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Vetted Software Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
Mid-level Software Engineer specializing in backend systems, security, and AI applications
Mid-level Full-Stack Python Engineer specializing in AI search and distributed systems
Mid-Level Full-Stack Software Engineer specializing in web platforms and data-driven systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
Mid-level Full-Stack/Backend Software Engineer specializing in distributed systems and cloud
Mid-level Full-Stack Software Engineer specializing in data-intensive web platforms
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
Junior Software Engineer specializing in AI infrastructure and applied machine learning
Mid-level Software Engineer specializing in distributed systems and GenAI infrastructure
Senior DevSecOps Engineer specializing in secure cloud CI/CD and compliance automation
Senior Backend Software Engineer specializing in AWS serverless and data pipelines
Senior Backend Engineer specializing in Python and cloud data platforms
Senior Software Engineer specializing in AWS distributed systems and developer tools
Mid-level Software Engineer specializing in AI infrastructure and machine learning
Staff Networking Solutions Engineer specializing in hyperscaler Ethernet switching and HPC
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Dimple Joseph
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
Lawrence Cheng
Mid-Level Backend Software Engineer specializing in FinTech platforms
“Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.”
Shiting Ding
Mid-level Software Engineer specializing in Ads backend and ML infrastructure
“Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.”