Technical Delivery & Orchestration
Roadmaps, releases, dependencies, delivery predictability, cross-team coordination, risk management and executive stakeholder communication.
Technical Delivery · SRE/DevOps · Cloud · AI · Digital Commerce
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
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.
Roadmaps, releases, dependencies, delivery predictability, cross-team coordination, risk management and executive stakeholder communication.
Reliability engineering, observability, incident response, automation, SLIs/SLOs, postmortems, disaster recovery and operational excellence.
Cloud-native environments, Kubernetes, APIs, distributed services, CI/CD, infrastructure automation and release trains.
Technical product ownership, international team leadership, mentoring, hiring, prioritization, delivery cadence and organizational improvement.
Years of experience across enterprise e-commerce environments, platforms and operational delivery for major brands and digital businesses.
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
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.
Using LLMs to structure information, summarize complex inputs, prepare stakeholder communication, challenge assumptions, improve documentation and accelerate decision preparation.
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.
Applying LLMs and retrieval-based approaches to incident context, runbooks, support knowledge, postmortem analysis, service-management workflows and operational learning.
Exploring AI across product discovery, search, merchandising, content, support, personalization, operational automation and agentic workflows — always tied back to customer and business value.
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.
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
04 / Experience
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.
SHOPWARE
Leading coordination across cloud product delivery with responsibility for roadmaps, release rollouts, delivery reporting, cross-team dependencies, risk management, incidents, escalations and stakeholder communication.
DICONIUM · A VOLKSWAGEN GROUP COMPANY
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.
DICONIUM · A VOLKSWAGEN GROUP COMPANY
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.
DICONIUM · A VOLKSWAGEN GROUP COMPANY
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.
DICONIUM · A VOLKSWAGEN GROUP COMPANY
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.
ABIT · VARAŽDIN, CROATIA
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.
05 / Domains
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.
Hands-on foundation in Java, web systems, backend development and technical ownership of business-critical applications.
Reliability engineering, automation, monitoring, CI/CD, incident management, SLIs/SLOs and blameless learning.
Cloud-native infrastructure, Kubernetes, APIs, distributed services, infrastructure automation and platform delivery.
Enterprise e-commerce environments across Shopware and projects involving Mercedes-Benz, Porsche, STIHL, Foot Locker and Volkswagen.
Years in large-scale Volkswagen Group environments, with complex stakeholder structures, international teams and business-critical systems.
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
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.
Strong delivery decisions start with enough technical depth to understand architecture, reliability and operational constraints.
Complex delivery becomes manageable when dependencies, ownership and sequencing are explicit.
A risk raised early creates options. A risk raised late becomes an escalation.
Automate synthesis, search, drafting and repetitive analysis, while keeping ownership and decisions with people.
Stakeholders need clarity on progress, confidence, risks and decisions — not another status meeting.
07 / Topics I think about
A future home for practical notes connecting technical delivery, SRE/DevOps, cloud platforms, AI and digital commerce.
DELIVERY
SRE → LEADERSHIP
AI + OPERATIONS
E-COMMERCE
AI + DELIVERY
LEADERSHIP
08 / Contact
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.
Get in touch
flegar.jurica@gmail.com ↗