Technical Delivery · SRE/DevOps · Cloud · AI · Digital Commerce

Turning complex ideas into reliable delivery and business impact.

I’m a technology and delivery leader with 13+ years of experience spanning software engineering, DevOps/SRE, cloud operations, technical product ownership, people leadership and digital commerce.

I connect engineering depth with delivery leadership — from building and operating reliable systems to coordinating roadmaps, releases and cross-team dependencies. Increasingly, I use AI and LLMs to improve how teams develop, operate, communicate and make decisions.

01 / What I do

Bridging engineering, operations and delivery.

My background combines hands-on technical experience with product and management responsibility. That gives me a practical view of delivery from multiple angles: how systems are built, how they fail, how teams operate them, how roadmaps are coordinated and how business stakeholders consume progress.

01

Technical Delivery & Orchestration

Roadmaps, releases, dependencies, delivery predictability, cross-team coordination, risk management and executive stakeholder communication.

02

SRE, DevOps & Operations

Reliability engineering, observability, incident response, automation, SLIs/SLOs, postmortems, disaster recovery and operational excellence.

03

Cloud & Platform Engineering

Cloud-native environments, Kubernetes, APIs, distributed services, CI/CD, infrastructure automation and release trains.

04

Technical Product & Team Leadership

Technical product ownership, international team leadership, mentoring, hiring, prioritization, delivery cadence and organizational improvement.

05

Digital Commerce

Years of experience across enterprise e-commerce environments, platforms and operational delivery for major brands and digital businesses.

06

AI, LLM & Automation

Using LLMs, RAG, chatbots, GitHub Copilot and AI environments to improve development, support, service management, knowledge workflows and everyday delivery work.

02 / AI in practice

AI as part of the everyday operating model.

I see AI less as a standalone initiative and more as a new capability layer across delivery, engineering, operations and commerce. The value comes from embedding it into real workflows — with human judgment, clear guardrails and measurable outcomes.

01

Everyday Work & Leadership

Using LLMs to structure information, summarize complex inputs, prepare stakeholder communication, challenge assumptions, improve documentation and accelerate decision preparation.

02

Engineering & Development

AI-assisted coding, reviews, test generation, troubleshooting, documentation and knowledge retrieval — with tools such as GitHub Copilot and LLM-based workflows used as engineering copilots rather than autonomous substitutes.

03

Operations & Reliability

Applying LLMs and retrieval-based approaches to incident context, runbooks, support knowledge, postmortem analysis, service-management workflows and operational learning.

04

E-commerce & Customer Experience

Exploring AI across product discovery, search, merchandising, content, support, personalization, operational automation and agentic workflows — always tied back to customer and business value.

05

LLMs, RAG & Internal Knowledge

Hands-on exposure to Llama, RAG, chatbots and AI environments, including infrastructure for testing LLM-based use cases aimed at improving support and service-management processes.

06

Responsible Adoption

Keeping data sensitivity, security, human oversight, evaluation and measurable outcomes part of the design — especially when AI becomes embedded in business-critical workflows.

03 / Selected impact

13+years across software engineering, SRE, operations, product ownership and technical leadership
15+SRE professionals led across Germany, India and Portugal
80%of selected manual deployment, server and data-import work automated on a major project
24/7support operations strengthened through incident and escalation management tooling

04 / Experience

A progression from engineering to technology leadership.

My career has grown through multiple layers of technology work — starting with software development, moving into SRE and operations, then technical product ownership and management, and now broader technical delivery leadership.

CURRENT

SHOPWARE

Technical Delivery Manager · Cloud Products

Leading coordination across cloud product delivery with responsibility for roadmaps, release rollouts, delivery reporting, cross-team dependencies, risk management, incidents, escalations and stakeholder communication.

Technical DeliveryCloud ProductsReleasesRoadmapsCross-Team CoordinationRisk Management
2024 — 2025

DICONIUM · A VOLKSWAGEN GROUP COMPANY

Manager · Site Reliability Engineering

Led service delivery and operational takeover for a business-critical Volkswagen data distribution initiative. Established embedded SRE practices, supported leadership development, contributed to Service & Operations strategy, and led infrastructure work for an AI environment used to test LLM-based support and service-management use cases.

SRE ManagementService DeliveryVolkswagen GroupOperational ExcellenceAI Infrastructure
2021 — 2024

DICONIUM · A VOLKSWAGEN GROUP COMPANY

Technical Product Owner

Led an international team of 15+ SREs across Germany, India and Portugal in a large-scale automotive environment. Owned technical backlog and delivery cadence, collaborated across SAFe/ART structures and drove incident, escalation, reliability and automation initiatives.

Technical Product Ownership15+ SREsSAFeIncident ManagementAutomationLeadership
2020 — 2021

DICONIUM · A VOLKSWAGEN GROUP COMPANY

Senior Site Reliability Engineer

Steered incident response and escalations, led blameless postmortems, designed disaster recovery approaches, contributed to architecture decisions and mentored engineers. Introduced Wazuh SIEM and Grafana capabilities that later became part of the service portfolio.

SREIncident ResponseSecurityArchitectureMentoring
2016 — 2020

DICONIUM · A VOLKSWAGEN GROUP COMPANY

Site Reliability Engineer / DevOps

Supported enterprise e-commerce projects for Daimler, Mercedes-Benz, STIHL, Foot Locker, Porsche and Volkswagen. Worked across production operations, deployments, automation, monitoring and incident response, including automating 80% of selected manual operational tasks on a major project.

SREDevOpsE-commerceCI/CDMonitoringAutomation
2015 — 2016

ABIT · VARAŽDIN, CROATIA

Software Developer / Technical Team Lead

Built and maintained banking and financial IT systems, maintained an internal web framework and took technical leadership for an online banking module — establishing the engineering foundation for my later work in reliability, operations and delivery.

Software EngineeringTechnical LeadBankingJavaWeb Systems

05 / Domains

Experience across the full technology lifecycle.

I have worked across software creation, platform operations, service reliability, product ownership, management and delivery — in environments where technology has to scale, stay reliable and support real business outcomes.

01

Software Engineering

Hands-on foundation in Java, web systems, backend development and technical ownership of business-critical applications.

02

SRE & DevOps

Reliability engineering, automation, monitoring, CI/CD, incident management, SLIs/SLOs and blameless learning.

03

Cloud & Platform

Cloud-native infrastructure, Kubernetes, APIs, distributed services, infrastructure automation and platform delivery.

04

Digital Commerce

Enterprise e-commerce environments across Shopware and projects involving Mercedes-Benz, Porsche, STIHL, Foot Locker and Volkswagen.

05

Automotive

Years in large-scale Volkswagen Group environments, with complex stakeholder structures, international teams and business-critical systems.

06

AI & Automation

Practical experience with Llama, RAG, chatbots, GitHub Copilot and AI environments, with a focus on useful workflows rather than AI as a standalone buzzword.

06 / How I operate

Engineering depth. Delivery clarity. Business context.

My leadership approach is shaped by having worked on both sides of delivery: building and operating systems, and later coordinating the people, dependencies, risks and decisions around them.

Understand the system.

Strong delivery decisions start with enough technical depth to understand architecture, reliability and operational constraints.

Make dependencies visible.

Complex delivery becomes manageable when dependencies, ownership and sequencing are explicit.

Surface risks early.

A risk raised early creates options. A risk raised late becomes an escalation.

Use AI to remove friction, not judgment.

Automate synthesis, search, drafting and repetitive analysis, while keeping ownership and decisions with people.

Communicate for decisions.

Stakeholders need clarity on progress, confidence, risks and decisions — not another status meeting.

07 / Topics I think about

Ideas worth exploring.

A future home for practical notes connecting technical delivery, SRE/DevOps, cloud platforms, AI and digital commerce.

DELIVERY

What SRE taught me about technical delivery management

SRE → LEADERSHIP

Why reliability thinking matters beyond operations

AI + OPERATIONS

Where LLMs actually help SRE and service-management teams

E-COMMERCE

What reliable platform operations mean for digital commerce

AI + DELIVERY

How AI can improve delivery predictability without creating false confidence

LEADERSHIP

From technical team lead to cross-team delivery leadership: what changes and what does not

08 / Contact

Complex technology.
Clear delivery.

I enjoy connecting with people working on cloud platforms, digital commerce, AI-enabled products and complex technology organizations — whether to exchange ideas, discuss delivery challenges or explore new opportunities.