Staff Software Engineer

Zscaler

Staff Software Engineer | Apr 2020 - Present

Skills: Golang, Kubernetes, Kafka, gRPC, Neo4j, Distributed System, MongoDB, Postgres, AWS, Azure, GCP, Grafana, Redis, Terraform, Unit Testing

Zscaler - Data Security Posture Management (Z-DSPM)

• Researched, developed & delivered GCP data scan services for Workload & Cloud storage for Data Security Posture Management (DSPM), engineering a dual-mode solution to support both NAT and non-NAT environments, thereby expanding product compatibility.
• Led a team to develop an inventory collection service that gathered data at scale, tracking the resource creation and deletion lifecycle to monitor resources and potential costs in customer environments.
• Worked with the product team to research and implement Databricks integration for DSPM, supporting a cost-optimized solution to collect data via compute (SQL method) or directly from the control plane (APIs).
• Wrote code using interfaces to easily create mocks for testing and consistently ensured unit test coverage remained above 80%.
• Accelerated data scanning by dynamically scaling resources based on pending events, while simultaneously capping usage to maintain predictable costs for customers.
• Enhanced service efficiency by profiling Go applications with pprof, analyzing memory allocations (heap) and goroutine lifecycles to significantly reduce the memory footprint.

Zscaler Posture Control (ZPC)

• Architected and implemented a Kubernetes Security Posture Management (KSPM) solution specifically for Azure Kubernetes Service (AKS).
• Developed a custom Kubernetes Operator to fully automate the deployment, updates, and lifecycle management of the KSPM data collection agent.
• Authored production-ready Terraform scripts to create a streamlined and automated onboarding process for customers using the AKS solution.
• Engineered a reusable Kafka client package for event handling, which was adopted across all microservices to standardize communication, reduce code duplication, and accelerate future development.
• Led the technical team in integrating the Neo4j graph database to significantly enhance the platform's data visualization capabilities.
• Collaborated directly with the system architect to brainstorm and analyze the benefits and trade-offs of using Neo4j, influencing the final architectural decision.
• Led the architectural transformation of a monolithic application into a distributed microservices solution, containerizing services and adopting Kubernetes to enhance scalability and resilience.
• Optimized Cosmos DB performance by re-architecting the data partitioning strategy to ensure balanced Request Unit (RU) consumption, successfully eliminating frequent throttling errors and improving scalability.

Cloudneeti

Cloud Platform Engineer | 2018 - 2020

Skills: C#, Azure Functions, .Net, Cosmos DB, Azure Event Grid, AWS, Azure Application Insights

• Expanded the product's capabilities by engineering its first integration with Amazon Web Services (AWS) for resource collection, establishing a foundational framework for future multi-cloud support.
• Engineered a resilient and scalable solution to mitigate cloud API throttling and improve performance by implementing the fan-in/fan-out design pattern to effectively manage and distribute Function App workloads.
• Re-architected the scan state management system by migrating from an in-memory model to a persistent solution using Azure Storage. This enhancement provided real-time visibility into scan completion percentages and significantly improved the reliability and recoverability of the scheduling process.
• Engineered a custom policy engine that empowers users to define their own security and compliance rules. This solution provides the capability for users to write custom validation queries, significantly increasing the platform's flexibility and ability to meet specific organizational needs.