Pre-screened and vetted in California.
Mid-level Software Engineer specializing in backend systems, GraphQL, and real-time telemetry
“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.”
Mid-level Full-Stack Software Engineer specializing in React, Spring Boot, and AWS
“JavaScript/TypeScript engineer with proven open-source impact: delivered a major reliability upgrade to a retry/error-handling library (standardized typed errors, added exponential backoff, expanded Jest tests, and implemented GitHub Actions CI) that was merged and released. Demonstrates strong performance engineering and debugging skills (profiling-driven optimization; diagnosed a race condition causing inconsistent retries) plus a documentation-first approach to developer experience.”
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 Full-Stack and AI/ML systems
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
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
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.”
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.”
Junior Software Engineer specializing in backend Python and cloud-native microservices
Entry-Level Software Engineer specializing in data pipelines, cloud DevOps, and ML
Junior Full-Stack/Backend Engineer specializing in data pipelines and LLM tools
Mid-level Backend Software Engineer specializing in real-time systems and cloud microservices
Mid-level Applied AI Developer specializing in Generative AI and Python
Mid-level Software Engineer specializing in full-stack Java microservices and cloud
Mid-Level Python Full-Stack Engineer specializing in Financial Services
“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”