Pre-screened and vetted.
Mid-level Software Engineer specializing in backend distributed systems and FinTech
Senior Backend Engineer specializing in telemetry, APIs, and cloud-native systems
Mid-Level Software Engineer specializing in cloud-native microservices and fraud detection
Senior Software Engineer specializing in backend platforms and distributed systems
Mid-level Full-Stack Developer specializing in Java/Spring and cloud-native microservices
Mid-Level Software Engineer specializing in cloud-native microservices for healthcare and finance
Mid-level Full-Stack Software Engineer specializing in cloud-native systems and GenAI
Senior Software Engineer specializing in backend platforms and production AI systems
Mid-level Full-Stack Engineer specializing in AI-powered enterprise applications
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.”
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 Software Engineer specializing in backend microservices and data platforms
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.”