.png){kind=logo}
Vetted Jenkins Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Senior QA Engineer specializing in test automation for web, API, mobile, and cloud platforms
Senior Full-Stack Software Engineer specializing in React and scalable web applications
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Executive Technology Leader (CTO) specializing in SaaS architecture and full-stack development
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
Mid-level QA Automation Engineer specializing in healthcare test automation and DevOps
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Chathrapathi Nikhil Kandagatla
Mid-level Full-Stack Software Engineer specializing in React/Node and cloud-native web apps
“Full-stack engineer who built and iterated a CRM dashboard at ReplyQuick by sitting with end users, prioritizing blockers, and shipping frequent updates—improving usability and performance enough to replace a spreadsheet workflow within ~2 months. Demonstrates strong security fundamentals (OAuth2/JWT + RBAC) and practical microservices experience (decoupling a CRM API from a PDF-processing service via async processing and status tracking).”
Ravali Yerrapothu
Senior Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
“Built a production LLM-powered clinical note summarization and retrieval system that structures patient/provider/payer discussions into standardized outputs (symptoms, treatments, clinical codes, and prior-auth decisions) and stores notes as embeddings for hybrid search and proactive prior-authorization prediction. Experienced with LangChain/LangGraph orchestration, RAG, and grounding against medical code databases, and has communicated model feasibility/limitations to business stakeholders (Virtusa/Comcast).”