Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Mid-level Linux DevOps Engineer specializing in automation and cloud infrastructure
Senior Frontend/Full-Stack Engineer specializing in React and TypeScript
“Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.”
Senior QA Automation Engineer specializing in Playwright UI and API test automation
“QA automation engineer with American Express experience owning an end-to-end UI regression suite for critical payment/transaction workflows. Rebuilt the suite with Playwright (BDD/TestNG/POM) and integrated it into CI to catch release-blocking issues like UI/backend payment mismatches and session timeout defects, and applies risk-based test strategy including MFA payment flows.”
Mid-level Full-Stack Developer specializing in AI-powered cloud applications
“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.”
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”
Junior Full-Stack Software Developer specializing in cloud APIs and data platforms
Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection
Mid-level Software & Robotics Engineer specializing in autonomous navigation and perception
Intern Robotics & Reinforcement Learning Engineer specializing in ROS2 manipulation and SLAM
Mid-level Full-Stack Developer specializing in Python and React for e-commerce
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Full-Stack Developer specializing in FinTech and Healthcare platforms
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level Full-Stack Java Developer specializing in Financial Services
Entry-level software engineer specializing in embedded systems and industrial IoT