DevOps and Cloud Engineer automating infrastructure across AWS and Azure
I'm a DevOps and Cloud Engineer with more than three years of experience across AWS, Azure and infrastructure running on premises. I hold an M.Sc. in Artificial Intelligence from FAU Erlangen-Nürnberg, which I now apply to automation, agentic AI workflows and ML infrastructure.
Right now I'm the sole DevOps engineer at hiveQ AG, where I look after a SaaS platform used by many tenants, covering everything from provisioning and deployment to security and reliability. I care about building systems that are reproducible, automated and easy to hand over, whether that means Infrastructure as Code, GitOps or a solid CI/CD pipeline.
Before hiveQ, I spent two years at Siemens Energy working on cloud infrastructure, CI/CD and FinOps, and before that I supported AI tooling and cost monitoring at Procter & Gamble.
hiveQ AG · DevOps & Cloud Engineer, since January 2026
- Own the full hybrid estate as the sole DevOps engineer, covering provisioning, deployment, security and reliability across legacy Windows servers and a new Ubuntu and Docker platform.
- Led the migration to Ubuntu and Docker, now running about 30 containerized services internally, cutting licensing and database costs.
- Automated environment provisioning with Terraform and Ansible, cutting setup time from about two days to under ten minutes.
- Extended the CI/CD pipeline on TeamCity and Octopus Deploy with security gating, cutting deployment time from around 45 minutes to under 10.
- Built GitOps style reconciliation from a single source of truth, replacing about 30 manual steps with one command.
- Automated per tenant database provisioning with backups secured through Ansible Vault, cutting onboarding time from a full day to about 10 minutes.
- Designing a tiered hosting model, using Helm and Kubernetes for a highly available option for premium tenants alongside optimized Docker for standard ones, matching availability commitments to each customer's infrastructure cost.
Siemens Energy · DevOps and Digitalization, Working Student, January 2024 to January 2026
- Designed a containerized invoice and PDF microservice in Python and .NET Core, replacing a paid third party API.
- Migrated Jira backlogs onto Azure DevOps CI/CD, cutting migration time from two weeks to under four hours across 12 agile teams.
- Built ETL pipelines for the Pythia Knowledge Graph, moving SAP and Salesforce data through Snowflake and AWS Lambda into Neptune, RDS and S3 for more than 1,000 users.
- Supported AWS FinOps work, applying scheduled scaling, spot instances and resizing to reduce cloud spend.
Procter & Gamble · Cloud Assistant, AI & R&D, Working Student, February 2023 to August 2023
- Containerized machine learning workflows with Docker and Azure ML pipelines, cutting model preparation time by half.
- Set up proactive cost monitoring and budget alerts in Azure, cutting GPU compute spend by about 25 percent.
- M.Sc. in Artificial Intelligence, FAU Erlangen-Nürnberg (2022 to 2026)
- B.Sc. in Computer Engineering, University of Tabriz (2018 to 2022)
🌱 Currently deepening: Advanced Kubernetes, ArgoCD, DevSecOps and Platform Engineering 📚 Working towards: AWS Certified Solutions Architect Associate (SAA-C03)
- Automated Medical Imaging Pipeline (Master Thesis, FAU): a scalable deep learning pipeline for medical image segmentation, built with Python, PyTorch and Docker.
- LLM Powered Enterprise Chatbot (Siemens Energy): automated CI/CD and infrastructure scaling for a chatbot built on Azure OpenAI, cutting data retrieval time by 70 percent.
Predicting semantic segmentation quality in laryngeal endoscopy images, published in PLOS ONE (2025), with Andreas M. Kist, René Groh, Florian Gritsch and Anne Schützenberger. Read it at doi.org/10.1371/journal.pone.0314573
Hackathons, AI and tech meetups, gym training, playing rock guitar, strategy games like Dota 2 and competitive chess.
- Email: [email protected]
- LinkedIn: linkedin.com/in/sinarazii
