Pre-screened and vetted.
Engineering Manager specializing in databases and distributed systems
“Aspiring founder exploring an AI automation startup focused on automating processes involved in building companies. Not yet developed specific use cases or raised capital, but describes a clear plan to validate ideas through use-case research, building a pilot, and testing with early customers; not familiar with the VC/accelerator landscape yet.”
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 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.”
Director-level Data Architecture & Governance leader specializing in cloud analytics platforms
“Technology/architecture leader with Accenture experience delivering data- and AI/ML-driven products, including a legal contract search solution and customer sales analytics for AWS. Known for scaling distributed teams (onshore/offshore), making pragmatic architecture decisions, and solving hard data problems (proprietary sources, data quality) while implementing scalable integrations like Redshift-to-Salesforce via parallelized pipelines.”
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.”
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Intern Software Engineer specializing in databases and LLM-powered developer tools
Senior Software Engineer specializing in full-stack web platforms and cloud-native backend systems
Director-level AI/ML Technology Leader specializing in healthcare and life sciences
Executive Engineering Leader (VP/CTO) specializing in cloud-native platforms and AI/ML
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Software Engineer specializing in AI/ML tooling and data platforms
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Full-Stack Developer specializing in real-time, cloud-native web and mobile apps
Mid-Level Software Engineer specializing in backend, cloud, and CI/CD automation
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Intern Software Engineer specializing in full-stack and cloud infrastructure
Junior Software Engineer specializing in full-stack web and data platforms
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps