Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Software Engineer specializing in AI/ML tooling and data platforms
Senior Full-Stack Developer specializing in real-time, cloud-native web and mobile apps
Senior Backend/Platform Engineer specializing in Python, Kubernetes, and data streaming
Senior Full-Stack Engineer specializing in payments and commerce platforms
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in full-stack web/mobile apps and cloud-native systems
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Senior Full-Stack Engineer specializing in cloud-native platforms and distributed systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Senior Full-Stack Engineer specializing in scalable web platforms and AI-driven products
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Senior Python Developer specializing in AI/ML and cloud-native microservices
Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms