Pre-screened and vetted.
Senior DevSecOps Engineer specializing in secure cloud CI/CD and compliance
Director-level Enterprise Architect specializing in cloud, AI, and digital transformation
Mid-level Site Reliability/DevOps Engineer specializing in GCP and Kubernetes
Senior DevOps/SRE Engineer specializing in multi-cloud Kubernetes and DevSecOps
Mid-level AI Software Engineer specializing in LLMs, NLP, and MLOps for healthcare
Executive technology leader and Fractional CTO specializing in software architecture and AI automation
Executive technology leader specializing in crypto, iGaming, and platform engineering
Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems
Mid-level AI Engineer specializing in agentic AI, LLM systems, and healthcare AI
“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”
Executive technology leader specializing in AI, SaaS, and engineering operations
“Group CTO at Airobod who combines executive-level engineering leadership with hands-on technical depth across architecture, cloud, performance debugging, and AI-enabled platforms. He has led platform modernization, scaled engineering organizations in high-growth environments, and implemented rigorous multi-tenant SaaS architecture with zero cross-tenant data leaks over 12 months.”
Director-level Engineering Leader specializing in cloud, AI, and healthcare platforms
“Senior engineering leader with a rare mix of org-scaling and deep hands-on technical execution across cloud platforms, AI/RAG systems, IoT, mobile, and operational software. Has led zero-downtime migrations, improved deployment velocity by 50%+, and built DataFabriks from an internal warehouse AI platform into a multi-tenant commercial SaaS product across healthcare and industrial environments.”
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Senior DevSecOps Engineer specializing in cloud security and CI/CD automation
Senior Tech Lead and Software Developer specializing in games and scalable platforms
Junior Software Engineer specializing in FinTech and full-stack development
Senior Azure DevOps / SRE Engineer specializing in cloud infrastructure automation
Executive infrastructure and security leader specializing in multi-cloud enterprise architecture
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Senior Software Engineer specializing in distributed systems and AI platforms
“Senior engineer transitioning into a lead engineer role who is actively overseeing 5 developers and championing an AI-first development culture. Stands out for a highly structured approach to AI-assisted software delivery, including context engineering, phased planning, multi-agent orchestration, and deliberate hallucination mitigation rather than 'vibe coding.'”
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Executive CTO specializing in cloud-native SaaS, multi-cloud infrastructure, and AI/ML
“Hands-on infrastructure and engineering leader (Director of Global Infrastructure / CTO) who has run double-digit multi-million dollar data center expansion and cloud migration programs and scaled teams rapidly (including offshore/nearshore). Strong AWS and microservices background (Lambda/SQS/SES), with experience balancing deep technical architecture work alongside investor/VC communications and fundraising-related responsibilities.”
Mid-level Software Engineer specializing in cloud and FinTech systems
“Backend/AI engineer who has built and operated production Node.js/Express services on AWS (Postgres/Redis) and has hands-on experience shipping an AI-powered support agent using RAG (Pinecone + LLM) with grounding checks and evaluation for hallucination rate. Demonstrates strong production reliability/performance debugging, including reducing peak latency from ~2s back to sub-300ms through query and caching optimizations, plus designing agent workflows with retries and human-in-the-loop escalation.”