Pre-screened and vetted in the Bay Area.
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.”
Junior Software Engineer specializing in cloud applications and LLM-powered semantic search
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 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 Software Engineer specializing in Java/Spring Boot and React
Intern Software Engineer specializing in autonomous driving middleware and real-time robotics systems
Mid-level Software Engineer specializing in backend systems and applied AI
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Junior Software Development Engineer specializing in enterprise SaaS and AI tooling
Mid-level Software Development Engineer specializing in cloud-native microservices and DevOps
Intern Full-Stack/Backend Software Engineer specializing in cloud-native systems and CI/CD
Junior Software Engineer specializing in full-stack systems and LLM automation
“Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).”
Mid-level Backend & Applied ML Engineer specializing in LLM systems and scalable APIs
“Backend engineer who significantly evolved an internal analytics/reporting platform (Python API + Postgres) powering self-service dashboards for product/business teams, focusing on reliability under heavy concurrent load and fast query performance. Demonstrates strong production engineering practices across API design (FastAPI), observability, incremental rollouts with feature flags, and data security using JWT/RBAC plus Postgres row-level security.”
Junior Software Engineer specializing in backend Python and cloud-native microservices