Pre-screened and vetted in California.
Mid-level Software Engineer specializing in full-stack web and cloud automation
“Full-stack TypeScript/Angular/Node engineer who owned a production healthcare application for a pharmaceutical client, supporting 100K+ monthly users across 10+ countries. Strong focus on maintainability and quality (reusable localized component library, ~90% unit test coverage, SonarQube in CI/CD) plus performance work (reported 15% client-side latency reduction and up to 50% backend latency reduction) while migrating legacy mobile code with strict backward compatibility.”
Mid-Level Software Development Engineer specializing in Healthcare IT and FinTech
Mid-Level Software Engineer specializing in backend systems, cloud, and cybersecurity
Senior Full-Stack Software Engineer specializing in logistics and e-commerce platforms
Mid-Level Software Engineer specializing in backend microservices and cloud infrastructure
Mid-Level Software Development Engineer specializing in healthcare claims automation
Mid-Level Software Development Engineer specializing in full-stack and cloud systems
Mid-level Software Development Engineer specializing in full-stack and GenAI healthcare systems
Mid-Level Software Engineer specializing in AI and distributed backend systems
Mid-level Software Development Engineer specializing in distributed systems and data platforms
Intern AI Engineer specializing in GenAI agents and backend APIs for enterprise platforms
Mid-Level Software Engineer specializing in full-stack and cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in Django/React microservices
Junior Software Engineer specializing in full-stack development and applied ML
Mid-level Software Engineer specializing in full-stack cloud and agentic AI systems
“Backend engineer with hands-on ownership of production systems across maritime tracking, HR tech, and AI-powered document workflows. They combine strong operational instincts with measurable impact—cutting API latency from 10s to 3s, improving query performance by 60%, reducing deployment time by 50%, and driving 70% infrastructure cost savings with serverless design.”
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT
Entry-Level Software Engineer specializing in backend systems and FinTech
“Software engineering intern experience at Zoho Corp and Zeus Desk building and deploying customer-facing systems. Delivered a real-time booking platform backend that stayed stable for 1,000+ users by optimizing MySQL queries/indexing and shipping hotfixes during production latency incidents. Also integrated financial operations APIs across 50+ small-bank partners by creating a normalization/validation layer to handle inconsistent partner data and prevent integration breakages.”
Mid-Level Full-Stack Software Engineer specializing in AI-powered web applications
“Full-stack software engineer who shipped production systems in academic and e-commerce contexts, including a UC Irvine course recommendation platform with async Kafka-based OCR processing (Tesseract) and LangChain-driven recommendations. Strong in building polished React/TypeScript dashboards (Figma-to-implementation) and owning Python backends (FastAPI/Flask) with solid API design, caching, and AWS EKS deployments; delivered measurable impact (tripled engagement, ~50% faster processing).”
Mid-Level Software Development Engineer specializing in GenAI automation and cloud systems
“Backend Python engineer who architected an event-driven order integration engine connecting EDI vendors to ERP/WMS/3PL systems, including a canonical order model and adapter framework to eliminate per-customer hardcoding. Has hands-on Kubernetes production experience (microservices, Celery workers, CronJobs, HPAs) and implemented GitOps/CI-CD using GitHub Actions, Docker, and ArgoCD, including moving deployments from on-prem to Azure.”
Mid-Level Software Engineer specializing in AWS microservices and distributed systems
“CloudData engineer who productionized an LLM assistant for a warehouse/logistics customer by wrapping it as a versioned, containerized API with guardrails, deterministic post-processing, and full observability. Experienced diagnosing real-time RAG/agentic incidents (latency spikes and confident-wrong answers) using trace-based isolation, replay in staging, retrieval tuning, and canary releases. Regularly runs technical demos/workshops and partners with sales on security/IAM, SLAs, and pilot rollouts to drive adoption.”
Entry-level Software Engineer specializing in AI, data engineering, and cloud DevOps
“Product-minded full-stack engineer with strong React/TypeScript, serverless AWS, and Postgres depth, highlighted by owning real-time personalization and onboarding experiences at mParticle. Stands out for combining deep performance debugging with measurable product impact—improving activation by 28%, reducing time-to-insights by 35%, and building reusable internal platform primitives adopted by 12 teams.”