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Vetted Splunk Professionals

Pre-screened and vetted.

JD

Senior Software Engineer specializing in distributed systems and high-scale backend platforms

Seattle, Washington8y exp
TikTokUniversity of Washington
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JW

Principal/Senior Architect specializing in AI platforms and cybersecurity

Palo Alto, CA31y exp
ApplePeking University
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UM

Upender Mula

Screened

Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech

San Francisco, CA5y exp
StripeSaint Louis University

Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.

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AC

Andrew Coven

Screened

Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms

Los Gatos, CA38y exp
OutputSanta Clara University

Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.

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MS

Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms

Orlando, FL13y exp
McKesson

IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.

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RY

Senior Software Engineer specializing in Python backend and applied AI platforms

Seattle, WA9y exp
CrowdStrikeTexas State 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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KS

Senior Software Engineer specializing in Siri/Maps conversational AI evaluation

Seattle, WA8y exp
AppleFlorida International University
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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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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JX

Jeffrey Xuzhang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in AWS cloud systems and full-stack web development

Vancouver, Canada2y exp
Amazon Web ServicesUniversity of Waterloo and Wilfrid Laurier University

Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.

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SM

Staff Full-Stack Engineer & System Architect specializing in distributed systems and microservices

South San Francisco, CA18y exp
Twist BioscienceUniversity of Colorado Boulder

Player-coach engineer/leader with experience at Twist Bioscience and Series B startup Vida Health, owning high-impact platform work across frontend and backend. Delivered a large-scale permissions migration to Okta affecting ~100,000 users and led reliability/process improvements (weekly releases, dedicated QA/dev environments, incident response with RCA) in high-growth environments.

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SN

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

CA5y exp
StripeSaint Louis University
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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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AC

Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation

Chicago, IL34y exp
QBmetricsStanford 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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BT

Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms

Remote10y exp
SnowflakeUniversity of Texas at Austin
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TB

Thazim Banu Shaffee

Screened ReferencesStrong rec.

Engineering Manager specializing in payments, risk, and high-scale distributed systems

San Jose, CA14y exp
PayPalVellore Institute of Technology

Engineering leader/player-coach on a risk core transaction platform (payments/branded checkout) who led major migrations from a monolithic stack to microservices, including API contract redesign and performance improvements (reported ~500ms latency reduction). Experienced running high-stakes production incidents (upgrade-related outage/degradation) end-to-end with RCA and rollout-process changes, and has accelerated delivery via documentation/tooling (audit sign-off cycle reduced from ~3 sprints to ~1).

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GL

George Liu

Screened

Intern Software Engineer specializing in full-stack, backend, and AI agent systems

Fremont, CA1y exp
TeslaUniversity of Waterloo

Backend engineer with Tesla experience who redesigned vehicle registration into a step-based, region-configured workflow across 4–5 microservices, enabling partial saves and reducing customer drop-off. Has hands-on experience scaling and securing Python/FastAPI APIs (OAuth2/JWT, CORS), migrating cold data from MySQL to MongoDB via Kubernetes CronJobs, and implementing RBAC/RLS with Supabase + Postgres.

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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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DG

David Gross

Screened

Entry AI Software Engineer specializing in LLM workflows and ML pipelines

Redmond, WA2y exp
MicrosoftUniversity of Texas at Austin

Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.

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SR

Mid-Level Software Engineer specializing in Python backend and ML infrastructure

Austin, TX5y exp
MetaUniversity of North Carolina at Charlotte
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