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Vetted Microservices Architecture Professionals
Pre-screened and vetted.
Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines
Mid-level DevOps & Cloud Platform Engineer specializing in Kubernetes on AWS and Azure
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
Senior Software Engineer specializing in distributed systems and FinTech
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior Full-Stack Developer specializing in Java microservices and cloud platforms
Mid-level Java Full-Stack Developer specializing in microservices 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.”