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Vetted Microservices Architecture Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems and event-driven data pipelines
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Software Engineer specializing in backend services and data engineering
Senior Full-Stack Developer specializing in FinTech and enterprise systems
Mid-level Software Engineer specializing in Java microservices and full-stack development
Mid-level Software Engineer specializing in full-stack FinTech and AI systems
Senior AI/ML Engineer specializing in Generative AI and conversational systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Python Developer specializing in cloud-native FinTech platforms
Intern Software Engineer specializing in AI, distributed systems, and cloud platforms
Senior Full-Stack Developer specializing in Java microservices and cloud platforms
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Java Developer specializing in microservices and Healthcare/FinTech systems
Executive engineering leader specializing in AI, FinTech, and cloud platforms
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.”
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Senior Machine Learning Engineer specializing in AI systems, LLMs, and MLOps
Fatema Tuzzohra
Senior Full-Stack Java Developer specializing in banking and healthcare platforms
“Enterprise-focused full-stack/backend engineer with hands-on experience shipping a production LLM-powered document analysis platform for internal operations teams. They combine cloud-native microservices expertise across AWS/Azure with practical agent-system design, including async orchestration, model routing, observability, and safeguards for hallucinations, failures, and human-review fallbacks.”
Yashwanth Thalla
Senior Software Development Engineer specializing in backend systems and data pipelines
“Backend-focused engineer with healthcare and finance experience (Cardinal Health, JPMorgan) who has owned end-to-end data flows powering dashboards, emphasizing strong validation/data quality and measurable frontend performance gains. Has shipped Spring Boot REST APIs with versioning and Swagger docs, and has stood up an MVP task management system with GitHub Actions CI/CD, Docker, and AWS EC2 deployment.”