Pre-screened and vetted.
Executive Cloud Infrastructure & SRE Leader specializing in AI-driven reliability and security
“Engineering/technology leader with IBM Cloud experience leading large-scale infrastructure modernization from classic architecture to a standardized VPC/next-generation DC platform. Reports major outcomes including cutting region launch time from ~18 months to ~3 months and reducing operating costs by ~80% via automation, modular undercloud services, and platform standardization, while scaling a globally distributed org with clear service ownership and accountability.”
Senior Machine Learning Engineer specializing in production ML and predictive analytics
“ML/AI engineering leader who has owned end-to-end production systems from experimentation through deployment, monitoring, and iteration at meaningful scale. They describe running a 1M+ records/day prediction platform with 99.9% availability, shipping a RAG-based conversational AI feature for 50,000 active users, and consistently improving precision, latency, reliability, and cost with measurable business impact.”
Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure
“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”
Staff Product Manager specializing in AI strategy and data-driven enterprise platforms
“Chief of Staff to the COO of firmwide engineering at Goldman Sachs, serving as lead strategist for a COO/CIO-sponsored program to drive operational excellence and scalability via AI/automation. Ran discovery across divisions, built governance/OKR systems, negotiated budget commitments with divisional leaders, and coordinated firmwide CFO alignment while preparing Board-level materials for executives.”
Director-level Data Platform & Analytics Engineering Leader specializing in distributed systems
“Entrepreneurially minded builder focused on proving architecture concepts via minimal demo prototypes for marketing. Has hands-on experience improving an A/B experimentation framework by interviewing stakeholders, identifying system limits and bottlenecks, and defining success criteria to scale experimentation and speed up analysis.”
Mid-Level Backend/Payments Engineer specializing in scalable microservices
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Senior Software Engineer specializing in AI/ML and cloud infrastructure
Senior Software Engineer specializing in ML integrity and large-scale data pipelines
Executive CTO and Product Engineering Leader specializing in cybersecurity, data platforms, and AI
Entry-level Software Engineer specializing in cloud, analytics, and FinTech systems
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Executive Engineering Leader (VP/CTO) specializing in cloud-native platforms and AI/ML
Mid-level Security Engineer specializing in application security, IAM, and AI red teaming
Senior Software Engineer specializing in agentic AI and scalable backend systems
Senior Software Engineer specializing in distributed systems and data infrastructure
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Junior Research Engineer specializing in robotics, computer vision, and machine learning
Senior Full-Stack Engineer specializing in FinTech, Healthcare, and Crypto
Junior AI/ML Engineer specializing in LLM agents, RAG, and multimodal data pipelines