WinIT
Cloud · DevOps · AI adoption

Your next step
in cloud and AI.

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.

8+years in technology
AWS / Azuremulti-cloud engineering
End-to-endfrom design to handover
01 / How I can help

Less friction.
More forward motion.

AWS, Azure, or both. Cloud and platform engineering shaped around your workloads, security requirements, and the people who run them.

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.

AWSAzureTerraform

Developer platforms & delivery

Make the path from commit to production easier to use and maintain. CI/CD consolidation, scalable runners, and reusable platform components.

KubernetesGitHub ActionsGitLab

Reliability & visibility

Understand how your services behave. Meaningful SLOs, observability, incident analysis, and cost optimisation across your cloud environments.

DatadogSLOsFinOps
02 / AI that earns its place

Bring AI into
your everyday work.

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.

01

AI adoption consulting

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.

02

AI training for teams

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.

03

Custom agents & integrations

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.

AI in my everyday work

Years of practice.
Experience to share.

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 company
03 / Selected experience

Built for real
engineering teams.

Selected projects from my engineering work, including cloud infrastructure, developer platforms, and delivery automation.

01
Developer tooling · SonarSource

CI infrastructure that scales with demand

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.

GitHub ActionsAWSTerraformPythonKubernetes
02
LSEG · via ClearScale

A shared path from code to production

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.

GitLabPythonAWSBitbucketGitHub
03
Virginia Transformer · via ClearScale

500+ workspaces. A repeatable foundation.

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.

AWSTerraformGitHub ActionsAWS WorkSpacesHybrid infrastructure
04
IT management software · Axence

AWS infrastructure for a new website and services

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.

AWSGitLabDocker
04 / The person behind the platform

An engineer.
Your collaborator.

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

Core toolkit
AWSAzureKubernetesTerraformPythonGitHub ActionsGitLabDockerHashiCorp VaultDatadogAI / MCP
Experience
SonarSourceSenior Platform Engineer
ClearScaleSenior DevOps Engineer
NordcloudDevOps Engineer
AxenceTechnical Support / IT Administration
05 / Start a conversation

What are you
building next?

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.

Cloud infrastructure · AI adoption · Team training