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Vetted Microservices Architecture Professionals

Pre-screened and vetted.

Microservices ArchitectureDockerCI/CDPythonAWSPostgreSQL
MN

Michael Nevels

Senior Software Engineer specializing in Healthcare IT platforms

Lawrenceville, GA11y exp
One MedicalTufts University
C#PythonFastAPIFlaskDjangoRedux+114
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XY

Xiedan You

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

Atlanta, GA3y exp
Joblogic-XUniversity of Texas at Austin
PythonJavaJavaScriptTypeScriptC++Go+71
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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.”

A/B TestingAmazon RedshiftAmazon SageMakerAnomaly DetectionApache AirflowApache Kafka+122
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MG

Mithilesh Gaurihar

Screened

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

USA4y exp
CitigroupArizona State University

“Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.”

AgileAJAXAmazon EC2Amazon RDSAmazon S3Amazon CloudWatch+138
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JD

Jugal Datha Rayala

Screened

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

Remote, USA5y exp
MicrosoftWebster University

“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”

PythonJavaJavaScriptTypeScriptSQLBash+96
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ZS

Zahra Shergadwala

Screened

Junior Software Developer specializing in AI/ML and data engineering

Los Angeles, CA1y exp
Solace TechnologiesUSC

“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”

AlgorithmsAmazon EC2Amazon S3Apache HadoopApache KafkaApache Spark+183
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OB

Omkar Bhope

Screened

Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation

San Jose, CA5y exp
Etched AIUC San Diego

“Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.”

PythonCC++TypeScriptJavaScriptSQL+159
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SB

Silpa Bhavani

Screened

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

Oakland, CA5y exp
BlockLamar University

“Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.”

AgileAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon EKSAmazon RDS+139
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RN

Ritvik Nimmagadda

Screened

Junior AI/ML Software Engineer specializing in LLMs and MLOps

Remote3y exp
CignaUSC

“Built and productionized an AI-native, agentic appeals decisioning system for health insurance operations, automating 500k+ scanned appeals/year. Delivered measurable impact by cutting review time from 12–15 minutes to ~3 minutes and auto-resolving ~85% of cases with strong auditability, evaluations, and human-in-the-loop guardrails, deployed as containerized microservices on Azure AKS.”

PythonC#C++JavaJavaScriptSQL+85
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AB

Akshay Bharadwaj

Screened

Senior Software Engineer specializing in React, TypeScript, and scalable web applications

Los Angeles, CA8y exp
20th Century StudiosSan Francisco State University

“Full-stack engineer with production experience building and owning high-traffic e-commerce checkout flows in Next.js (App Router) + TypeScript across microservices (REST/GraphQL). Demonstrated measurable performance wins (30% checkout improvement; 85% initial load reduction at 20th Century FOX) and strong production rigor (APM/logs, CloudWatch, Postgres indexing + EXPLAIN ANALYZE), including offloading PDF generation to AWS Lambda.”

JavaScriptTypeScriptReactReact HooksReduxMaterial UI+131
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GB

Ganesh Bandi

Screened

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

USA6y exp
Capital OneUniversity of North Texas

“LLM engineer who has deployed production RAG systems for regulated document QA (PDFs/knowledge bases), emphasizing grounded answers with citations, RBAC, monitoring, and continuous feedback. Demonstrates deep practical expertise in retrieval quality (semantic chunking, hybrid BM25+embeddings, re-ranking), reliability (guardrails, deterministic workflows), and measurable evaluation (golden sets, log replay, A/B tests) while partnering closely with compliance/operations stakeholders.”

A/B TestingAgileAmazon EKSAmazon S3Anomaly DetectionApache Spark+128
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EZ

Evan Z

Screened

Junior Software Engineer specializing in video streaming and processing systems

Champaign, IL1y exp
PhrazeUniversity of Illinois Urbana-Champaign

“Software engineering intern at China Telecom who built and continuously evolved a real-time transaction platform ("Smart Tangerine") focused on strong consistency and peak-hour concurrency. Implemented microservices with Redis and RabbitMQ to decouple heavy processing and cut latency (~80ms to ~30ms), and led a zero-downtime migration from a monolith using strangler pattern, dual-write, and traffic shadowing.”

PythonJavaTypeScriptGoJavaScriptHTML+70
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KS

Kunal Santosh Bhujbal

Screened

Mid-Level Full-Stack Software Engineer specializing in AI platforms and cloud microservices

Middletown, DE2y exp
VibeSea AIUSC

“Distributed-systems engineer applying robotics-style patterns to software: built "Vibecheck," a high-throughput real-time video + OS-telemetry fusion and analysis system (500+ MB/session) with strict latency constraints. Strong in containerization and CI/CD (Docker, GitHub Actions) and in designing fault-tolerant, event-driven architectures (Kafka/RabbitMQ), plus hands-on debugging of multi-agent coordination using blackboard + watchdog/circuit-breaker control patterns.”

TypeScriptPythonJavaC++C#Node.js+111
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SC

Shujie Chen

Screened

Entry-Level Full-Stack Software Engineer specializing in web, mobile, and distributed systems

Remote0y exp
Jiangxi Arts & Ceramics Technology InstituteUSC

“Backend engineer who built a Logistics-as-a-Service platform in Go, proactively refactoring a monolithic REST service into gRPC microservices to improve performance and maintainability. Led a 3-person team with disciplined code reviews, Dockerized DB migrations, and a canary-style rollout (5% traffic) monitored for latency and failures; also implemented JWT/OAuth2 RBAC and production-minded edge-case handling in an ordering system.”

JavaGoPythonJavaScriptTypeScriptC+90
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NP

Nikita Prasad

Screened

Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable data pipelines

Remote, USA5y exp
JPMorgan ChaseUniversity of Dayton

“Built and shipped a production LLM-powered personalized client engagement assistant in the financial domain, balancing real-time recommendations with strict privacy/compliance requirements. Demonstrates strong MLOps/LLMOps depth (Airflow + MLflow, containerized microservices, drift monitoring) and a privacy-by-design approach validated in collaboration with risk and compliance teams.”

PythonPandasspaCyRSQLPySpark+199
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EL

Ethan Lam

Screened

Junior Software Engineer specializing in data platforms and full-stack development

Toronto, Ontario3y exp
Warner Music GroupUniversity of Toronto

“Software engineer with Warner Music Group experience owning and shipping analyst-facing data products (marketing/streaming data dashboards) end-to-end with high adoption through continuous stakeholder feedback. Also builds side projects with TypeScript/React and domain-driven API design, emphasizing flexibility (including swapping databases mid-development) and pragmatic microservices reliability patterns (logging, timeouts, retry backoff).”

PythonJavaSQLScalaJavaScriptTypeScript+72
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PP

Puneetpal Powar

Screened

Junior Full-Stack Developer specializing in microservices and scalable web apps

Oakville, Canada2y exp
EnergywellUniversity of Toronto

“Full-stack developer (Energywell) who led an internal admin dashboard end-to-end using React/Redux and a Go microservice, emphasizing performance (reduced calls, preload data) and maintainable architecture (modularity, refactoring, PR reviews). Also shipped a Redis-based caching whitelist feature in a fast-paced environment and helped implement a responsive, brand-configurable onboarding/signup frontend.”

GoJavaScriptReactReduxAWSDocker+49
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LS

Likhith Sai Kumar Pasupuleti

Screened

Mid-level Software Engineer specializing in cloud-native microservices and workflow automation

TX, USA5y exp
ServiceNowCalifornia State University, Long Beach

“Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.”

JavaPythonSQLCC++R+154
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VK

Vishnu Kumar

Screened

Mid-level Full-Stack Developer specializing in FinTech and real-time payments

Remote, USA6y exp
VenmoUniversity of North Texas

“Software engineer with deep experience in real-time payments and event-driven microservices. Built a React/TypeScript + Spring Boot system using RabbitMQ, and created an internal operations dashboard that improved visibility into message-processing workflows for engineering, support, and SRE. Strong in experimentation-driven product iteration (feature flags/A-B tests) and in scaling reliability via idempotent consumers and end-to-end observability.”

ReactReact HooksRedux ToolkitWebSocketsA/B TestingAngular+61
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VR

Vaman Rao

Screened

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

NJ, USA5y exp
UberConcordia University Wisconsin

“Backend engineer focused on Python/FastAPI microservices, with hands-on experience deploying to AWS (EKS/ECR) via Jenkins and GitOps-style workflows using ArgoCD. Has built and stabilized real-time Kafka payment-event streaming pipelines and improved production performance under peak load through Redis caching, SQL optimization, and robust retry/DLQ patterns. Also supported phased migrations from on-prem environments to AWS with gradual traffic shifting and monitoring.”

JavaSpring BootSpring MVCMicroservicesREST APIsgRPC+102
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CM

Chaitanya Movva

Screened

Mid-level Full-Stack Java Developer specializing in payments and event-driven microservices

Arlington, VA5y exp
IntuitGeorge Washington University

“Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.”

JavaSpring BootSpring MVCREST APIsMicroservicesHibernate+106
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HR

Harsh Ranpura

Screened

Mid-Level Software Engineer specializing in FinTech payments and fraud detection

Remote, USA3y exp
MastercardLoyola Marymount University

“Backend/platform engineer with payments domain experience, having owned core services for MasterCard’s global card tokenization and settlement platform. Built Django/Celery microservices plus Kafka/Redis real-time fraud streaming, delivering 27% latency improvement, sub-100ms fraud checks, and 18% fewer false positives. Strong DevOps/IaC background across Kubernetes, AWS ECS, Terraform, GitHub Actions, and GitOps practices for high-scale transaction systems (including UPI at PhonePe).”

PythonDjangoFastAPIFlaskJavaScriptTypeScript+103
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ES

Edin Samuel Joselyn Chandrakumar

Screened

Senior Engineering Manager specializing in cloud platforms and risk systems

16y exp
Capital OneGovernment College of Technology, Coimbatore

“Engineering leader who proposed and delivered a new API-based document management platform to replace a vendor-dependent system, improving latency by ~1s and availability to 99.9% while migrating legacy data. Also drove Python-based automation of ~12 workflows via third-party API integrations and led an SSO/auth integration focused on backward compatibility and high login success rates.”

A/B TestingAgileAmazon CloudWatchAmazon DynamoDBAmazon ECSAmazon RDS+88
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