Pre-screened and vetted.
Junior Software Engineer specializing in distributed systems and streaming platforms
Senior Backend Engineer specializing in Python and cloud data platforms
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
Senior Software Engineer specializing in backend systems and AI platforms
“Engineer with experience at Reddit working on high-scale backend and infrastructure problems, including API redesign for products serving 150M+ daily active users. They also built a production AI agent for automated bug triage with 97% accuracy and substantial time savings, and have hands-on full-stack/AI side-project experience using React, TypeScript, Supabase, and LLMs.”
Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms
“Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.”
Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems
“Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.”
Executive Engineering Leader specializing in cloud-native platforms and global team scaling
“Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.”
Senior Full-Stack Engineer specializing in cloud-native microservices and React
“Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).”
Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and cloud automation
“Built and owned end-to-end deployment and AI support workflows spanning CI/CD, Kubernetes, Terraform, and LLM/RAG systems. Stands out for combining DevOps delivery with production AI operations, including secure tool-calling, incident debugging, retrieval quality controls, and validation-first document ingestion for messy real-world inputs.”
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration
Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services
Senior Backend Engineer specializing in cloud-native fulfillment systems
Senior Backend Software Engineer specializing in AWS-native Python systems
Junior Software Engineer specializing in backend systems and distributed infrastructure
Senior Full-Stack Engineer specializing in Python, React, and AI-powered cloud applications