Required skills
- Python
- FastAPI
- Django
- HTML
- CSS
- JavaScript
- TypeScript
- Bootstrap
- UI Frameworks
- Responsive Design
- Angular
- RxJS
- Jest
- ESLint
- TSLint
- Agile Methods
- Scrum
- Kanban
- Clean Code
- SOLID
- Code Reviews
- SonarQube
- Linter
- Relational Databases
- PostgreSQL
- Oracle
- MySQL
- SQL
- CRUD
- Performance Optimization
Languages: German
Job description
Seeking a Software Engineer with a focus on Frontend to contribute to the development and operation of an IT service for simulation-based prediction of large equipment availability. The role involves scaling and enhancing an existing microservice application.
Project overview
Key Data:
Role: Software Engineer with Frontend Focus
Period: ASAP to 31.12.2027
Utilization: 100% / Full-time
Requirements
Have we sparked your interest?
Then send us your CV in Word format and your current availability, including your hourly rate, to: robin.aydinalp AT deedcon.de
- Min. 3 years: Python (FastAPI, Django)
- Min. 3 years: HTML, CSS, JavaScript, TypeScript, Bootstrap, UI frameworks, and Responsive Design
- Min. 3 years: Angular 20+, RxJS, Jest, ESLint/TSLint
- Min. 3 years: Agile Methods (Scrum, Kanban, Definition of Ready/Done, Acceptance Criteria)
- Min. 3 years: Software Quality (Clean Code, SOLID, Code Reviews, SonarQube, Linter)
- Min. 3 years: Relational Databases (PostgreSQL, Oracle, MySQL, SQL, CRUD, Performance Optimization)
- Min. 3 years: Build Automation and CI/CD (GitLab CI/CD)
- Min. 1 year: Software Architecture (3-Tier, Clean/Hexagonal Architecture, Design Patterns)
- Min. 1 year: Linux System Administration (Bash, top, grep, git, ps)
- Min. 1 year: Accessible Frontend Development (WCAG, Contrasts, VoiceOver)
- Min. 1 year: Container Technologies (Podman, Helm, Kubernetes, Kubespray)
- Min. 1 year: Data and Application Migrations
Project details
Primarily remote & on-site in Germany as needed
Service Description
We are looking for support in building, operating, and further developing an IT service for simulation-based prediction of the operational readiness of large equipment.
The project's goal is to predict the future operational readiness of selected large equipment and sustainably improve their availability through central storage, preparation, and analysis of technical and logistical data, as well as the use of simulation-based prediction methods.
The focus is on scaling and functional further development of an existing, containerized microservice application, which has already been prepared and tested for operation on a cloud platform.
- Start: ab sofort
- Duration: 15 Monate
- Location: DE
- Languages: German
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