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Vetted RabbitMQ Professionals

Pre-screened and vetted.

JR

Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3

Toronto, Canada10y exp
Bittensor
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MK

Senior Full-Stack Developer specializing in scalable web platforms and AI security

London, UK11y exp
Standing on GiantsLebanese International University

Backend/data engineer experienced building enterprise community-platform services for high-traffic global clients, using Python (FastAPI/Django) on Docker/Kubernetes with PostgreSQL/Redis. Has delivered AWS EKS + Terraform/CI-CD deployments with strong security practices (Secrets Manager/SSM, IAM/IRSA) and has hands-on ETL (AWS Glue), legacy modernization, and incident ownership with measurable performance gains (~30% faster queries).

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AR

Senior PHP Backend Developer specializing in e-commerce platforms and system architecture

Gdynia, Poland13y exp
Postdata SAGdańsk University of Technology

Unity-focused developer pivoting from web development (PHP/JavaScript) into game dev; built a player-facing Shipyard system enabling ship customization/upgrades that added a resource sink and increased player attachment. Demonstrates strong systems thinking and UX polish (icon/naming conventions, range visualization, feedback SFX/VFX) plus some exposure to RPC-style networking and Node.js prototyping.

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RK

Rakesh Kumar

Screened

Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE

3y exp
XebiaUniversity of Central Missouri

Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.

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AP

Junior Full-Stack Engineer specializing in AI/EdTech and real-time web apps

4y exp
RazeMathCal Poly San Luis Obispo

Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.

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MC

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

Kansas City, MO9y exp
Academy BankBomma Institute of Technology and Science

Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.

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AS

Amna Snene

Screened

Mid-Level Backend/Systems Engineer specializing in distributed messaging and IoT

Montreal, Canada3y exp
École de technologie supérieureÉcole de technologie supérieure

Recent research master’s graduate who built a Python backend for an interconnected RabbitMQ/MQTT system, including automation, benchmarking, and network-link optimization between brokers. Has hands-on edge computing experience (lightweight Kubernetes on a ~40 Raspberry Pi IoT cluster) and made architecture decisions for real-time streaming by evaluating Kafka and ultimately choosing Apache Storm.

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RM

Director-level Applied AI & Data Analytics Engineer specializing in real-time decisioning systems

San Francisco, California2y exp
AgxesHult International Business School

Built and shipped a production AI/LLM agent-based, event-driven credit underwriting/decisioning workflow that automated document understanding, retrieval, risk scoring, and compliance checks—cutting turnaround from ~90 days to ~5 minutes while boosting throughput 200x+ and approvals ~50%. Experienced with Airflow/Prefect orchestration, Redis/RabbitMQ queues, rigorous eval/monitoring, and close collaboration with non-technical underwriting teams.

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LG

luis gonzalez

Screened

Junior Backend/Platform Engineer specializing in cloud-native APIs and data systems

Los Angeles, CA2y exp
PresentifyCalifornia State University, Los Angeles

Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.

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VR

Mid-level Full-Stack & Data Engineer specializing in cloud-native systems and FinTech

United States4y exp
University of Central MissouriUniversity of Central Missouri

Built and shipped production AI search and RAG features for a university portal, including an embeddings-based semantic search layer and a documentation-grounded assistant with citations and anti-hallucination prompting. Also developed scalable, reliable data pipelines integrating Google Ads/GA4/Meta APIs for automated reporting, with strong focus on evaluation loops and retrieval quality improvements (hybrid search, chunking, query-log driven iteration).

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BS

Mid-level Backend Software Engineer specializing in Python APIs and cloud-native systems

Detroit, MI5y exp
HarmonecareGolden Gate University

Software/product engineer who owns customer-facing internal platforms end-to-end, with deep experience building data pipeline health and data quality tooling (near-real-time alerting and ops dashboards). Strong in React/TypeScript + Python REST architectures and microservices with RabbitMQ, emphasizing reliability patterns (idempotency, DLQs, correlation IDs) and fast, safe iteration via feature flags, testing, and observability.

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SR

Mid-Level Full-Stack Engineer specializing in microservices and cloud APIs

Cary, NC4y exp
YUG TechnologiesIllinois Institute of Technology

Software engineer who builds workflow-centric products end-to-end, including a customer-facing module on the Trident AI content platform and an internal content workflow tool adopted as the default process. Strong in TypeScript/React + FastAPI architectures and in scaling event-driven microservices with RabbitMQ, emphasizing reliability (idempotency, DLQs) and observability (correlation IDs) to reduce outages and debugging time.

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UA

Uzair Asif

Screened

Senior Full-Stack Software Engineer specializing in cloud-native web, mobile, and AI features

8y exp
Verdant SoftCOMSATS University Islamabad

Frontend lead for a consumer-facing social platform, owning architecture through release. Built scalable React/TypeScript systems (Redux Toolkit, Remix) with a shared Storybook component library and strong quality gates (CI, Jest/Cypress). Experienced modernizing legacy codebases incrementally with feature flags and shipping major dashboard features with staged rollouts and close QA collaboration.

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DS

Darshan Shah

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development

Holliston, MA6y exp
Liberating TechnologiesNortheastern University

Full-stack engineer with deep startup experience building products from scratch under ambiguous requirements. Delivered a scalable, admin-configurable notification platform (Spring Boot/Java/Kafka) supporting 50+ notification types across 3 channels for 10k+ users, cutting new notification setup to ~5 minutes. Also built a Tinder-meets-LinkedIn job-swiping app (React/TS + Node/Prisma) and has hands-on AWS production ops (ECS/EKS, RDS, CloudWatch) plus multiple third-party integrations (Stripe, QuickBooks, Twilio).

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MF

Mid-level Full-Stack Software Engineer specializing in FinTech

Brasília, Brazil4y exp
T-AlphaFederal University of Bahia

Frontend tech lead for a university e-signature platform (Next.js/React/TypeScript) replacing paper-based signing. Built a trustworthy multi-signer PDF signing workflow with backend-as-source-of-truth state handling, strong quality gates (typed contracts, linting, pre-commit, PR reviews), and performance work like Web Workers for heavy PDF operations.

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TK

Intern Full-Stack Engineer specializing in Java, React, and cloud-native backend systems

Santa Clara, CA1y exp
SmartPathSanta Clara University

Frontend-focused engineer with startup experience (SmartPath, OPC AI) who owned and evolved an internal React/TypeScript component library treated like OSS—refactoring core form and API wrapper modules for stability, type safety, and smaller bundles. Comfortable diagnosing production issues via logs/API traces and shipping end-to-end fixes with tests and documentation, including internal workshops to drive adoption.

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NV

Mid-level Full-Stack Engineer specializing in cloud-native DevOps and Kubernetes

Richardson, TX5y exp
ACL DigitalUniversity of Texas at Dallas

Full-stack engineer with strong production experience improving performance and reliability of data-heavy analytics products. Has shipped end-to-end features spanning Node/Express + PostgreSQL + Redis and React/TypeScript, deployed via Docker/GitHub Actions to AWS EKS with Helm, and monitored with Datadog/CloudWatch; also built a Python compliance automation backend for AWS security monitoring with RBAC, versioned REST APIs, and resilient throttling-aware processing.

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VA

Vivek Aher

Screened

Mid-Level Full-Stack Software Engineer specializing in mobile apps and payments

Gainesville, FL3y exp
FavoritUniversity of Florida

Startup engineer who owned an end-to-end carpool marketplace experience at FavorIt (React Native, Firebase/Firestore, Cloud Functions, Stripe) and iterated rapidly using Mixpanel + feature flags while applying rigorous integrity controls for booking and payments. Also built a TypeScript/React + Go/Postgres workout tracker and previously worked on Spring Boot microservices for financial-institution workflow automation with event-driven patterns (outbox, idempotency, backpressure tuning).

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TP

Junior Machine Learning Engineer specializing in Document AI and LLM-powered workflows

India1y exp
NOVACIS DIGITALRochester Institute of Technology

Built and owned a customer-facing Document Intelligence Service for legal contract analytics at Noasis Digital, delivering extraction/summarization with careful accuracy controls (confidence thresholds, versioned deployments, production logging). Also developed a React/TypeScript document review app and internal QA dashboard, and has hands-on microservices experience with async messaging (RabbitMQ), timeout tuning, and centralized structured logging for reliability at scale.

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EE

Senior Full-Stack Software Engineer specializing in AI and FinTech

Toronto, Canada8y exp
Reddy AIUniversity of Buea

Frontend engineer who led the mentorAi SaaS platform UI end-to-end at IBL.ai, building real-time React/Redux experiences backed by WebSockets and scaling quality with Playwright E2E tests in GitHub CI. Also worked at Paymentology for ~2 years on fintech features (token management, Visa card creation/assignment and funding flows), modernizing an existing React codebase by introducing TypeScript and strengthening CI/coverage with SonarQube to reduce deployment bugs.

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MA

Murat Arat

Screened

Junior Full-Stack Java Developer specializing in FinTech payments

Cranbury, NJ5y exp
AlacritiNJIT

Full-stack engineer with hands-on experience building end-to-end applications using Java/Spring Boot and React, including Dockerized deployment and RabbitMQ-based messaging. Worked on a high-volume payment processing system at Alacriti, focusing on performance (query optimization, caching) and reliability with monitoring via AWS CloudWatch.

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KK

Junior Software Engineer specializing in distributed systems and cloud platforms

2y exp
LancesoftSan José State University

Software engineer (Lance Soft Engineering) who built a Java/gRPC real-time request tracking system supporting ~20K simultaneous requests, using Kafka event streaming and PostgreSQL to improve transparency and cut support requests by 35%. Demonstrates strong production operations skills—resolved live latency spikes with Kafka async messaging (+48% throughput) and executed safe migrations using parallel runs, staging validation, and blue-green deployments.

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