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Vetted MongoDB Professionals
Pre-screened and vetted.
Senior UI Developer specializing in Angular and React enterprise web applications
Senior SQA Engineer specializing in test automation, CI/CD quality gates, and observability
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Executive Engineering Leader specializing in data platforms and SaaS
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Mid-level Full-Stack Engineer specializing in Java (Jakarta EE) and React/Angular
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Anshul Joshi
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
Deeksha V
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
Kimberly Michela
Junior Full-Stack Software Engineer specializing in web apps and developer tools
“Frontend engineer who built the full frontend for gameofstreaks.com using React/Next.js with an emphasis on responsive design, accessibility, SEO, and performance profiling. Has experience refactoring legacy HTML/CSS/JS sites into reusable React components and shipping quickly with unit tests, CI/CD, and branch-based deployments; also collaborates with designers in hackathon settings (e.g., an AI interview practice app).”
KrishnaVarshith Pabbisetty
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”
THAMES HARRISON
Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML
“Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.”
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”