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Vetted Database Indexing Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
Senior Full-Stack Software Engineer specializing in .NET, Angular, and Azure cloud
Mid-Level Salesforce Developer specializing in Health Cloud and CRM automation
Intern Full-Stack Software Engineer specializing in FinTech and compliance-focused systems
Mid-level Python Backend Engineer specializing in Insurance APIs and Cloud Microservices
Mid-level Full-Stack Developer specializing in Spring Boot microservices and React
Mid-Level Full-Stack Java Developer specializing in cloud microservices and Android
Mid-level Full-Stack Web Developer specializing in modern web apps and DevOps
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and payments automation
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and AI/LLM systems
Mid-Level Full-Stack Java Developer specializing in FinTech and cloud microservices
Mid-level Data Engineer specializing in cloud data pipelines for Healthcare and FinTech
Mid-level Backend & AI Engineer specializing in agentic systems and scalable microservices
Mid-Level Full-Stack Software Engineer specializing in edtech and adaptive learning systems
Mid-level Software Engineer specializing in backend systems for Insurance and Healthcare
Mid-level Data Scientist specializing in predictive modeling and applied mathematics
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-level Backend Software Engineer specializing in APIs and scalable enterprise systems
Benjamin Ross
Senior Backend/Cloud Developer specializing in AWS serverless and legacy modernization
“AWS-focused backend/data engineer with hands-on production experience building serverless APIs (Lambda/API Gateway) secured with Cognito/JWT, deploying via Terraform + CI/CD, and managing secrets with Secrets Manager/Parameter Store. Also built AWS Glue ETL from S3 to RDS with schema evolution and data-quality controls, modernized a monolith into microservices using parallel testing, and delivered major SQL performance gains (minutes to seconds) while owning incident response for batch pipelines.”
srisindhu manchikanti
Mid-level Machine Learning Engineer specializing in multimodal and time-series AI systems
“Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.”