
Contributions:152 reviews, 100 commits, 207 PRs in 2 years 9 months
Contributions summary:Nitish's initial commit sets up the core controller for the MinIO operator, focusing on managing MinIO clusters within Kubernetes. Subsequent commits introduce features like configurable mount paths, subpaths, resources, environment variables, readiness and liveness probes, custom schedulers, and metadata. They also implemented auto TLS support via CSR, added image pull secrets, and improved the zone addition process, indicating a focus on both back-end logic and operational aspects of the operator. The user demonstrated a strong understanding of Kubernetes concepts by implementing various functionalities like security context, and improvements to cluster management.
clustersoperatorminiok8skubernetes
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