AWS, Azure & multi-cloud
Build and evolve cloud infrastructure with Terraform, Kubernetes, and clear networking and access policies. Assess migrations and connect environments where there is a practical need.
I’m Mikołaj Matuszny. I help companies build on AWS and Azure, automate everyday work, and adopt AI through practical advice, team training, and tailored solutions.
AWS, Azure, or both. Cloud and platform engineering shaped around your workloads, security requirements, and the people who run them.
Build and evolve cloud infrastructure with Terraform, Kubernetes, and clear networking and access policies. Assess migrations and connect environments where there is a practical need.
Make the path from commit to production easier to use and maintain. CI/CD consolidation, scalable runners, and reusable platform components.
Understand how your services behave. Meaningful SLOs, observability, incident analysis, and cost optimisation across your cloud environments.
Find a useful starting point for AI in your company. I help you choose tools, prepare your team, and try a focused use case before a wider rollout.
We review your team’s daily work and identify where AI could help. Together, we choose tools, agree on how company data can be used, and test a focused use case on a small scale.
A shortlist of use cases, a first implementation plan, and a way to measure the results.
Practical workshops tailored to participants’ work and experience, from everyday AI assistants to developer tools. Learn to describe tasks clearly, check the outputs, and handle company data responsibly.
Your team practises its own tasks and learns how to use AI in everyday work.
Connect AI to the tools your team already uses through MCP and APIs. Build developer-assistance and triage workflows with scoped access, human approval for consequential actions, and repeatable evaluations.
A focused prototype, evaluation cases, and a clear handover.
I’ve used AI every day for the past few years. I work with coding assistants, build custom agents and integrations, and develop ways to make AI useful in technical work. That hands-on practice informs how I help companies choose tools and introduce them to their teams.
My work includes agents for developer assistance and triage, MCP configurations, Claude Code plugins, and a shared AI knowledge base at SonarSource. I bring both everyday tool use and experience building the integrations behind it.
Discuss AI for your companySelected projects from my engineering work, including cloud infrastructure, developer platforms, and delivery automation.
Architected self-hosted GitHub Actions infrastructure on AWS EKS, using Actions Runner Controller and Karpenter for dynamic autoscaling. Standardised reusable Terraform modules across platform services.
Consolidated fragmented CI/CD platforms into GitLab for a global financial institution supporting thousands of developers. Built migration tooling and supported teams adopting the new workflows.
Designed AWS WorkSpaces infrastructure for over 500 users with Terraform and GitHub Actions. Automated golden image management, reducing patch and software update deployment from days to minutes.
Designed and deployed an AWS environment using Amazon ECS for Axence, a provider of IT management and security software. The infrastructure enabled the launch of the new axence.net website and supporting services for a growing customer base.
I’m Mikołaj, a DevOps and platform engineer focused on AWS, Azure, and AI-assisted engineering. My experience spans cloud consulting, financial services, and developer tooling. I enjoy turning complicated infrastructure into systems people can confidently build on.
I work across architecture and implementation, share the reasoning behind decisions, and help teams maintain what we build together. Outside of technology, you’ll usually find me cycling or skiing.
Mikołaj Matuszny
Tell me what your company does and what you want to improve: cloud infrastructure, automation, or your first steps with AI. We can work out how I can help.
matusznymikolaj@gmail.comCloud infrastructure · AI adoption · Team training