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Vetted Cloud-Native Architecture Professionals

Pre-screened and vetted.

HU

Senior DevOps Engineer specializing in cloud infrastructure and CI/CD

Boston, Massachusetts11y exp
PicselloCOMSATS University Islamabad

IBM Power/AIX engineer who has owned a 150+ LPAR AIX 7.x estate with VIOS/HMC/vHMC and PowerHA in production, including real outage and failover recoveries. Also brings modern DevOps/IaC experience—built Jenkins pipelines deploying to AKS and implemented Terraform on AWS with remote state, locking, and drift management.

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YM

YASH MORADIYA

Screened

Mid-Level Software Engineer specializing in .NET, Azure, and microservices

Texas, USA4y exp
Principal Financial GroupCampbellsville University

Full-stack .NET/Azure engineer with end-to-end ownership of policy management microservices (React/TypeScript + C#/ASP.NET Core + Kubernetes) delivering significant performance and quality improvements (e.g., response time -35%, defects -30%, CSAT +18%). Also productionized an AI-assisted analyst workflow using Azure OpenAI with a RAG pipeline on Azure Cognitive Search, including rigorous prompt versioning, guardrails, and measurable impact (review time -40%, errors -55%). Led incremental legacy modernization via Strangler Fig and dual-write migrations with zero production regressions.

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JV

Jyothsna V

Screened

Mid-level Backend Software Engineer specializing in Python/FastAPI and cloud-native microservices

USA4y exp
Coke One North AmericaWestern Illinois University

Backend engineer who evolved Coca-Cola bottlers' Trade Promotion Optimization platform at Coke One North America, building domain-focused microservices in Node.js and Python (Flask/FastAPI) with PostgreSQL. Experienced in multi-tenant security (OAuth2/JWT, RBAC, row-level scoping by bottler/region), API contract/versioning discipline, and Azure DevOps-driven incremental rollouts with strong observability.

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UK

Senior Site Reliability Engineer specializing in cloud observability and incident response

CA, USA6y exp
Pyramid ConsultingUniversity of North Texas

Backend engineer experienced in evolving high-scale legacy on-prem systems into cloud-native, event-driven microservices on AWS/Kubernetes (noted peak traffic ~1.5M QPS). Strong focus on reliability engineering and operational excellence—SLO-driven observability, GitOps/canary rollouts, chaos testing, and preventing cascading failures (e.g., retry-storm mitigation).

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RS

Junior Software Engineer specializing in Cloud, DevOps, and AI/ML

Colombo, Sri Lanka1y exp
IFSUniversity of Westminster
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JC

Senior Software Engineer specializing in distributed systems and Azure data platforms

Camarillo, CA11y exp
HygienaCalifornia Lutheran University
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SM

Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and AWS

Valparaiso, IN4y exp
Grant ThorntonValparaiso University
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JE

Executive Technology Leader specializing in SaaS platforms, automation, and cloud infrastructure

Carrollton, TX33y exp
TriNet PharmaLinfield University
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AB

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Charlotte, NC4y exp
Al Labs WebUniversity of Central Missouri
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PV

Junior AI Software Engineer specializing in LLMs, RAG, and agentic systems

Remote2y exp
StealthUniversity of Washington
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PB

Mid-Level Full-Stack Engineer specializing in TypeScript, microservices, and AI-enabled products

Remote3y exp
Sloka TechnologiesUniversity of Texas at Dallas
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SP

Mid-Level Python Developer specializing in FinTech and Banking APIs

Austin, TX3y exp
PurevisitxWilmington University
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TP

Junior Software/Data Engineer specializing in AI/ML and cloud data platforms

Fairfax, Virginia2y exp
George Mason UniversityGeorge Mason University
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TP

Senior Backend Engineer specializing in AWS cloud-native data pipelines

High Point, NC8y exp
Meteor EducationFlorida State University
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AA

Staff-level Python Backend Engineer specializing in microservices, Kubernetes, and AI/LLM systems

6y exp
EdvenityUniversity of Montana
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RC

Senior Engineering Manager specializing in AWS cloud-native distributed systems

New York, NY11y exp
Ippon TechnologiesMIT
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AP

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

Virginia, USA5y exp
USM SystemsUniversity of Central Missouri
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AS

Senior Full-Stack Engineer specializing in cloud-native platforms and workflow automation

8y exp
CacheTech Advisor SolutionsArizona State University
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HB

Mid-level Software Engineer specializing in Java microservices and cloud-native systems

MO, USA3y exp
DXC TechnologySoutheast Missouri State University
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IL

Ian Li

Screened

Senior Test Automation Engineer specializing in mobile UI/API automation and CI/CD

7y exp
TranssionJiaying University

QA automation engineer (Tencent experience) who extended Android Monkey testing to dramatically increase activity coverage (~300%) and cut runtime from 8 hours to ~1 hour per app. Strong in Cypress/JS test architecture and CI/CD gating (GitLab + Kubernetes parallel runs), and has a track record of reproducing and documenting high-impact reliability issues (e.g., silent failures in a cloud-native mobile automation platform under network loss).

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JN

Jackie Nguyen

Screened

Senior Software Engineer / Technical Lead specializing in cloud-native microservices

Overland Park, KS8y exp
Favorite Healthcare StaffingRasmussen University

LLM/agentic-systems practitioner who shipped a recruiting resume-assistant from prototype to production, tackling hallucinations and multi-format document ingestion (PDF/images with OCR). Strong in real-time workflow debugging (logs/traces, reproducing prod issues) and pragmatic mitigation (feature flags), and helped drive customer adoption by presenting impact data and creating educational materials.

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AA

Asad Abdul

Screened

Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications

Laguna Niguel, CA4y exp
Patient XpressCalifornia State University

Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).

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