Professional IT services covering DevOps, Product Management, and leading complex technology changes in organisations where delivery speed, platform reliability, and team autonomy all matter.
End-to-end IT services for organisations that need to modernise delivery, scale platforms, and lead meaningful technical change.
CI/CD pipeline design and implementation on Azure DevOps. GitOps practices with Flux and ArgoCD, automated testing gates, and deployment strategies that cut lead times and eliminate manual toil.
Internal developer platforms built on Backstage, Kubernetes, and Docker that reduce cognitive load across development teams. Self-service environments, pipelines, and runbooks — the platform team enables, not gatekeeps.
Infrastructure as Code with Terraform. Azure architecture design, Entra ID governance, cost optimisation, and landing zone setup for departments scaling from dozens to hundreds of workloads.
DevSecOps pipelines with DependencyTrack, Trivy, and Whitehat integrated from day one. Monitoring and alerting with Grafana and Azure Application Insights so issues surface in minutes, not days.
Leading complex IT initiatives with a product mindset: structured discovery, OKR-aligned roadmaps, stakeholder management across engineering, business, and security — and delivery that actually ships.
Embedding practical AI into developer workflows using Azure OpenAI, GitHub Copilot, and retrieval-augmented generation. Intelligent runbooks, AI-assisted review, and automation that improves team output.
A pragmatic stack centred on the Azure ecosystem, modern container orchestration, and proven developer platform tooling.
Every engagement starts by treating the platform as a product: developers are the users, the platform team is the product team, and outcomes are measured — deployment frequency, lead time for changes, mean time to restore, and change failure rate.
The technical work is always grounded in that model. CI/CD pipelines, IaC modules, and observability stacks are not built to check a box — they are built to move the metrics that matter to engineering leadership.
Hands-on experience leading the platform function for an IT department of 120+ engineers at QIAGEN, across infrastructure, security, monitoring, and developer tooling.
A four-step model designed for engineering leaders who need results, not slide decks.
Structured interviews with tech leads, architects, and development managers to map the current state — pipelines, infrastructure, team topology, and pain points — before any solution is proposed.
A clear, time-boxed proposal with defined deliverables, success metrics, and a realistic timeline. No vague statements, no scope creep by design.
Hands-on implementation alongside your team — CI/CD pipelines, IaC modules, platform tooling. Built together so knowledge transfers as we go, not at the end.
Documentation, runbooks, and coaching so your team owns and extends the platform independently. The goal is to make this engagement the last one you need for this problem.
Long-running platform products and technical initiatives — built iteratively, improved continuously, and measured against real engineering outcomes.
Migration of workloads to a production-grade Kubernetes platform. Delivered as a continuously evolving product with self-service onboarding — teams provision through a standardised catalogue without blocking the platform team. Progress tracked via SLOs and adoption metrics.
Replaced Ansible-based provisioning with a Terraform-first infrastructure product — versioned shared modules, full environment parity across dev/staging/production, and automated drift detection. Teams consume via a catalogue rather than writing raw infrastructure code.
Centralised security automation platform serving multiple departments with policy-driven scanning across the full software lifecycle: SCA, container scanning, and DAST. Delivered iteratively — new scan types, policy updates, and coverage reports shipped in continuous cycles.
Introduced DORA metrics as the engineering north star across a 150-engineer department. Built as a continuously maintained intelligence product — baselines evolve quarterly, findings feed the platform roadmap directly, and planning conversations shifted from effort to outcome trends.
Incrementally built a centralised observability product on Grafana and Azure Application Insights. Grew from basic dashboards — through structured team discovery — into SLO tracking, automated alerting, and on-call runbooks. Shifted engineering culture from reactive firefighting to proactive reliability ownership.
Full-lifecycle BA work on a revenue recognition and invoicing platform for global telco clients (IFRS 15 / ASC 606). Owned requirements documentation from stakeholder workshops to functional specs, managed change requests, and ensured audit-trail integrity across complex billing and revenue allocation logic.
Multi-year delivery of regulatory credit risk changes (Basel II, III, IV) and IHC requirements for the US market. Translated regulatory requirements into functional specs covering database schema changes and calculation logic. Delivered SQL validation suites to verify risk model correctness and led UAT with CRO stakeholders.
System analysis and data expertise for a fleet management solution serving transport clients. Analysed operational trend data across large vehicle fleets to surface actionable insights, and contributed to tooling that simplified fleet operations — improving decisions on route efficiency, maintenance scheduling, and utilisation.
IT Product Management is a professional IT services company based in Wrocław, Poland. We specialise in DevOps transformation, Product Management, and leading complex technical changes in organisations where delivery, security, and scale all matter at the same time.
The company is founded and operated by Piotr Bałtrukiewicz — a DevOps Manager and Product Owner with over ten years of experience across financial services, software product companies, and large-scale IT departments. His work spans the full spectrum from hands-on platform engineering to driving organisational change at the level of development culture, team structure, and tooling strategy.
The operating principle is straightforward: technology decisions should be traceable to business outcomes, platforms should be treated as products, and complexity should be reduced — not accumulated.
IT Product Management Piotr Bałtrukiewicz · NIP 502-005-27-12 · REGON 020816401 · Wrocław, Poland
If you're scaling a platform team, rethinking your CI/CD setup, planning a move to Azure, or navigating a complex IT transformation — let's talk. Engagements range from short assessments to multi-month delivery partnerships.