München, 14.08.2025
Vladislav Vorobev¶
DevOps & Backend Engineer – Python | Linux | Data | AI
Results-driven Platform Engineer with 15+ years of experience designing, building, and operating data pipelines, event-driven architectures, and microservices across Automotive, E-Commerce, and IoT—from startup prototypes to enterprise systems. Proven track record of cutting processing costs, boosting test coverage, and migrating workloads between cloud and bare-metal environments. Hands-on with modern DevOps practices while leveraging LLMs to accelerate development cycles.
Competencies and Skills (Selected)¶
Languages: Python (Expert), Java, Groovy, JavaScript, C, Rust (learning) more with AI Tools.
Frameworks/Libs: Pydantic, FastAPI, Pyramid, Flask, asyncio …, pySpark, Django, gRPC, Tornado, AngularJS, Reakt, Svelte…
Cloud & DevOps & Monitoring: Kubernetes, Docker, Terraform, Nomad, CI/CD (GitHub, GitLab, Jenkins); AWS (S3, Athena, Glue), Azure(Databricks, Blob), GCP (GKE, Cloud Storage), Hetzner, Prometheus, Grafana.
Data, Big‑Data, ETL: Spark/pySpark, Delta Lake, Kafka, Airflow, Pandas, SQL (PostgreSQL, MySQL, MariaDB) & NoSQL (MongoDB).
Dev/Testing/Quality: unit/pytest, CodeQL, SonarQube, Sentry, OpenTelemetry, Behave, Robot.
Domain: Automotive, Telematics, IoT/Sensors, Battery, Audit & Compliance, E‑Commerce.
AI Tools/IDEs: Claude, OpenAI, Codex, Cursor, ZED, vim, VSCode, IDEA/PyCharm, Eclipse.
Professional Experience (Selected)¶
DesignWeltDeko – Full‑Stack Software Developer, E-Comerce
12/2024 – 08/2025, Munich, Role: IT Consulting / Software Developer / Full Stack; Type: Consulting Project
Provided business IT consulting by introducing modern tools and automations (development, ETL, deployment, monitoring).
Led integration of a Shopify-based e-commerce platform using Liquid templates for frontend customisation.
Developed an event-driven product management system with real-time synchronization to Shopify, enabling seamless updates for products and images classified by AI.
Built customer-service features, integrated marketplaces (eBay, Etsy, Amazon), and developed a Progressive Web App (JavaScript-based frontend).
Deployed a Kubernetes environment (Calico, MetalLB, Ingress-Nginx) on Hetzner and on-premise to host core services, image storage, and internal ERP.
Set up comprehensive Kubernetes cluster monitoring, tracing, and metrics collection using Prometheus, Grafana (Tempo, Loki etc.), Kafka, Airflow (DAG), and OpenTelemetry.
Implemented internal and consumer-facing AI agents using RAG, vector databases (FAISS), OpenAI, and LangChain.
Coached team members in: AI/ML practices, and effective use of LLM Agents and tools.
- Tech Stack:
Languages & Tools: Python, JavaScript, SQL, Pandas, FastAPI, FastStream, Pydantic/AI.
APIs: REST, GraphQL (Shopify, OpenAI, Google, Etsy, Amazon, eBay), Google: Analytics / Merchant / Ads / IDP etc.
AI/ML: LLM, LangChain, FAISS, OpenAI, RAG, Pydantic, LLM Agents, Claude, OpenAI…
DevOps & Infrastructure: Linux (Debian, Alpine), Docker, Kubernetes (Calico, MetalLB, Ingress-Nginx), Rook+Ceph, Gitea, Hetzner Cloud <-> On-Premise, Network, VPN.
Monitoring, Metrics, Tracing, CI/CD & ETL: Prometheus, (Tempo, Loki…), Kafka, Airflow (DAG), OpenTelemetry.
IDEs & Tools & Agents: Claude Code, Zed, Cursor, VSCode
Protocols & Formats Testing & Automation: pytest, Behave, JSON, Protobuf, Liquid, HTML, Excel, CSV
SAP SE – Software Engineer, Automated Audit Framework
06/2024 – 12/2024, Walldorf (consulting)
Delivered new compliance features and upgraded codebase to newest Python.
Refactored legacy modules, shrinking lines‑of‑code while raising performance.
Tech: Python, Pyramid, FastAPI, REST, OAuth PostgreSQL, MinIO, Docker, GCP, Kubernetes, GitHub, Actions.
Mercedes‑Benz AG – Senior Python Developer
01/2023 – 05/2024, Stuttgart (permanent)
Optimized micro-service applications for battery test data analysis and executed cloud migration.
Migrated battery-test analytics to Azure Blob and Databricks, cutting processing time 40 %.
Unit test coverage from 60 % to 90 %.
Tech: Python, FastAPI, Pydantic, Pandas, Arrow, Delta Lake, Kubernetes, Azure (MIC/eXtollo internal clouds), Azure DevOps.
SAP SE – Lead Dev, Distributed Self‑Audit Platform
05/2019 – 12/2022, Walldorf (consulting)
Architected micro‑services ecosystem collecting audit data from 30+ SAP business units.
Implemented MinIO‑based storage ingestion handling 12 TB/day with 99.95 % uptime.
Designed PostgreSQL schema & tuning; backup.
Tech: Python, asyncio, Kafka, MinIO, Kubernetes, AWS/GCP.
Skoobe GmbH – Big Data Engineer (Python/Java)
05/2018 – 12/2021, Munich (consulting)
Ported monolith services from Python 2.7 and Java to modern async Python 3 micro-services; shaved 25 % latency.
Built GraphQL gateway consolidating 3 legacy APIs; reduced maintenance effort 30 %.
Supported migration to AWS, automated CI/CD with Jenkins and Terraform.
Tech: Python, Java, FastAPI, GraphQL, AWS, Jenkins, Nomad, Terraform.
MAN Truck & Bus AG – Backend Developer (Data Processing)
01/2018 – 05/2020, Munich (consulting)
Processed terabytes of CAN‑Bus data in AWS S3 using pySpark; enabled real‑time safety alerts.
Automated data classification pipeline; cut manual effort significantly.
Tech: Python, Spark, S3, Parquet, AWS Glue, Airflow.
Mozaiq Operations GmbH – IoT Dev & DevOps Engineer
01/2016 – 12/2018, Munich (consulting)
Developed a backend platform for IoT interconnectivity.
Built cloud connectors for Bosch/Siemens and Osram etc; increased device coverage 4×.
Deployed Vert.x micro‑services on GCP Kubernetes; achieved 99.9 % SLA.
Tech: Groovy, Java, Vert.x, GCP, Kubernetes, MongoDB.
Earlier Consulting & Leadership (2009 – 2015)
Team Lead, Head of IT roles, E‑Commerce platform builds, GIS startup; details on request.
Education¶
Dipl.-Ing. Elektrotechnik (Informationstechnik) – TH-Köln, 2009
Languages¶
German (native) | English (fluent) | Russian (native)
Note
Detailed project portfolio with longer project descriptions and client references available on request.
