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Vetted Engineering Professionals in the Bay Area
Pre-screened and vetted in the Bay Area.
Popular Titles
Senior Full-Stack Software Engineer specializing in scalable SaaS platforms
Mid-level Control Systems Engineer specializing in automation, embedded systems, and hydrogen energy
Mid-level Software Engineer specializing in backend systems, cloud, and AI
Senior Full-Stack Engineer specializing in e-commerce and financial services
Mid-Level Software Engineer specializing in backend and full-stack systems
Junior Software Developer specializing in C++ systems and performance engineering
Mid-level Full-Stack Software Engineer specializing in cloud-native web and real-time systems
Mid-level Java Backend Engineer specializing in Financial Services
Staff Frontend/Full-Stack Engineer specializing in UI architecture and performance optimization
Engineering Manager specializing in cloud-native platforms across AdTech and FinTech
Senior Software Engineer specializing in AI-powered search and backend systems
Mid-level Full-Stack Engineer specializing in cloud-native web applications
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Junior Software Engineer specializing in SaaS analytics and reporting
Senior Software Engineer specializing in AI-powered backend and data platforms
Mid-level Software Engineer specializing in distributed systems and data platforms
Mahesh Purushothaman
Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms
“Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.”
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”