Pre-screened and vetted.
Intern Full-Stack Software Engineer specializing in web apps and cloud-native systems
“Backend engineer who scaled a food delivery platform by migrating from a single-service architecture to Spring Cloud microservices with an API gateway and Kafka-based event-driven order pipeline. Reported outcomes include ~50% latency reduction, stable ~2K RPS throughput, and 99.8% uptime, with strong emphasis on safe migrations (dual writes, canaries, schema versioning) and security (JWT/RBAC/Postgres RLS).”
Senior Backend Engineer specializing in Python and AWS serverless systems
“Backend/data engineer with Amazon supply-chain experience building production serverless Python services and ETL pipelines on AWS (Lambda, API Gateway, S3, RDS, Glue). Has modernized legacy SAS jobs into Python with rigorous parity testing and phased migrations, and has delivered major SQL performance gains (minutes down to seconds) through indexing and partitioning.”
Mid-level Backend & ML Engineer specializing in LLM systems and scalable AI pipelines
“Built and shipped a real-time AI phone agent for small businesses that handles bookings/FAQs/messages using streaming ASR, an LLM with tool-calling, and TTS; deployed to production for multiple paying customers. Demonstrates strong applied LLM reliability practices (tool-first grounding, retrieval, hard-negative testing, and production monitoring) and experience orchestrating multi-step AI workflows with Airflow, Prefect, and AWS Step Functions.”
Senior Software Engineer specializing in distributed systems and streaming platforms
Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Mid-level Full-Stack Developer specializing in cloud-native microservices
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.”
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms
“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Junior Software Development Engineer specializing in AWS cloud services and SDN