Pre-screened and vetted.
Mid-level Data Engineer specializing in streaming, lakehouse platforms, and LLM-driven data workflows
Senior .NET Full-Stack Engineer specializing in Healthcare and Financial Services
Senior Full-Stack Engineer specializing in web platforms, FinTech, and game development
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Principal DevOps/SRE Engineer specializing in multi-cloud infrastructure and DevSecOps
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Senior Full-Stack Engineer specializing in Java microservices and FinTech
Senior Software Engineer specializing in full-stack web development
Mid-level Software Developer specializing in backend cloud and API platforms
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 DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure
“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”