Pre-screened and vetted in the NYC Metro.
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Mid-level Python Developer specializing in AWS microservices and cloud automation
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”
Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI
“Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).”
Senior Software Engineer specializing in AI/ML, cloud microservices, and full-stack web apps
Senior Full-Stack Engineer specializing in Python APIs and AI/ML integration
Senior Full-Stack Python Developer specializing in Flask/Angular and cloud microservices
Senior Python Full-Stack Developer specializing in cloud, MLOps, and GenAI
Mid-level Data Scientist specializing in AI/ML and Generative AI
Senior Full-Stack Engineer specializing in Python, cloud-native APIs, and microservices
Mid-level Full-Stack Python Developer specializing in web APIs
Senior Backend Developer specializing in Python and AWS cloud-native systems
“Backend/data engineer with production experience building Python FastAPI services and AWS-native data pipelines. Has delivered containerized and serverless workloads (ECS/EKS/Lambda) with Terraform-based IaC, strong reliability patterns (JWT/RBAC, retries/circuit breakers, observability), and AWS Glue ETL into S3/Redshift. Demonstrated measurable SQL performance wins (40–50s to <4s) and owned real pipeline incidents through detection, mitigation, and prevention.”
Mid-level Python Backend Engineer specializing in compliance and healthcare billing automation