Vetted Observability Professionals

Pre-screened and vetted.

RR

Senior Full-Stack .NET Engineer specializing in FinTech payments and event-driven microservices

Dallas, TX13y exp
BestowUniversity of Texas at Austin
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KA

Mid-level Software Developer specializing in full-stack and backend systems

Dallas, TX5y exp
Goldman SachsUniversity of Texas at Dallas
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VG

Senior AI/ML Engineer specializing in NLP, LLMs, and MLOps

San Jose, CA8y exp
DatabricksAria University
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BT

Mid-level Software Engineer specializing in AI, data engineering, and cloud systems

San Francisco Bay Area, CA3y exp
SalesforceUniversity at Buffalo
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AP

Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps

5y exp
Northern TrustGrand Valley State University
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JB

Mid-Level Backend Software Engineer specializing in distributed systems and observability

Mountain View, CA2y exp
YahooUC Irvine
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AH

Senior Backend Engineer specializing in cloud-native microservices and secure APIs

Texas City, TX11y exp
WalmartUniversity of Texas at Austin
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XY

Mid-Level Software Engineer specializing in AI systems and full-stack development

Atlanta, GA3y exp
Joblogic-XUniversity of Texas at Austin
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SB

Mid-Level Software Engineer specializing in GenAI and FinTech

San Francisco, CA6y exp
CascaQueen's University
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SR

Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI

Remote, USA3y exp
Fisher InvestmentsUniversity of Missouri-Kansas City
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LM

Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems

Corvallis, OR3y exp
MicrotecOregon State University
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RG

Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs

5y exp
WalmartUniversity of Texas at Arlington
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DF

Executive technology leader specializing in AI-powered workplace and managed services platforms

Manalapan, NJ35y exp
NWNSheridan College
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VP

Mid-level Software Developer specializing in backend, cloud-native systems, and AI automation

Richardson, TX3y exp
Goldman SachsUniversity of Texas at Arlington
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TT

Junior Full-Stack Engineer specializing in web applications and backend systems

San Jose, CA3y exp
ParadigmUC Irvine
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HZ

Harvey Zhang

Screened ReferencesModerate rec.

Staff Platform Engineer specializing in healthcare systems and observability

Buffalo Grove, IL24y exp
CVS HealthNorthern Illinois University

Hands-on production engineer with deep Oracle tuning and observability-driven troubleshooting experience in a 24x7 healthcare system used by pharmacists across the U.S. While not yet hands-on with GCP databases, they bring strong transferable cloud and platform experience from AWS/Azure, including migration work, memory leak remediation, HA/DR operations, and end-to-end performance debugging across DB, JVM, and network layers.

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KS

Kshitij Singh

Screened ReferencesModerate rec.

Intern Software Developer specializing in healthcare data and systems analysis

Telangana, India0y exp
Apollo HospitalsIIT Jodhpur

Candidate comes from SaaS and healthcare analytics rather than game development, but has strong end-to-end ownership experience building real-time, high-availability systems in Python/AWS. They highlight measurable impact across performance, throughput, uptime, and cost reduction, including queue optimization and predictive ICU utilization pipelines, and are looking to transfer that systems engineering foundation into Unity/gameplay work.

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Vaughn Eugenio - Mid-Level Software Engineer specializing in distributed microservices and real-time systems

Vaughn Eugenio

Screened ReferencesModerate rec.

Mid-Level Software Engineer specializing in distributed microservices and real-time systems

2y exp
DraftKingsUniversity of South Carolina

Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).

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NK

NEHA KOLAN

Screened

Mid-Level Software Engineer specializing in microservices and cloud data pipelines

Texas, USA4y exp
CignaUniversity of North Texas

Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.

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YL

Yu-Chun Lin

Screened

Intern Software Engineer specializing in C++/Python systems and automation

Fremont, California1y exp
CoherentUC Irvine

Software engineer with experience delivering customer-facing solutions across consulting and engineering contexts (Deloitte, Coherent), including a finance reconciliation system and a firmware validation tool integrated into existing test infrastructure. Demonstrates strong on-site/customer collaboration, rapid iteration, and high-pressure debugging (CARLA demo fix), with measurable impact and a focus on adoption through familiar workflows and clear documentation.

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KM

Mid-Level AI/ML Software Engineer specializing in agentic LLM systems

Dallas, Texas6y exp
DatatronUniversity of West Florida

Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.

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HT

Hassam Tariq

Screened

Mid-Level Software Engineer specializing in Cloud, GenAI, and Federal systems

Arlington, VA
DeloitteUniversity of Maryland, College Park

Cloud-focused engineer experienced deploying and stabilizing complex production systems that span APIs, infrastructure, and automated workflows, with a strong observability and safe-release mindset (feature flags/canaries/rollbacks). Has hands-on, customer-facing incident leadership, including executing DR regional failover during an AWS us-east-1 outage to maintain service and reportedly save a client ~$10M.

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