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Vetted Gradle Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-Level Backend/Full-Stack Software Developer specializing in cloud-native APIs
Mid-level Software Engineer specializing in backend microservices, data pipelines, and QA
Mid-level Backend/API Software Engineer specializing in identity and data observability SaaS
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in banking platforms on AWS
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Shubham Singh
Mid-level Software Engineer specializing in LLM systems and intelligent search
“Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.”
sasanka voleti
Senior DevOps & Site Reliability Engineer specializing in cloud reliability and observability
“Built and deployed a production AI/ML SRE copilot that uses RAG over real-time Splunk signals plus deployment/runbook data to generate grounded incident summaries and next steps, cutting time-to-contact by 30%. Treats the knowledge corpus like a production dataset (quality gates, semantic chunking, metadata enrichment) and runs golden-dataset automated evals to ensure reliability, while partnering closely with ops/support leaders through discovery sessions and metric-driven demos.”
Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms