Ronak Zala

Product Engineer

Menlo Park, California, United States7 yrs 8 mos experience

Highly Stable

Key Highlights

Achieved 5x increase in PPS through innovative solutions.
Led successful migration of CI/CD pipeline enhancing efficiency.
Developed high-scalability cloud profiling platform for microservices.

Stackforce AI infers this person is a SaaS-focused R&D Software Engineer with expertise in cloud solutions and data engineering.

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Skills

Core Skills

Vmware EsxiCloud SolutionsDistributed SystemsData Engineering

Other Skills

Data IngestionSDDC Performance MonitoringObservabilityCI/CDNetwork ConfigurationJavaKafkaMySQLNoSQLAWSDockerElasticsearchMongoDBVaadinJMS

About

As a seasoned R&D Software Engineer at VMware, my focus lies in elevating cloud performance through innovative engineering. Our team has successfully optimized VMware's data ingestion processes, notably enhancing SDDC performance monitoring and observability within our SaaS offerings. With a Master's in Computer Science from the University of Massachusetts Amherst, I bring a solid academic foundation to complex technical challenges. Core competencies in VMware ESXi and Shell Scripting are instrumental in my role, where I've led initiatives like the VMC on AWS, significantly improving streaming pipeline workflows. Collaboration is key; alongside my colleagues, we've achieved a 5x increase in PPS and substantial cost reductions. I am committed to driving continuous advancements in infrastructure solutions, ensuring excellence in performance engineering for cloud services.

Experience

7 yrs 8 mos

Total Experience

3 yrs 1 mo

Average Tenure

1 yr 5 mos

Current Experience

Vmware

2 roles

R&D Software Engineer - Analytics

Feb 2020 – Aug 2024 · 4 yrs 6 mos · Palo Alto, California, United States

Architected & Integrated IOInsight Collector design Perf‑Agent, optimizing data ingestion & representation for histograms.
Designed and implemented a Drop List Filtering Solution for VMC Wavefront, achieving a 5x PPS and cost reductions.
Led VMC on AWS initiatives, handling customer issues, feature requests, and improving workflows for faster deployments.
Developed infrastructure solutions to enhance SDDC performance monitoring and observability within a SaaS environment.
Migrated the PerfAgent CI/CD pipeline from Jenkins to Runway ‑ Zeus, improving the efficiency and scalability of deployments.
VMware Technologies Proficiency ‑ Extensive experience with VMware vSphere, ESXi, vSAN, NSX, and SDDC Manager.
Network Configuration Expertise ‑ Proficient in VLANs, DHCP, DNS, NTP, and configuring network settings on physical hosts.

VMware ESXiData IngestionSDDC Performance MonitoringObservabilityCloud SolutionsCI/CD+1

Software Engineering Intern - Analytics

May 2019 – Jul 2019 · 2 mos · Palo Alto, California

Designed & prototyped a high‑scalability On‑Demand Cloud JVM Profiling platform for distributed microservices in vCenter.
Platform leveraged a custom agent, Kafka for real‑time data ingestion and dual data storage in Wavefront and MySQL.
Extended an open‑source project to create a cloud‑based JVM profiling service using JavaAssist and JMX APIs.
Successfully validated the cloud profiling service through CPU/memory stress tests and performance benchmarking.

JavaKafkaMySQLCloud SolutionsDistributed Systems

Appdynamics

Software Engineer - Analytics Team

Aug 2016 – May 2018 · 1 yr 9 mos · Bengaluru Area, India

Architected high‑performing data platforms & pipelines using distributed NoSQL databases & search frameworks.
Led cloud service deployment & scaling on AWS leveraging Docker containers & distributed messaging for resilience.
Integrated & managed infrastructure and systems engineering technologies like Kafka, Elasticsearch, and Zookeper.
Delivered 30x back‑end metric query performance improvement, reducing response times from 30 min to under 1 min.

NoSQLAWSDockerKafkaElasticsearchCloud Solutions+1

M. h. alshaya co.

Software Engineer Intern

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India

Developed a Store Central control center & configuration system that collates Store specific configurations using MongoDB and JMSatures in real time basis.
Front-end was created using Vaadin which provided visibility and ability to modify the Store level product features in real time basis

MongoDBVaadinJMS