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Vetted Cloud Infrastructure Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in AI-integrated SaaS and EdTech
Executive Startup Founder & Ecosystem Architect specializing in developer and venture partnerships
Executive AI Strategy & Engineering Leader specializing in Generative AI and cloud platforms
Mid-level DevOps/SRE specializing in AWS cloud infrastructure and Kubernetes
Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and insurance systems
Senior Full-Stack Developer specializing in Python microservices and cloud platforms
Executive Technology Leader (CTO) specializing in E-commerce, SaaS, and AI
Dayne Voller
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.”
Gibran Rodriguez
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.”
thomas caine
Senior DevOps & Linux Systems Engineer specializing in AWS cloud infrastructure
“UNIX operations-focused candidate with hands-on AIX/Solaris troubleshooting and Bash automation experience, including resolving a production connectivity outage caused by a host table IP misconfiguration. Has supported a re-platform migration of a home-grown application by working directly with developers and running parallel testing prior to cutover; no direct IBM Power (VIOS/HMC/LPAR) or NIM/PowerHA experience.”
Engineering Leader & Principal Software Engineer specializing in cloud-native SaaS
Director-level technology leader specializing in FinTech and MarTech platforms
Executive CTO and Engineering Leader specializing in AI/ML, computer vision, and scalable systems
Senior Account Manager specializing in Enterprise SaaS and DevOps customers
Junior Software Engineer specializing in backend microservices and cloud-native systems
Staff AI/ML Engineer specializing in backend platforms and LLM systems
Senior Software Architect specializing in FinTech and blockchain backend systems
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
Kevin Howren
Executive Technology Leader (CTO) specializing in SaaS scale, cloud modernization, and AI
“CTO-level leader who drove a major post-buyout transformation at NPact—modernizing engineering (CI/CD, QA, observability), moving products toward SaaS/cloud, and scaling the org from ~20 to ~70 while maintaining 97% retention. Uses instrumentation and workflow analytics (including Atlassian-derived data) to improve delivery, citing an ~80% reduction in feature/bug churn through better scoping and requirements. Comfortable with board-level ROI decisions and customer/fundraising conversations, translating technical tradeoffs into clear business outcomes.”
Rich Robinson
Executive CTO and VP Engineering leader specializing in SaaS, AI, and cloud platforms
“Repeat founder/CTO with hands-on experience raising capital from friends and family, angels, corporate sources, federal grants, private equity, and venture capital. Built a startup in a software business incubator, later sold the company, and went on to serve as an Engineering Manager at the acquirer inside the Plug and Play accelerator ecosystem.”
Deborah Gaynor
Senior Software Engineer specializing in full-stack backend systems and integrations
“Full-stack engineer with startup experience at sub-100-person companies, owning major product and platform changes across Go, React/TypeScript, Python, Postgres, and SQL Server. Stands out for redesigning a core repository-like workflow component without breaking existing customer data and for shipping operational tooling at Tovala that saved teams 15 hours of manual work per week.”
Thanuja Mudududla
Mid-level Software Engineer specializing in full-stack cloud and agentic AI systems
“Backend engineer with hands-on ownership of production systems across maritime tracking, HR tech, and AI-powered document workflows. They combine strong operational instincts with measurable impact—cutting API latency from 10s to 3s, improving query performance by 60%, reducing deployment time by 50%, and driving 70% infrastructure cost savings with serverless design.”