Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in FinTech microservices
Mid-level Full-Stack Python Developer specializing in cloud-native APIs and React
Senior Full-Stack Python Engineer specializing in cloud-native data platforms
Senior Backend Engineer specializing in Python microservices, Kubernetes, and streaming systems
Senior Full-Stack Engineer specializing in cloud-native microservices, data engineering, and GenAI
Senior Full-Stack Python/AI Engineer specializing in RAG and cloud microservices
Mid-level Software Engineer specializing in Python backend systems and APIs
Mid-level Full-Stack Engineer specializing in AI-powered FinTech and Healthcare IT
Senior Backend Engineer specializing in Python microservices and cloud platforms
Mid-level Software Engineer specializing in backend systems and cloud platforms
Senior Full-Stack Engineer specializing in AI-driven SaaS platforms
Mid-level Full-Stack Software Engineer specializing in healthcare and AI applications
Senior Backend Engineer specializing in scalable cloud and compliance systems
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”
Junior Full-Stack Software Engineer specializing in cloud-native distributed systems
“Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.”
Mid-Level Python Full-Stack Engineer specializing in Financial Services
“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”
Mid-level Backend Software Engineer specializing in Python microservices and cloud-native APIs
Mid-level Full-Stack Software Engineer specializing in GenAI and SaaS platforms
Senior Full-Stack Software Engineer specializing in AI-driven SaaS and cloud platforms
“Backend/data engineer focused on production-grade Python services and AWS platforms: builds FastAPI microservices on EKS with strong reliability patterns, CI/CD, and observability. Also delivers AWS Glue/Redshift analytics pipelines with schema-evolution and data-quality safeguards, and has modernized legacy batch processing into maintainable services with parallel-run parity validation and feature-flagged rollouts.”
Mid-level Full-Stack Developer specializing in healthcare cloud applications
“Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.”