Pre-screened and vetted.
Senior SDET specializing in UI/API automation and performance testing for cloud-native systems
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and regulated healthcare platforms
Senior DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Mid-level Data Engineer specializing in AWS, Snowflake, Databricks, and PySpark
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack/backend engineer who owned end-to-end delivery for DentalScan, an AI-powered healthcare platform, building Kafka-based Node.js microservices plus Next.js clinician dashboards and CI/CD on Vercel. Productionized LLM/voice AI patient communication (Twilio/Retell AI) with prompt templates, guardrails, and monitoring, supporting 1,000+ scans/day at sub-100ms latency and reducing clinic admin workload. Previously modernized an agricultural data platform at Infosys to Spring Boot/Docker microservices with Redis, Jenkins CI/CD, and AWS CloudWatch monitoring.”
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”
Senior QA Automation Engineer specializing in regulated healthcare and medical devices
“QA automation engineer who owned an end-to-end, device-integrated mobile regression suite for Tandem’s insulin-pump-connected mobile app, covering pairing/connectivity/data sync and catching contract mismatches and firmware-related connectivity regressions. Strong in Cypress/JavaScript automation, CI gating in GitHub Actions, and diagnosing production-impacting sync issues using logs and API traces while influencing requirements early to improve testability and UX.”
Senior Full-Stack Developer specializing in React/React Native and SaaS platforms
“Frontend engineer who has led end-to-end delivery of a climate-risk visualization/financial impact web platform using micro-frontends (Webpack Module Federation), a shared MUI design system, and React Query server-state to keep independent modules consistent and performant. Also improved a complex rules-heavy document editor (Crove.app) by eliminating input lag with memoization + Web Workers and introducing a headless rendering engine reused across products, with disciplined rollout via feature flags and Sentry monitoring.”
Mid-level Robotics Software Engineer specializing in embedded Linux and ROS2
“Robotics/embedded platform engineer who led compute provisioning and ROS2 platform development for a smart electrical panel, building a full ROS2 stack that bridges mobile app requests (via AWS IoT/MQTT) to signal-level CAN commands and returns telemetry/logs to the cloud. Demonstrated strong full-stack debugging by resolving flaky CAN traffic down to a custom PCB transceiver standby-pin grounding issue, and improved real-time behavior by refactoring middleware into C++ with timer-scheduled publishes to meet firmware watchdog expectations.”
Executive CTO specializing in SaaS product and engineering leadership
“Engineering/product leader in early-stage environments who has repeatedly driven major pivots and scaling efforts: pandemic-era refactor at NameCoach and multi-community expansion at Nolodex (now ~20 communities). Comfortable going from executive roadmap/stakeholder alignment to hands-on implementation (e.g., webhooks), and has led architecture shifts (monolith-to-distributed, Heroku-to-AWS) while managing outsourced/offshore teams through organizational friction.”
Mid-level Backend Software Engineer specializing in distributed systems and cloud-native microservices
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Mid-level Full-Stack Developer specializing in cloud-native web applications
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation