Prachetaa R.

Director of Engineering

Sammamish, Washington, United States13 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Built and scaled global engineering teams.
Defined multi-year technical strategies.
Delivered resilient cloud-native systems.

Stackforce AI infers this person is a SaaS Infrastructure Architect with extensive experience in cloud-native solutions.

Contact

Skills

Core Skills

Cloud InfrastructureTechnical StrategySoftware DeploymentAutomationCloud ArchitectureMicroservicesUpgrade ManagementTesting AutomationVm Migration

Other Skills

KubernetesMulti-Cloud PlatformsAWSGCPAzureKafkaSaaSCI/CDDevOpsPerformance OptimizationTeamworkData StructuresAlgorithmsMatlabComputer Science

About

Distributed systems engineer and leader always looking for a challenging systems/distributed systems project - especially one involving learning something new. * Engineering leader with 13 years of experience building secure, scalable, multi-cloud platforms and leading global remote teams across North America and EMEA, with over a decade of industry experience in the field * Proven record of defining multi-year technical strategy, scaling high-impact platform organizations, and delivering resilient systems for cloud-native SaaS at scale. * Passionate about driving alignment across engineering, product, and other teams to deliver business-critical outcomes.

Experience

13 yrs 2 mos

Total Experience

2 yrs 2 mos

Average Tenure

6 yrs 9 mos

Current Experience

Confluent

2 roles

Director

Promoted

Aug 2021 – Present · 4 yrs 8 mos · Greater Seattle Area · Remote

Founded and grew the Compute Platform organization from 2 to 40+ engineers spanning North America and EMEA remotely, responsible for the core infrastructure powering Confluent Cloud across AWS, GCP, and Azure on top of kubernetes.
Defined a 3–5 year architectural strategy for multi-tenant workload placement, enabling secure and efficient scaling beyond Kubernetes limits.
Delivered a regional, fully managed, infinitely scalable, fault-domain-aware compute and storage platform.
Drove multiple high-impact migrations onto compute platform as well as onboarding new use cases with zero customer downtime, improving overall service resilience and reliability, unifying development and deployment flows via common APIs, resulting in 50% faster onboarding and development time reduction.

KubernetesCloud InfrastructureMulti-Cloud PlatformsTechnical Strategy

Staff Software Developer

Jul 2019 – Aug 2021 · 2 yrs 1 mo · Greater Seattle Area · Remote

Automated safe deployments / upgrades of Confluent Cloud Software :
Designed and developed safe upgrades of Kafka in Confluent Cloud, leveraging k8s operator
Designed and developed a software deployment tool for all services in Confluent Cloud
Self service cluster resize functionality for Kafka in Confluent Cloud
Designed and developed kafka cluster expansion and shrink in a self service manner, driven by the customer in Confluent Cloud - critical for the cloud native experience.

KafkaKubernetesSoftware DeploymentAutomation

Delphix

3 roles

Staff Engineer

Promoted

Feb 2018 – Jun 2019 · 1 yr 4 mos · Redwood City

Build Delphix SaaS platform (on AWS) :
Centralized management platform for Delphix Engines
Founding engineer in the SaaS team, leading efforts from prototyping to scalable design and development
Developed a scalable, distributed microservice architecture, laying down the foundation to build new
features in the cloud, including CI/CD infrastructure etc.
Led development of key features for the cloud, such as SSO, auto upgrade of an on premise
component, jobs framework, telemetry information from the engine to the cloud etc.
Involved in product definition, laying down the backend architecture based on wireframes, task
breakdown, project planning and development.

SaaSMicroservicesCI/CDCloud Architecture

Senior Member of Technical Staff

Promoted

Sep 2016 – Feb 2018 · 1 yr 5 mos · Redwood City

Upgrade lifecycle of the Delphix Engine :
Technical lead in the upgrade area of the Delphix Engine
Implemented reliable self service upgrade and rollback functionality of an enterprise product
Led major improvement of upgrade and upgrade testing, cut down test times by over 75% involving devops, QA and development work
Significant customer adoption with self service upgrade success rates of over 99%

Upgrade ManagementTesting AutomationDevOps

Member of Technical Staff

Oct 2015 – Sep 2016 · 11 mos · Redwood City

Vmware

Member of Technical Staff

Jun 2014 – Oct 2015 · 1 yr 4 mos · Palo Alto, CA

Handle migration (vMotion), cloning and managing the life cycle of a Virtual Machine
Improved the performance of compatible checks (run to see which VMs can run on which ESXi host, a matrix of number of hosts x number of VMs calculation)
Sped up compatible checks by 31.8x
vMotion between on prem and vCloud Air services
Led prototyping and development efforts of vMotioning a VM from on premise ESXi host to vCloud Air and vice versa.

VM MigrationPerformance Optimization

Stanford university

Course Assistant

Sep 2013 – Jun 2014 · 9 mos · Stanford, CA

Course Assistants for the following courses :
CS 161 – Design and Analysis of Algorithms
CS 144 – Introduction to Computer Networking
CS 140 – Operating Systems
CS 155 – Computer and Network Security

Nvidia

Architecture Intern

Jun 2013 – Sep 2013 · 3 mos · Santa Clara

Developed a new memory architecture to reduce energy (by reducing 30% of requests) and improve performance (by 4 %) for the next generation chips.

Nvidia graphics pvt. ltd.

Intern

Jan 2012 – Jun 2012 · 5 mos · Bangalore, India

Worked on infrastructure development and performance verification for the memory sub system.
Developed tests and test benches for the memory subsystem.

Tu dresden

Intern

May 2011 – Jul 2011 · 2 mos · Greater Dresden Area

Developed benchmarking applications for high performance computers using Python, apache bench, likwid tools.

Igcar

Intern

May 2010 – Jul 2010 · 2 mos · Kalpakkam, India

Implemented different Image fusion schemes in MATLAB and analysis of different schemes under different external environments compared.
Proposed a new hybrid fusion scheme for best results to identify non-destructive testing.