Pre-screened and vetted.
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms
“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”
Senior Full-Stack Software Engineer specializing in cloud automation and applied AI
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Mid-Level Backend/Payments Engineer specializing in scalable microservices
Senior DevOps/Platform Engineer specializing in Kubernetes and Go backend automation
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Intern Machine Learning & Cloud Engineer specializing in cloud-native deployment and forecasting
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-Level Software Development Engineer specializing in AWS AI inference platforms
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.”
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
“Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.”
Entry Software Engineer specializing in AI infrastructure and ML inference systems