Pre-screened and vetted.
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level Full-Stack Python Developer specializing in LLM/GenAI for Banking & Healthcare
Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Senior QA Analyst specializing in test automation, API testing, and ETL/data validation
Senior Software Quality Assurance Engineer specializing in automation, CI/CD, and release quality
Engineering Leader specializing in FinTech, payments, and enterprise platforms
Executive COO specializing in infrastructure, cloud operations, and post-merger integration
Senior QA Engineer specializing in test automation, API validation, and CI/CD quality
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Director of Information Security and Security Engineer specializing in cloud compliance
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Mid-level SDET/Software Engineer specializing in test automation and CI/CD
“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”
Senior Full-Stack Engineer specializing in scalable web and cloud systems
“JavaScript engineer who built a Michelin-specific headless CMS forms platform based on apostrophe-forms, powering forms across 400+ Michelin websites. Designed an extensible, SOLID-aligned modular field architecture with a shared design system, cutting hundreds of lines of per-project code across 10+ implementations while driving cross-device compatibility and performance (BrowserStack, Lighthouse, SSR).”
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.”
Senior QA Engineer specializing in SaaS payments and legal tech
“QA professional from fintech/SAP security and complex identity systems who has owned end-to-end testing across the SDLC, including being the sole QA on a high-risk payment platform carrier migration. Demonstrated strength in integration testing, data integrity validation, and diagnosing calculation/automation defects using controlled test data and scripted date emulation; experienced with JIRA/TestRail and Selenium-based regression coverage.”
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.”