Pre-screened and vetted in the Atlanta Metro.
Junior Software Engineer specializing in full-stack SaaS and AI/ML systems
Senior Backend Engineer specializing in telemetry, APIs, and cloud-native systems
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and data streaming
“Software engineer with payments-domain experience (Visa) building real-time transaction monitoring and analytics systems. Strong end-to-end ownership across Spring Boot/Kafka microservices, PostgreSQL modeling, and AWS/Kubernetes operations, plus React+TypeScript dashboards—focused on low-latency processing, secure APIs, and zero-downtime production releases.”
Mid-Level Full-Stack Software Engineer specializing in FinTech and Healthcare SaaS
“Customer-facing technical professional with experience supporting LLM/agentic-style workflows and complex integrated systems (APIs, backend logic, databases). Partnered with sales/customer teams at Radix Health to onboard new clients in phased prototypes, translating non-technical requirements into technical scope and implementing core product changes to tailor the appointment-booking solution for providers.”
Mid-level Software Engineer specializing in full-stack .NET microservices
Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices
Intern Software Engineer specializing in cloud, backend APIs, and LLM evaluation
Mid-level Software Engineer specializing in LLM applications and developer tooling
Senior Machine Learning Engineer specializing in Generative AI and LLM applications
Senior Backend Software Engineer specializing in cloud-native microservices for healthcare
Mid-Level Software Engineer specializing in backend microservices and FinTech
Director of Software Engineering specializing in supply chain platforms
Senior Python Backend Engineer specializing in microservices, cloud, and healthcare/telecom platforms
Mid-level Full-Stack Software Engineer specializing in AI automation and FinTech
Junior Data Scientist specializing in ML, LLMs, and RAG applications
“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”
Mid-level Software Engineer specializing in full-stack cloud applications
“Backend-leaning full-stack engineer who has shipped both enterprise workflow software and AI-powered document intelligence products. Stands out for combining practical product judgment with strong production debugging skills across Spring Boot, GraphQL, FastAPI, vector search, and RAG systems, and for improving adoption by making AI search experiences intuitive for non-technical users.”
Senior DevOps / Site Reliability Engineer specializing in cloud infrastructure
“GCP-focused database/platform engineer with hands-on production experience operating Cloud SQL at scale, especially around performance tuning, reliability, and day-2 operations. Has supported migration from a single-instance database setup to a more scalable GCP architecture and built Terraform/Python automation for provisioning and recovery workflows.”