Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud lakehouse/warehouse pipelines
“Data engineer with HCA Healthcare experience building and operating end-to-end AWS-based pipelines for clinical and operational reporting (50–100 GB/day), serving curated data into Redshift/Snowflake for Power BI/Tableau. Emphasizes production reliability (Airflow SLAs/retries/alerting, logging/observability) and strong data quality controls (reconciliations, schema/null/duplicate checks), and has shipped versioned REST APIs to expose warehouse data to downstream systems.”
Senior Data Engineer specializing in cloud data platforms and real-time analytics
“Data engineer (Credit One) who built and owned real-time financial transaction and credit risk/fraud data systems end-to-end on AWS + Snowflake. Delivered high-scale pipelines (150k events/hour; ~2TB/week), raised data accuracy to 99%, and cut Snowflake costs 42% while adding strong observability, schema-drift handling, and production-grade APIs/documentation.”
Senior AI/ML Engineer specializing in LLMs, MLOps, and predictive analytics
“ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.”
Junior Software Engineer specializing in AWS backend and Generative AI
“Engineer focused on AI-assisted software development and enterprise legacy modernization, with hands-on experience designing multi-agent workflows for code analysis, business logic extraction, BRD generation, and validation. Stands out for combining prompt design and agent orchestration with strong engineering discipline, including testing, CI/CD, and human review checkpoints.”
Principal Cloud Solutions Architect specializing in AWS, Azure, and MuleSoft
“Cloud and integration architect with experience spanning healthcare, travel, and digital health, including MuleSoft API work for Medical Mutual of Ohio, multi-cloud architecture assessments for Arrivia, and Terraform-based AWS platform engineering at Headspace. Stands out for combining customer-facing solutioning with deep hands-on expertise in regulated environments, especially HIPAA/HITRUST and enterprise cloud architecture.”
“Data and backend-focused engineer with hands-on experience spanning GenAI applications, production telemetry systems, and large-scale ETL pipelines. They combine modern AI stack work (React, FastAPI, LangChain, ChromaDB) with measurable production impact, including 90% lower DB insertion latency, 50% higher ETL throughput, and 99.9% data quality in distributed environments.”
Principal Software Architect specializing in enterprise platforms across FinTech, healthcare, and biotech
“Senior full-stack product engineer with a track record of turning complex enterprise requirements into scalable platforms, including inventing a configurable multi-variable bidding system that expanded a B2B auction product from inventory liquidation into strategic sourcing for Fortune 100 clients. Also brings recent hands-on AI agent work, plus experience translating scientific software into usable web products and more efficient backend services in the gene-editing domain.”
Senior Full-Stack Engineer specializing in cloud-native FinTech and AI systems
“DevOps-focused engineer with 8 years of hands-on experience in early-stage startup environments, working on small teams to modernize CI/CD and Kubernetes deployments. They report reducing release times from hours to minutes, improving reliability and production recovery, and building backend APIs and automation for an internal SaaS platform shaped by security, scale, and compliance requirements.”
Executive engineering leader specializing in consumer AI, media platforms, and content workflows
“Engineering leader who grew from Lead Developer to CTO at Clips4Sale, scaling the org to around 30 people while restructuring engineering around revenue-driving initiatives like search, payments, reliability, and creator tools. Also built AI-powered event discovery and chatbot systems at FOSH using Claude, combining human feedback, prompt evaluation, and product simplification to improve output quality and user experience.”
Senior Full-Stack Java Engineer specializing in cloud-native healthcare platforms
Mid-level Data Engineer specializing in cloud data pipelines and healthcare analytics
Mid-Level Software Developer specializing in AI chatbots, data platforms, and cloud systems
Mid-level AI Engineer specializing in LLM systems and enterprise data platforms
Entry-Level Machine Learning & GenAI Engineer specializing in RAG and LLM evaluation
Mid-level Backend Software Engineer specializing in distributed data pipelines and event-driven systems
Mid-level Data Engineer specializing in cloud data pipelines and financial/billing analytics
Executive Technology Leader specializing in AI-native SaaS and enterprise platforms
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
Mid-level Salesforce Developer specializing in multi-cloud CRM and enterprise integrations
Staff Full-Stack Software Engineer specializing in AI/ML and Cloud
Senior Full-Stack Software Developer specializing in Python microservices
Junior Backend Engineer specializing in distributed systems and SaaS infrastructure