Backend Developer
Management: 6-10 years (6-15 people)
Active 19 days ago
Invite to interview
Download CVCV
Overview
Timeline
Roles
Overview
Ruby backend developer (intern level) who has produced small Ruby utilities and Rails generator templates. The most concrete artifact visible is a contributor-statistics Ruby script located at git_commits_stat/git_commits_stat.rb which implements command line option parsing and simple git diff counting logic. There is no human-authored evidence of production API design, database schema evolution, concurrency patterns, or comprehensive test suites in the analyzed human-authored files.
Phone
Timeline
Senior Backend Engineer / Refactoring Specialist
•
Head+
LOUIS INTERNET GmbH
•
Full-Time
Led refactoring and modernization of asynchronous customer-communication workflows for WhatsApp API automation. Migrated business logic out of DelayedJob into isolated, testable service classes and closed critical testing gaps with a comprehensive RSpec suite. Designed an automated registration bot using QR-code scans and dynamic agent assignment, and extended Rails generator functionality via custom gems.
Python
Pundit
GraphQL
Vue.js
PostgreSQL
Senior Software Developer & System Architect
•
Lead
Fast Lta
•
Full-Time
Developed a system to automatically download, decompress, and time-synchronize rotated GNU/Linux log files and ingest parsed results into a central database. Built a high-performance hierarchical log visualization UI with smooth scrolling, line highlighting, real-time full-text search, and collaborative notes for support teams. Modernized the overall core by upgrading to newer Ruby, Rails, and Vue.js versions after identifying performance bottlenecks in third-party code.
Python
RSpec
Jest
Vue.js
PostgreSQL
Engineering Consultant / Solutions Architect
•
Lead
ALTEN
•
Full-Time
Managed and delivered two large technology programs in AI and autonomous driving, covering both architecture and implementation planning. Built a GPU-accelerated retail object-tracking prototype using OpenCV, Darknet YOLO, and Docker, and implemented efficient inter-process communication to aggregate distributed data streams. Created a KPI processing component to reconcile computer-vision outputs with ground-truth annotations, supporting multiple detection modules.
Python
Go
C++
Docker
TensorFlow
Spark
YOLO
Protobuf
Senior Software Developer
•
Senior
MICE Portal GmbH
•
Full-Time
Consolidated and deeply refactored core functionality from two legacy systems into a new high-performance server architecture. Built a new server-side data ingestion application to aggregate global hotel-chain master data using an optimized XML parser. Worked on an application stack combining Rails and modern front-end tooling while supporting automated testing and performance-oriented background processing.
Python
React.js
JQuery
RSpec
ElasticSearch
Redis
Docker
Intern Backend Developer
Confidence: Medium Generalist
Ruby backend developer (intern level) who has produced small Ruby utilities and Rails generator templates. The most concrete artifact visible is a contributor-statistics Ruby script located at git_commits_stat/git_commits_stat.rb which implements command line option parsing and simple git diff counting logic. There is no human-authored evidence of production API design, database schema evolution, concurrency patterns, or comprehensive test suites in the analyzed human-authored files.
API Design
How well APIs are designed
Not evidenced in public code
Data Layer & Database
Working with databases
Not evidenced in public code
Scalability & Performance
Handling load and speed
Not evidenced in public code
System Architecture
Overall system structure
Not evidenced in public code
Security & Auth
Protecting data and access
Not evidenced in public code
Reliability & Observability
Stability and monitoring
Not evidenced in public code
Recommendations
- Work on small Ruby backend features such as command-line utilities or lightweight Rails generators to build practical experience.
- Add unit and integration tests using RSpec and include clear examples of transaction handling and migration history to demonstrate backend design decisions.
- Implement a small HTTP JSON API endpoint backed by a database with documented error contracts, pagination, and idempotency handling.
- Practice resilience patterns: add timeouts, retries with exponential backoff, and graceful shutdown logic in a background worker or service.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Intern Frontend Developer
Confidence: Low Generalist
Frontend developer at an intern level with limited verifiable human-authored work available. There is no concrete, human-authored artifact available to demonstrate a single strongest proven skill. Public code does not show evidence of component architecture, async state handling, accessibility engineering, performance optimization, or meaningful test coverage.
UI Component Architecture
How interface parts are built
Not evidenced in public code
Responsive & Cross-browser
Works on all screens and browsers
Not evidenced in public code
Performance Optimization
Speed of the interface
Not evidenced in public code
Accessibility & Semantics
Usable for everyone
Not evidenced in public code
State Management & Data Flow
Managing data in the app
Not evidenced in public code
UX & Visual Polish
Look and feel quality
Not evidenced in public code
Verified artifacts
Recommendations
- Build small, focused UI components (React/Vue/Svelte) with unit tests and a Storybook catalog to demonstrate component architecture and composition skills.
- Implement an async data flow example that includes cancellation, race handling, and an optimistic update with rollback plus tests to show state management discipline.
- Add automated linting and accessibility checks in CI and produce at least one PR with a11y fixes and test coverage to prove accessibility and quality practices.
- Contribute a non-boilerplate feature end-to-end (UI, async data fetching, error/loading states, tests) so ownership and engineering judgment are visible.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
