Pre-screened and vetted in the Bay Area.
Mid-level Backend Software Engineer specializing in search infrastructure and AWS microservices
“Search/backend engineer with hands-on experience improving Apache Solr-based search systems end-to-end (indexing strategy changes, ETL updates, and Java/Spring Boot Search API work). Demonstrated production rigor with QA partnership, A/B testing, and rollback-safe kill switches, plus measurable product impact (e.g., +1.5% add-to-cart) and operational troubleshooting including traffic/security mitigation.”
Mid-Level Software Development Engineer specializing in AWS automation and release pipelines
Mid-level Software Engineer specializing in distributed systems and AI infrastructure
Senior Software Engineer specializing in configuration migration and network security systems
Intern Software Engineer specializing in backend automation and web/mobile development
Mid-level Full-Stack Java Developer specializing in Spring Boot, AWS, and React
Mid-level Software Engineer specializing in AI/ML, GenAI agents, and cloud microservices
Mid-level Software Engineer specializing in event-driven backend and on-device ML for robotics
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Mid-level Software Engineer specializing in distributed systems and AI-powered platforms
“Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.”
Senior Software Engineer specializing in low-latency ad targeting and distributed backend systems
“Backend/platform engineer who built a high-scale audience segmentation and real-time targeting system using Spark/Glue + S3/Hudi and low-latency API services backed by Redis/relational stores. Demonstrates strong production rigor: Spark performance tuning to eliminate OOM failures, API idempotency/caching to cut p95 latency ~40%, and careful dual-run/feature-flag migrations with reconciliation and rollback runbooks. Experienced implementing layered security with JWT/OAuth, RBAC/ABAC, and database row-level security to prevent privilege escalation.”
Senior Software Engineer specializing in AI/ML systems and FinTech platforms
“Master’s student in Data Science at San Jose State University with prior software engineering experience at JPMorgan Chase and Zap Labs. She combines enterprise backend reliability work in financial systems with hands-on full-stack AI workflow projects, including a recruiting automation system built with React/Next.js, FastAPI/Node, Kafka, and WebSockets, with a strong emphasis on observability, human-in-the-loop controls, and maintainability.”
Junior Software Engineer specializing in cloud applications and LLM-powered semantic search
Mid-level Software Engineer specializing in backend platforms and FinTech
Senior Software Engineer specializing in full-stack, data, and ML systems
Mid-level Software Engineer specializing in backend microservices and real-time data pipelines
Mid-level Software Engineer specializing in FinTech and AI-driven distributed systems
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Mid-level Full-Stack AI Engineer specializing in agentic systems
“QA/data pipeline engineer with hands-on AI product building experience, spanning enterprise AWS migration testing for Belgium postal services and personal multi-agent systems in fintech and recruiting. Stands out for combining rigorous validation and production stability work with modern LLM orchestration, guardrails, and messy-document normalization workflows.”