Pre-screened and vetted.
Entry-Level Software Engineer specializing in systems, networking, and ML
“Robotics software candidate with hands-on experience building controllers for an Autonomous Underwater Vehicle, including dual-PID control in Python with state-space modeling and a planned path to LQR. Developed ROS nodes for odometry-based localization, waypoint planning, and control command publishing, validated through a custom Gazebo/ROS simulation workflow with control-metric-driven testing. Also worked on F1Tenth simulation and scan-matching localization (PL-ICP), with additional cloud deployment experience using Docker/Kubernetes and CI/CD.”
Director-level CIO & enterprise transformation leader specializing in CRM/ERP/cloud modernization
“Technologist drawn to venture studio/zero-to-one environments, motivated by owning technical architecture and building scalable systems from day one. Interested in rapidly shipping MVPs, iterating toward product-market fit, and validating ideas through real user feedback rather than pursuing entrepreneurship for its own sake.”
“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
“Backend/AI engineer who built a production GPU-backed real-time inference API at Nvidia and debugged burst-induced tail latency, cutting P95 by ~29% through dynamic batching and backpressure. Also shipped an end-to-end RAG + agentic operational diagnostics assistant with strict tool controls, evidence citation, confidence gating, and strong production guardrails, plus demonstrated hands-on Postgres optimization (900ms to 40–60ms).”
Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms
“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Director-level Software Engineering Manager specializing in cloud platforms and consumer products
Director-level Engineering Manager specializing in full-stack consumer streaming experiences
Director-level Software Development Manager specializing in distributed systems and cloud platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-level Software Engineer specializing in backend distributed systems
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Senior Full-Stack Engineer specializing in real-time, cloud, and data-driven systems
Senior Backend/Platform Engineer specializing in Python, Kubernetes, and data streaming
Senior Engineering Manager specializing in voice analytics, data platforms, and public APIs
Mid-level Technical Game Designer specializing in gameplay systems and dynamic content
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Executive Design & Innovation Leader specializing in product, strategy, and sustainable systems
“Product/system designer focused on ultra-clean, modular, customizable work/organization environments (e.g., making stations for studios and fabrication spaces). Emphasizes rules-based interaction models, restrained structural visual language, and hands-on field research/prototyping to embed industrial constraints (tolerances, load paths, safety) into intuitive, training-free user experiences.”