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Vetted Idempotency Professionals

Pre-screened and vetted.

NV

Mid-level Full-Stack Developer specializing in cloud-native and AI-powered platforms

Remote, USA3y exp
KPMGArizona State University
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SJ

Mid-level Software Engineer specializing in distributed systems for Healthcare and E-commerce

Los Angeles, CA5y exp
Avenda HealthNortheastern University
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SB

Mid-Level Full-Stack Software Engineer specializing in FinTech and Healthcare

CA, USA6y exp
PayPalSan José State University
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SK

Mid-Level Backend Engineer specializing in microservices and high-scale APIs

Boston, MA4y exp
ToastUniversity at Buffalo
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YS

Senior Software Engineer specializing in data platforms, automation, and ML/LLM pipelines

Sunnyvale, CA12y exp
Johnson & JohnsonBeijing Normal University
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JS

Staff Software Engineer specializing in payments platforms and event-driven microservices

Las Vegas, NV14y exp
eBayUniversity of Nevada, Las Vegas
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JS

Staff Software Engineer specializing in payments platforms and event-driven microservices

San Jose, CA14y exp
eBayUniversity of Nevada, Las Vegas
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HS

Mid-level Software Development Engineer specializing in FinTech distributed systems

Austin, TX5y exp
AmazonUniversity of Houston
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AJ

Mid-level Software Developer specializing in Java microservices and distributed systems

WA4y exp
ServiceNowUniversity of Washington
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SK

Senior Solutions Consultant / Integration Engineer specializing in enterprise SaaS, payments, and automation

United States7y exp
PayPalUniversity at Buffalo
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DN

Mid-Level Software Engineer specializing in distributed systems and FinTech

Irving, TX7y exp
SoFiGeorge Mason University
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OR

Junior Full-Stack Software Engineer specializing in web platforms and algorithms

Pittsburgh, PA3y exp
Code PlatoonCarnegie Mellon University
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DB

Intern Software Engineer specializing in cloud governance and distributed systems

Carlsbad, CA2y exp
ViasatSan José State University
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HB

Junior AI Product Engineer specializing in LLM workflows and analytics automation

Pittsburgh, PA3y exp
Peak3Carnegie Mellon University
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AR

Abhyush Rajak

Screened

Mid-level Backend Software Engineer specializing in FinTech APIs and microservices

California, USA4y exp
VisaCalifornia State University, Long Beach

Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.

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MN

mahesh narne

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps

San Jose, CA3y exp
PayPalUniversity of Central Missouri

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

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AD

Aarati Dulal

Screened

Senior Full-Stack Java Engineer specializing in cloud-native microservices

Dallas, TX6y exp
Goldman SachsAvila University

Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).

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AP

Akash Patil

Screened

Mid-Level Software Engineer specializing in backend systems and LLM/RAG applications

5y exp
IntuitNorthern Illinois University

Backend/AI engineer at Intuit who built a production AI-powered case assistant for support agents (FastAPI on AWS EKS) combining Postgres case data, OpenSearch retrieval with embedding reranking, and internal LLMs. Improved peak-season reliability by diagnosing P95/P99 timeout spikes and cutting P95 latency from ~800ms to <400ms via composite indexing, keyset pagination, connection pool tuning, and caching, while adding grounded-generation guardrails (evidence packs, confidence thresholds, fallbacks, human-in-the-loop).

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