Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Senior Software Engineer specializing in payments and scalable microservices
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Senior QA Automation Engineer specializing in web, mobile, and API testing
Mid-level Backend Software Engineer specializing in cloud-native microservices
“Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.”
Senior Engineering Manager specializing in software quality, automation, and web/mobile platforms
“Engineering leader at Bayer Crop Science leading a Core Platform team responsible for widely used open-source TypeScript/React and mobile SDKs (npm/GitHub) embedded across 10M+ monthly active devices. Known for shipping high-performance, backward-compatible developer frameworks with rigorous release discipline (bi-weekly releases, 99.99% uptime, long streaks of zero breaking changes) and major DX wins (onboarding cut to minutes, support tickets down 82%).”
Mid-level Software Engineer specializing in FinTech and compliance systems
Mid-Level Software Engineer specializing in cloud-native microservices and real-time ML pipelines
Senior Software Engineer specializing in cloud-native microservices and FinTech platforms
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Senior QA Test Engineer specializing in automation and AR/VR testing
Mid-Level Software Engineer specializing in backend and full-stack systems
Principal Salesforce Architect specializing in AI, AWS, and enterprise integrations
Mid-Level Software Engineer specializing in AI, cloud-native microservices, and full-stack systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms
Mid-level Full-Stack Software Engineer specializing in cloud and data platforms
“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”
Mid-level Software Development Engineer specializing in cloud-native backend systems
“Backend-focused engineer with experience at AWS building a global alarm processing platform (Python, Lambda/SQS/DynamoDB) handling traffic spikes and reliability issues; resolved duplicate alerts and latency under load by fixing hot partitions and enforcing idempotency. Previously at Cognizant, built Java/PostgreSQL backend workflows for healthcare dashboards using pre-aggregated summary tables, strong SQL optimization, and state-driven job orchestration with ELK-based observability and production guardrails.”
Mid-Level Java Full-Stack Developer specializing in cloud-native microservices
“QA/validation-focused engineer with experience at Meta testing an ML+LLM content classification/summarization system, including production-vs-test behavior gaps. Built automated E2E validation and drift monitoring (PSI, KL divergence, embedding cosine similarity) run daily/multiple times per day and gated via CI. Also implemented Jenkins-orchestrated Selenium/API test suites in Docker at Capgemini and partnered with a business analyst to convert business rules into automated AI-driven validation checks.”