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Vetted Cloud-Native Architecture Professionals

Pre-screened and vetted.

SB

Senior Backend Software Engineer specializing in cloud-native platforms (AWS/Kubernetes)

Austin, TX3y exp
Trend MicroUniversity of Texas at Austin
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AG

Mid-level Full-Stack Developer specializing in cloud-native data platforms

New York, NY5y exp
DatabricksSUNY
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FZ

Staff Software Engineer specializing in Healthcare Data & AI Platforms

Chicago, IL9y exp
CVS HealthUniversity of Illinois Chicago
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JT

Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms

San Diego, CA14y exp
ServiceNowUC San Diego
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CW

Senior Software Engineer specializing in high-throughput systems across FinTech, e-commerce, and data platforms

Remote17y exp
NymbusUniversity of Alabama at Birmingham
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DM

Engineering Manager specializing in cloud-native platforms across AdTech and FinTech

San Francisco, CA18y exp
DisneySanta Clara University
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RK

Executive AI Engineering Leader specializing in research-to-production LLM systems

Las Vegas, NV22y exp
The Spodio GroupWharton School
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MD

Senior Backend Engineer specializing in Python and AWS cloud-native systems

Vancouver, WA13y exp
DeloitteWashington State University Vancouver
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LR

Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems

East Palo Alto, CA5y exp
AmazonUniversity of North Texas
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AR

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

Seattle, WA6y exp
Mercedes-BenzRochester Institute of Technology
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SK

Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications

6y exp
Fidelity InvestmentsUniversity of Texas at Dallas
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MP

Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms

San Jose, CA20y exp
XperiAnna University

Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.

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NS

Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics

Sunnyvale, CA6y exp
AmazonIndiana University Bloomington

React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.

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AG

Executive Technology & Product Leader specializing in AI/AR SaaS and cybersecurity

Los Angeles, CA30y exp
ZugaraLomonosov Moscow State University

Engineering/technology leader with mission-critical experience at JPL NASA on the Mars Curiosity Rover, delivering an AI-driven navigation system designed for zero tolerance for mistakes and reportedly operating with no failures for 15+ years. Also led a monolith-to-microservices, cloud-native migration that improved scalability by 300% and cut deployments from days to hours, and is comfortable switching between executive fundraising/stakeholder communication and deep technical leadership.

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AB

Anu Baluguri

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems

San Francisco, CA4y exp
AtlassianUniversity of Southern Mississippi

Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.

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MB

Manoj Bagul

Screened

Executive Engineering & AI Platform Leader in Enterprise SaaS

New York, NY25y exp
Qlaws.aiSavitribai Phule Pune University

Healthcare data platform builder with experience at Aetion delivering a rule-based EMR/EHR ingestion and validation framework that cut onboarding from 8–10 weeks to hours and unlocked $30M+ in revenue over ~3 years. Motivated to found an AI/agent-driven healthcare solution, with a specific interest in using PET scans, doctor notes, and treatment data with LLMs to help predict cancer progression and guide next-step treatments.

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LL

Lisa Li

Screened

Director-level Engineering Leader specializing in SaaS, Cloud, and AI/ML delivery

Katy, Texas19y exp
Sainsbury'sThe Open University

Engineering leader who has led 100+ engineers at Sainsbury’s Tech and previously scaled an org from 6 to 60+ at AND Digital. Drove a high-impact modernization of a pricing/decisioning platform serving 1,700 stores—moving from batch monolith to real-time Kafka-based event-driven microservices with MLOps, IaC (Terraform), and zero-trust—delivering £18m+ annual profit uplift and 10+ deploys/day.

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AN

Abhay Naik

Screened

Mid-level Data Engineer specializing in cloud-native analytics and enterprise integrations

Remote3y exp
The GrooveUC Berkeley

Built and productionized an LLM-powered clinical assistant at a healthcare startup, re-architecting a prototype into a robust RAG system on AWS with guardrails, citations, monitoring, and automated tests for clinical reliability. Works closely with clinicians to convert workflow feedback into evaluation criteria and iterative system improvements, and has hands-on experience debugging agentic systems in real time (including during live client demos).

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HG

Harish Gaddam

Screened

Mid-level AI/ML Engineer specializing in LLM agents and RAG systems

Dallas, TX5y exp
VerizonUniversity of Texas at Arlington

LLM/agentic systems builder at Verizon who deployed a LangGraph-orchestrated multi-agent ticket-automation platform with RAG (FAISS) to replace brittle rule-based bots. Improved routing correctness by ~30–40%, hit ~300ms latency targets via model routing, and reduced ops workload by ~60% through tight iteration with non-technical stakeholders and strong testing/observability practices.

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KG

Krishna Guda

Screened

Principal Product Engineer specializing in FinTech platforms, experimentation, and AI workflows

Mountain View, CA24y exp
Credit SesameBITS Pilani

Fintech product engineer working on a large-scale credit monitoring platform (tens of millions of users) with deep experience in regulated banking integrations, PII security, and step-up/MFA flows. Has shipped customer-facing React/TypeScript experiences driven by Optimizely experimentation and built reliable partner-facing microservices/SDKs on AWS, including resolving production traffic loss caused by edge security (DataDome/CAPTCHA) conflicts with payment providers.

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DG

Deepika Gotla

Screened

Senior Technical Support Engineer specializing in Azure Cloud & Generative AI

Bellevue, WA7y exp
MicrosoftSUNY New Paltz

Microsoft cloud/infra engineer with 5+ years supporting enterprise Azure environments, specializing in security-focused networking (private endpoints, DNS) and production troubleshooting across Azure Front Door/App Gateway WAF/AKS. Has implemented posture improvements via Defender for Cloud, Azure Policy, and RBAC tightening, and also designs secure AWS agent/scanner integrations and modern EKS/GitHub Actions/Secrets Manager observability-enabled SDK rollouts.

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