Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Senior DevOps & Cloud Infrastructure Engineering Manager specializing in multi-cloud operations
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Full-Stack Engineer specializing in cloud DevOps and LLM applications
Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior QA Engineer specializing in test automation, API testing, and performance testing
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Staff-level Robotics & Computer Vision Software Engineer specializing in real-time GPU/ROS systems
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Full-Stack Developer specializing in AWS, Python/FastAPI, and React
Senior SDET specializing in UI/API automation and cloud-native quality engineering
Mid-level Data Engineer specializing in cloud-native ETL and data warehousing
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Senior Technical Support Engineer specializing in cloud and container security
Senior AIX/Unix Infrastructure Engineer specializing in IBM Power and enterprise migrations
“AIX/Solaris and IBM Power specialist who has led real-time performance recoveries for core banking/ERP workloads—diagnosing CPU/IO contention down to FC queue depth and LPAR sizing, restoring latency from 5s to 200ms. Experienced with POWER7/8/9 operations across HMC/VIOS/NPIV and live DLPAR resizing, plus legacy Solaris SPARC to RHEL x86 hybrid re-platform migrations with post-cutover Oracle performance considerations.”
Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems
“SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.”
Mid-level DevOps Engineer specializing in cloud automation and Kubernetes platforms
“Robotics/ML engineer who has built SO(3)-equivariant models for robotic manipulation, including custom equivariant layers and differentiable point-cloud rasterization/derasterization workflows. Also brings 2 years of DevOps experience in banking systems, automating CI/CD and infrastructure at scale (managed 180 OCI servers; reduced rebuild downtime by 80%).”
Mid-Level Software Engineer specializing in full-stack web and cloud systems
“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”
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).”