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Vetted Java EE Professionals
Pre-screened and vetted.
jagadeshwar nomula
Executive Technology Leader (CTO) specializing in AI, Search, Cloud, and Edge computing
“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Senior Front-End Developer specializing in Angular and enterprise web applications
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Thazim Banu Shaffee
Engineering Manager specializing in payments, risk, and high-scale distributed systems
“Engineering leader/player-coach on a risk core transaction platform (payments/branded checkout) who led major migrations from a monolithic stack to microservices, including API contract redesign and performance improvements (reported ~500ms latency reduction). Experienced running high-stakes production incidents (upgrade-related outage/degradation) end-to-end with RCA and rollout-process changes, and has accelerated delivery via documentation/tooling (audit sign-off cycle reduced from ~3 sprints to ~1).”
Ravikanth Kasamsetty
Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms
“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”
Pankaj Goyal
Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms
“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”
Executive Product & Engineering Leader specializing in Enterprise SaaS, AI/ML, and Mobile platforms
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Mid-Level Backend/Payments Engineer specializing in scalable microservices
Director-level Software Engineering Manager specializing in cloud platforms and consumer products
Mid-level Software Engineer specializing in Python backend and ML infrastructure
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare
Anirudha Deo
Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms
“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”
Sujit Singh
Engineering Director specializing in backend & data platforms for enterprise SaaS and cybersecurity
“Backend/data engineering player-coach on a UEBA cloud security analytics platform who standardized MLOps and detection development for 180+ detections, cutting ship time from 6–7 weeks to ~3 weeks while reducing false positives. Proven at operating large-scale streaming + Spark systems (200K+ events/sec, 100+ TB/day), driving major reliability/cost improvements, and leading incident response and team execution through GA.”