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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Senior Cloud/DevOps Engineer specializing in Kubernetes, IaC, and multi-cloud platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Intern Software Engineer specializing in data engineering and LLM evaluation
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Shiva Arcot
Director of Security & Data Platform Engineering specializing in AI-driven cloud security
“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Staff Software Engineer specializing in commerce, checkout, and payments platforms