DÖMÖTÖR LUGOSI

AI-Enhanced DevOps & Platform Engineer

Remote / Worldwide hello@lugosidomotor.hu linkedin.com/in/domotorlugosi lugosidomotor.hu medium.com/@domotorlugosi

PROFESSIONAL SUMMARY

DevOps and Platform Engineer with 10+ years of experience building production-grade infrastructure, scalable data platforms, and automated delivery systems for Fortune 500 companies. Expert in Kubernetes, Terraform, CI/CD automation, and cloud-native architectures on AWS and Azure. I leverage AI-assisted workflows and automation-first engineering to compress delivery cycles, accelerate troubleshooting, and create leverage for clients. Proven track record in HIPAA & SOC 2 compliant environments.

KEY HIGHLIGHTS

                    10+
                    Years Experience
                

                    Fortune 500
                    Clients
                

                    AWS & Azure
                    Cloud Platforms
                

                    HIPAA/SOC2
                    Compliance
                

                    AI-Enhanced
                    Delivery Approach
                

CORE COMPETENCIES

Kubernetes Docker Terraform AWS Azure CI/CD GitHub Actions ArgoCD Helm Python Databricks Kafka Spark Prometheus Grafana Infrastructure as Code Site Reliability Engineering Data Platform Engineering AI-Assisted Engineering Intelligent Automation Platform Engineering Observability

PROFESSIONAL EXPERIENCE

Lead DevOps & Platform Engineer

Contractor at Undisclosed Clients (NDA)

Aug 2024 – Present

Architecting AI-ready data platforms & scalable cloud infrastructure with automation-first delivery.

Key Contributions:

Designed & implemented AKS & Databricks-based data platform architecture
Built AI-enhanced CI/CD pipelines (GitHub Actions, Terraform, Helm, ArgoCD)
Owned end-to-end HIPAA & SOC 2 compliance with automated governance
Leveraged AI-assisted workflows to compress infrastructure delivery cycles

Tech: Linux, Python, Shell, Docker, Kubernetes, Helm, ArgoCD, Terraform, Azure, GitHub Actions, Databricks, KeyCloak, Celery, Temporal

Senior Platform & Data Engineer

Allianz Technology

Feb 2023 – Aug 2024 · 1 yr 7 mo

Built an enterprise Big Data platform with ML/AI foundations serving multiple internal teams.

Key Contributions:

Built internal Big Data platform on Azure Kubernetes (Kafka, JupyterHub, MLFlow, Spark)
Delivered Azure Data Factory-based self-service analytics for Data teams
Implemented full-stack observability with Dynatrace
Established Data Governance framework with Informatica
Built CI/CD processes enabling Data Engineers to ship autonomously
Provided DevOps platform support across multiple teams

Tech: Linux, Python, Shell, Docker, Kubernetes, Helm, ArgoCD, Terraform, Azure, Jenkins, GitHub Actions, Git, Dynatrace, Informatica, Databricks, Azure Synapse

Senior DevOps Engineer

Tata Consultancy Services @ GE Healthcare

Jun 2021 – Jan 2023 · 1 yr 7 mo

Full-stack platform modernization: from legacy on-prem to cloud-native Kubernetes.

Key Contributions:

Modernized legacy codebase and containerized applications for cloud deployment
Designed complete AWS infrastructure as Code with Terraform
Built CI/CD pipelines in GitHub Actions and Jenkins with automated testing
Automated deployment workflows with Ansible
Implemented full observability stack: monitoring, alerting, and centralized logging
Executed zero-downtime migration from on-prem → EC2 → Kubernetes

Tech: Linux, Bash, Docker, Docker Swarm, ECS, Kubernetes, Terraform, Ansible, AWS, Jenkins, GitHub Actions, Git, Prometheus, Grafana, Elastic Stack, Loki, Oracle Cloud, Lumen, VMware, Windows Servers

DevOps Engineer

EPAM Systems

Jan 2020 – Jun 2021 · 1 yr 6 mo

Infrastructure engineering for Verizon's large-scale smart city IoT platform.

Key Contributions:

Authored Infrastructure as Code using CloudFormation
Built CI/CD pipelines with Jenkins DSL for automated delivery
Implemented monitoring and logging for IoT-scale data ingestion
Executed phased migration: EC2 → ECS → EKS with zero downtime

Tech: Linux, Python, Bash, Docker, Kubernetes, Helm, Terraform, Ansible, AWS, Jenkins, Git, Prometheus, Grafana, Elastic Stack, Oracle Cloud, WordPress, Nginx, Traefik, Redis, Pandas, Numpy

Site Reliability Engineer

Oracle

Jan 2019 – Jan 2020 · 1 yr 1 mo

Founding member of a new SRE team building unified tooling for Oracle Cloud business units.

Key Contributions:

Developer & Product Owner for database monitoring tooling
Built and operated Oracle Cloud's public Status Page
Served on SRE Tiger Team for cross-product incident response

Tech: Linux, Python, Shell, Docker, Kubernetes, Terraform, Ansible

TECHNICAL SKILLS

Container & Orchestration: Kubernetes, Docker, Helm, ArgoCD, EKS, AKS

Infrastructure as Code: Terraform, Ansible, CloudFormation

CI/CD: GitHub Actions, Jenkins, GitLab CI, ArgoCD

Cloud Platforms: AWS, Azure, Oracle Cloud, GCP

Data & Big Data: Databricks, Kafka, Spark, Azure Synapse, MLFlow, JupyterHub

Monitoring & Observability: Prometheus, Grafana, Dynatrace, ELK Stack, Loki

AI & Automation: AI-Assisted Engineering, Agentic Workflows, LLMOps, Intelligent Automation

Programming: Python, Bash/Shell, YAML, JSON, Git

EDUCATION

EPAM Systems

DevOps Academy – 2020

Budapest Business School

Business Administration and Management – 2015