Vetted Splunk Professionals

Pre-screened and vetted.

KJ

Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems

CA, USA5y exp
StripeWebster University
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AC

Staff Software Engineer specializing in FinTech eCommerce platforms

San Diego, California9y exp
IntuitUC San Diego
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LK

Engineering Manager specializing in scalable platforms and FinTech SaaS

Fremont, CA14y exp
SalesforceGuru Gobind Singh Indraprastha University
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JB

Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration

Austin, TX11y exp
PuzzleHRUniversity of Bristol
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MT

Senior DevOps & Cloud Engineer specializing in multi-cloud platforms and Kubernetes GitOps

Houston, TX9y exp
United AirlinesUniversity of Buea
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TM

Mid-level Software Engineer specializing in backend systems and cloud-native platforms

6y exp
MicrosoftUniversity at Buffalo
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BG

Senior Data Scientist specializing in AI/Deep Learning and applied machine learning

Austin, TX6y exp
NVIDIAIndiana Wesleyan University
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PH

Director of Cybersecurity specializing in AI and Cloud Security

Pleasanton, CA19y exp
OracleNorthwestern Polytechnic University
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GS

Senior Software Engineer specializing in frontend platforms for FinTech and e-commerce

Seattle, WA8y exp
AmazonGeorge Mason University
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AW

Senior Software Engineer specializing in scalable web applications

14y exp
SmartsheetUniversity of South Alabama
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AC

Senior Software Engineer specializing in FinTech and cloud platforms

Huston, TX11y exp
SalesforceUniversity of Houston
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DT

Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms

Delaware, USA22y exp
ChitChatShopOsmania University
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MK

Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms

Austin, TX5y exp
AmazonUniversity of Texas at Arlington
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Paul Liu - Senior Software Engineer specializing in cloud-native backend and web/mobile apps in Seattle, WA

Paul Liu

Screened

Senior Software Engineer specializing in cloud-native backend and web/mobile apps

Seattle, WA8y exp
TeslaUniversity of Calgary

Backend engineer with Tesla experience building Python-based, serverless microservices for a supply chain portal, including a MongoDB-backed tracking/logging system and a reconciler Lambda to manage retries and failures. Has hands-on Kubernetes (EKS) and GitOps (Argo CD) experience, plus real-time Kafka pipelines for fleet/IoT telemetry and proxy-based migrations from monolith systems to AWS databases.

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TW

Tracy Wong

Screened

Executive product leader specializing in SaaS, FinTech, MarTech, and AdTech

Sherman Oaks, CA21y exp
FloQastUC Berkeley

Product leader at FloQast who launched FQ Ops from scratch, expanding the company beyond close management into a broader workflow platform that reached 70% adoption and $4.5M ARR in its first year. Has led both product and interim design organizations, mentored multiple internal hires into PM roles, and brings a thoughtful human-in-the-loop AI philosophy shaped by leading AI strategy across more than 10 product areas.

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MO

Mid-Level Software Engineer specializing in cloud-native distributed systems

Bellevue, WA7y exp
AmazonUniversity of Washington

Gameplay engineer with hands-on ownership of a real-time C++ combat ability system, including diagnosing and eliminating large-scale combat frame spikes by refactoring hit detection to an event-driven, animation-notify approach (cut collision checks ~80%). Also implemented UE5 networked abilities (dash) with client-side prediction and server-authoritative reconciliation, plus projectile ballistics validated through debug spline visualizations and unit tests.

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Shreya Roy Koneri - Mid-level Software Engineer specializing in backend microservices and real-time payments in Phoenix, AZ

Mid-level Software Engineer specializing in backend microservices and real-time payments

Phoenix, AZ5y exp
American ExpressUniversity of Dayton

Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.

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KARTHIKBABU VADLOORI - Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices in San Francisco, CA

Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices

San Francisco, CA5y exp
MetaUniversity of Texas at Arlington

Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).

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AO

Aaron Oliver

Screened

Junior strategy and operations professional specializing in analytics and growth

Chicago, IL4y exp
FlyIfyStanford University

Operations and growth-oriented leader who helped build McMaster-Carr's first international sales/export function, then evolved the role into UK market growth and digital marketing. Combines cross-border operational expertise with hands-on customer experience analysis, team management, and UI/UX-driven process improvement.

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VM

Vishal Mittal

Screened

Director-level Engineering Manager specializing in cloud security platforms and AI-driven automation

Fremont, CA18y exp
Palo Alto NetworksStanford University

Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.

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