Pre-screened and vetted in California.
Junior Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Software Engineer specializing in backend systems and applied AI
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Software Development Engineer specializing in cloud data pipelines and backend services
Junior Software Development Engineer specializing in enterprise SaaS and AI tooling
Mid-level Software Engineer specializing in backend, cloud-native systems, and GenAI
Mid-level Software Engineer specializing in cloud-native microservices and AI systems
Mid-level Software Engineer specializing in backend and full-stack web development
Mid-level Software Development Engineer specializing in cloud-native microservices and DevOps
Mid-level Backend/Cloud Software Engineer specializing in Java, AWS, and microservices
Intern Full-Stack/Backend Software Engineer specializing in cloud-native systems and CI/CD
Mid-level Full-Stack Engineer specializing in cloud-native enterprise and FinTech systems
Mid-level Full-Stack Engineer specializing in AI and real-time systems
“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 Full-Stack Software Engineer specializing in AI/ML and cloud-native systems
“At BondiTech, built and deployed customer-facing backend improvements for enterprise dashboards handling 1M+ records, redesigning a .NET/Entity Framework API with server-side pagination/filtering and feature-flagged rollout to cut latency from ~15s to ~2s. Experienced integrating customer systems into existing APIs, including stabilizing a legacy CRM sync by normalizing inconsistent IDs, handling strict rate limits with batching, and adding DLQs plus reconciliation reporting.”
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
Junior Full-Stack/Backend Engineer specializing in data pipelines and LLM tools
Mid-level Software Engineer specializing in backend, full-stack, and AI systems