I have over 13 years of experience architecting and implementing scalable Cloud and AI systems for a wide range of companies, from early-stage startups to large, complex organizations preparing for acquisition or IPO.
I specialize in designing, building, and improving complex end-to-end systems for teams hitting scaling or operational bottlenecks, including custom, code-based automations that eliminate manual workflows across engineering and operations, as well as architecting and operating cloud infrastructure from the ground up. My work helps teams ship faster, reduce operational overhead, control cloud costs, and build systems that are reliable enough to support rapid growth, acquisitions, and public markets.
In one of my recent projects, I helped Slice Intelligence (later acquired by Rakuten) re-architect a large monolithic platform into a Kubernetes-based microservices environment while building the automated systems, processes, and deployment workflows that took deployment cycles from a few weeks to a few hours. The infrastructure I built and its underlying automations were evaluated and cited as a strategic asset during the 8-figure acquisition process.
Additionally, I’ve also helped:
Rakuten Advertising expand into new international markets by designing a multi-cloud platform that reduced regional deployment timelines from months to weeks and enabled 132% revenue growth.
NielsenIQ prepare for public markets by consolidating and automating a fragmented cloud environment, reducing annual cloud spend by 25% and demonstrating the operational discipline required for a successful IPO.
Enigma Networkz expand their addressable market by building a multi-cloud deployment strategy that unlocked enterprise deals and supported a 7-figure Series A raise.
And many other companies scale and achieve their goals.
On the technical side, I design and build production-grade systems across AWS and GCP, working with Kubernetes (EKS and GKE), microservices architectures, CI/CD pipelines, infrastructure as code, observability, security, and reliability engineering. I routinely lead cloud migrations, modernize legacy systems, and architect platforms that can scale cleanly as a company grows. In many cases, I step in as a senior engineer or architecture owner, working closely with founders, CTOs, and engineering teams to make long-term technical decisions and execute them correctly.
Alex R. earns an estimated $7.2k/mo. That's 5× the typical freelancer and more than 99.75% of everyone we track.
Alongside cloud and DevOps work, I can also build fully custom, code-based automations that remove manual work and operational bottlenecks across engineering and operations. This includes deployment and infrastructure automation, internal tooling, system integrations, scheduled workflows, and production-ready AI systems built on LLMs, machine learning, and AI agents, such as RAG-based knowledge assistants and chatbots that integrate directly with existing data and products. These systems often support AI-assisted workflows that retrieve information, coordinate actions across services, and streamline day-to-day operations, and are designed to be reliable at scale and observable in production.
Thanks for taking the time to read this. If you’re looking for someone highly technical with extensive experience building custom automations, designing scalable systems, and architecting reliable cloud infrastructure, feel free to send me a message here on Upwork.
Looking forward to connecting with you!