Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems
Senior Customer Success & Program Management leader specializing in enterprise SaaS and working capital
Engineering Leader specializing in cloud-native SaaS and distributed systems
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Staff Software Engineer specializing in Unity mobile game development
Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms
Executive product leader specializing in education, edtech, and global consumer innovation
Senior Business Operations leader specializing in engineering workforce strategy
Senior Game QA Analyst specializing in Unreal Engine testing and release engineering
Intern Robotics Engineer specializing in robotics testing, controls, and automation
“Robotics engineering intern and mechanical engineering master’s student who bridges hardware testing and ML/ROS2 software: built a PyTorch model to map motor test data across motor types using electrical specs (Kv/Kt/R/L) and validated it against new motors to meet strict torque/thermal accuracy targets. Also integrated CNN-based perception into ROS2 for real-time navigation and implemented MPC with time-synchronized multi-topic messaging to avoid stale-data control issues.”
Director-level Business Operations & GTM Strategy leader specializing in analytics and performance
“ZS consultant/product owner who repeatedly turns vague GTM performance goals into decision-centric analytics products and operating rhythms. Has scaled analytics initiatives from pilots into $1M+ platforms with 100+ leader adoption, and tied measurement tools to material business outcomes (e.g., $10M+ incremental revenue impact) through change management and cross-functional alignment.”
Senior Unity/XR Engineering Manager specializing in real-time interactive and multiplayer experiences
“Unity Technologies engineer with direct Meta subcontract experience shipping Quest titles (Horizon Worlds projects like Super Rumble) and supporting third-party studios. Strong in VR performance optimization and modernization work—porting legacy OVR/older-Unity projects to OpenXR, URP, and hand-tracking inputs. Built a master’s dissertation cross-platform multiplayer FPS spanning Quest VR, PC, and mobile AR using Photon.”
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.”
Senior Technical Product Manager specializing in cloud database platforms on Azure
“Has hands-on familiarity with successful F2P mobile fighting games (e.g., Marvel Contest of Champions) and can articulate key retention/monetization systems like streak-based daily logins, gacha rewards, and limited-time events. While not having shipped a game directly, they have shipped web/mobile products integrated into gaming ecosystems and think in terms of live-ops health metrics and A/B testing for IAP offers.”
Senior Product Designer specializing in research-driven e-commerce and platform UX
“Product/UX designer with end-to-end ownership of Dell’s “Parts for Your Dell” multi-device shopping experience, using 30+ usability tests and A/B testing to drive a 28% conversion lift and 40% satisfaction increase. Experienced translating complex hardware compatibility logic into guided flows, building cross-viewport design systems, and collaborating closely with engineers on edge cases and component implementation; also prototyped gamified micro-interactions at upGrad and completed a GenZ-focused fintech capstone with PNC.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Mid-Level Gameplay Software Engineer specializing in Unreal Engine, Unity, and AR/VR
“Unity/C# gameplay engineer who has shipped both core systems and live multiplayer features, including a modular real-time inventory system that cut crashes by 80% and improved retention. Built an LLM-driven NPC dialogue pipeline with caching, fallbacks, batching, and fine-tuned models, iterating via player feedback and analytics. Shipped a Photon Fusion multiplayer metaverse with rigorous network simulation and CI stress testing, and has VR optimization experience (Meta Quest constraints) on Horizon Worlds.”
Mid-level Software Engineer specializing in full-stack and backend systems
“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”