Pre-screened and vetted.
Mid-level Software Engineer specializing in backend APIs and AWS cloud infrastructure
Junior Full-Stack Software Engineer specializing in React, APIs, and Industrial IoT data platforms
Senior QA Engineer specializing in AR/VR, 3D pipelines, and performance testing
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Mid-level SDET specializing in embedded firmware validation and test automation
Senior Full-Stack Engineer specializing in microservices, data pipelines, and AI in FinTech
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Director-level Software Architect specializing in cloud observability and network monitoring
Senior Software Test Engineer specializing in QA automation and API/E2E testing
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Staff Product Manager specializing in FinTech and enterprise SaaS platforms
Executive Engineering Leader specializing in cloud platforms, DevOps, and security
“Senior engineering/CTO-level leader with hands-on delivery of serverless, event-driven cloud governance platforms (deployed across multiple GE business units) and experience building adaptable usage-based billing at UserTesting. Has advised startups (including CaseText during YC) and supported fundraising and acquisition due diligence, including investor materials for a smart cooler custody management system presented to BARDA during Operation Warp Speed.”
Director-level Engineering Leader specializing in Payments and Financial Services
“Senior Director-level engineering leader from Zelle who built a multi-year cloud and use-case expansion roadmap (e.g., SMB and brokerage funding) aligned to an aggressive growth target (from $1.2T to $5T in 5 years). Experienced scaling an engineering org from ~25–30 people into domain-driven pods and leading audit/compliance remediation (OCC, SOC 2, PCI) through security and infrastructure reengineering, including multi-region/multi-zone architecture.”
Director of Software Engineering specializing in enterprise Data, ML & AI platforms
“Former Walmart Director of Software Engineering who left in March 2025 to build products for clients. Recently delivered an LLM/RAG-based UNSPSC classification solution for an MRO client using a multi-stage retrieval + web search + prompt-engineering workflow, and has led large-scale retail forecasting initiatives and high-severity cloud-migration incidents end-to-end.”
Intern Firmware Validation & Systems Test Engineer specializing in embedded and full-stack tooling
“Safety-critical firmware validation engineer with Tesla autonomous vehicle experience who built Python-based HIL/SIL automation and dashboards, cutting regression time by 30% while maintaining an auditable risk-tradeoff process with safety and engineering teams. Also deployed an inventory management system across 8+ R&D teams in 3 countries at FUJIFILM, troubleshooting a major cross-site sync issue to a timezone root cause with strong documentation and interim mitigations.”
Entry-Level Backend/Cloud Engineer specializing in distributed systems and AI platforms
“Full-stack engineer with deep serverless AWS experience who built VidToNote, an AI video analysis platform, end-to-end using Next.js App Router/TypeScript and an event-driven pipeline (API Gateway, Lambda, DynamoDB, S3, Step Functions, SQS). Strong on production reliability and observability (CloudWatch, X-Ray, structured logging), plus data/analytics work in Postgres with measurable query optimizations and durable LLM evaluation workflows. Amazon background; integrated 22 AWS services and completed AWS Solutions Architect Professional certification within a month.”
Mid-level Backend & Reliability Engineer specializing in AWS, Kubernetes, and automation
“Meta engineer focused on reliability/operations tooling who built a unified real-time health dashboard and scalable telemetry pipelines (AWS + Datadog) for thousands of devices. Also shipped an internal LLM-powered knowledge assistant using RAG over wikis/runbooks/logs with strong guardrails and a rigorous eval loop that drove measurable accuracy improvements via automated doc ingestion and embedding updates.”
Director-level Engineering Manager specializing in large-scale data and compute platforms
“Platform and distributed-systems leader (player-coach) who owned architecture and reliability for an Amazon analytics/data platform serving ~100K internal users at exabyte scale. Built an ML-driven “Lakeflow” optimization layer that cut pipeline completion times ~20–25% and reduced compute waste >15%, and led major incident response/redesign efforts (e.g., deletion storm) with strong rollout/observability/rollback practices.”