Pre-screened and vetted in Washington.
Mid-level Software Engineer specializing in AWS, DevOps automation, and data platforms
“Engineer with Securonix experience deploying and operating production microservices and real-time data-processing systems at high throughput. Led AWS infrastructure, CI/CD, monitoring, and customer-driven customization for a threat-report classification solution, including rule adjustments and model retraining based on live client feedback.”
Junior Software Engineer specializing in cloud-native full-stack development
Mid-level Full-Stack Java Developer specializing in FinTech and cloud-native microservices
Mid-Level Full-Stack Software Development Engineer specializing in AWS data pipelines
Mid-level Software Engineer specializing in distributed systems and cloud-native backend
Mid-Level Software Development Engineer specializing in search, cloud services, and developer tooling
Mid-level Software Engineer specializing in AI developer tools and distributed backend systems
Mid-level Software Engineer specializing in backend systems and AWS
Mid-level Software Engineer specializing in backend systems, data pipelines, and GenAI automation
Senior Software Engineer specializing in backend, data pipelines, and AWS cloud-native microservices
Mid-Level Full-Stack Java Developer specializing in microservices, cloud, and AI integrations
Mid-Level Software Engineer specializing in backend platforms and healthcare AI
Mid-Level Software Engineer specializing in backend, cloud, and GenAI assistants
Mid-level Software Engineer specializing in cloud-native systems and ML/Generative AI automation
Mid-level Software Development Engineer specializing in distributed systems and GenAI
Mid-Level Software Engineer specializing in full-stack and cloud microservices
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Mid-level Software Engineer specializing in full-stack cloud and embedded systems
Mid-Level Software Engineer specializing in cloud backend and GenAI assistants
Mid-level Machine Learning Engineer specializing in LLMs and NLP classification systems
“Internship experience building a production RAG+LLM pipeline to map messy card transaction descriptions to merchant brands, including a custom modified-ROUGE evaluation approach for weak/variant ground truth. Improved scalability and cost by moving from a managed LLM endpoint (e.g., Bedrock) to self-hosted vLLM, and orchestrated massive embedding backfills (5,000+ files, 10B+ rows) using an Airflow-triggered SQS + ECS worker architecture with robust retry/DLQ handling.”
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and automation