Pre-screened and vetted.
Senior Site Reliability Engineer specializing in multi-cloud DevOps and Kubernetes
Junior Software Engineer specializing in AI/ML and full-stack development
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in Python, cloud platforms, and scalable web applications
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Senior Software Engineer specializing in Java microservices and FinTech payments
Mid-level Backend Software Engineer specializing in Python microservices and cloud-native APIs
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Senior Full-Stack Engineer specializing in React, Java/Spring Boot, and Python microservices
Senior AI Python Engineer specializing in Generative AI and MLOps
Mid-level Full-Stack Developer specializing in microservices and event-driven systems
“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”
Mid-level Python Developer specializing in APIs, data engineering, and cloud-native systems
“Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.”
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”
Mid-level DevOps Engineer and CS researcher specializing in cloud automation and ML/quantum tooling
“Research-focused software engineer who builds performance-critical Python/C++ systems emphasizing correctness, state-transition precision, and distributed coordination. Created an automated simulation-based testing/validation framework for quantum programs that caught subtle logic/type errors early, reduced debugging time, and improved developer confidence through strong observability and scalable test generation.”