Vetted Elastic Stack (ELK) Professionals

Pre-screened and vetted.

BR

Senior Software Engineer specializing in distributed systems and cloud infrastructure

Arlington, TX12y exp
NetflixVirginia Tech
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MJ

Senior Full-Stack Python Engineer specializing in AI/ML

Chicago, IL11y exp
DropboxStanford University
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Garland, TX14y exp
AmazonUniversity of Texas at Dallas
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DC

Senior Software Engineer specializing in AI platforms, data systems, and full-stack development

Denver, CO9y exp
IBMUC Berkeley
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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JV

Senior Full-Stack Software Engineer specializing in scalable web platforms

Texas, United States10y exp
GoogleUniversity of Texas at Austin
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Remote14y exp
AmazonUniversity of Texas at Dallas
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BB

Mid-level Software Engineer specializing in backend and cloud microservices

Washington, USA4y exp
BNY MellonUniversity of Washington
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Shreya Nandhivargam - Mid-Level Backend Software Engineer specializing in payments and real-time analytics in CA

Mid-Level Backend Software Engineer specializing in payments and real-time analytics

CA5y exp
StripeSaint Louis University
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SUMANTH REDDY - Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems in San Francisco, CA

Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems

San Francisco, CA7y exp
Scale AIConcordia University Wisconsin
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SZ

Staff Full-Stack Software Engineer specializing in distributed systems and healthcare platforms

Houston, TX13y exp
SalesforceTsinghua University
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JO

Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services

Remote, US9y exp
UberCarnegie Mellon University
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SB

Senior Full-Stack Software Engineer specializing in Java/Spring and modern web apps

Lanham, Maryland10y exp
GoogleUniversity of Buea
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SL

Mid-level Software Engineer specializing in backend systems and AI platforms

California, USA5y exp
StripeUniversity of Central Missouri
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SM

Senior Python Backend Engineer specializing in cloud-native SaaS and microservices

Spanish Fork, UT11y exp
VercelUtah Valley University
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DW

Senior Full-Stack Python Engineer specializing in trading and FinTech platforms

Chicago, IL13y exp
Geneva TradingStanford University
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KT

Senior Full-Stack Engineer specializing in AI/ML product engineering

Fort Lauderdale, Florida11y exp
NetflixFlorida State University
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SS

Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security

San Francisco, CA6y exp
StripeMontclair State University
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AT

Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search

Milpitas, CA11y exp
DropboxUC Berkeley
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AM

Mid-level Software Engineer specializing in full-stack and distributed backend systems

San Francisco, CA5y exp
StripeSaint Louis University
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JW

Senior Product & Application Support Leader specializing in enterprise SaaS and cloud platforms

San Francisco Bay Area13y exp
AmazonPurdue University
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PP

Engineering Manager / Senior Backend Platform Engineer specializing in microservices and CI/CD

Houston, TX14y exp
FitbitCornell University

Fitbit engineer who has taken multiple projects from concept to release, including architecting a new warranty-evaluation system that achieved 100% accuracy and saved the company $6M. Interested in exploring startup ideas and emphasizes mission alignment and building strong cross-functional teams.

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AS

Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure

CA, USA5y exp
StripeStevens Institute of Technology

DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.

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