07.05.2025 aktualisiert
100 % verfügbar
Senior Software Engineer
Schenefeld, Deutschland
Weltweit
Skills
Clean CodeJavaJavascriptAmazon Web ServicesJiraGithubIntellij IDEAPythonPostgresqlMongodbMysqlNode.JsRedisTypescriptAWS CdkPulumiSpring-mvcReactJSSpringbootCypressExpo.ioSpring DataKotlinAngularJSGitlab-CiKubernetesCassandraApache KafkaGraphqlReact NativeNestJSRestful ApisTerraformServerless ComputingDockerMicroservices
My preferred technologies:
- TypeScript
- React
- Kotlin
- Java
- AWS
- Serverless
- Docker
- Pulumi
- Terraform
- GitHub Actions
- MongoDB
- PostgreSQL
- MySQL
- AWS CDK
- Angular
- Bun
- Cassandra
- Clean Code
- Cypress
- Expo
- Gitlab CI
- GraphQL
- IntelliJ
- JavaScript
- Jira
- Jest
- Kafka
- Kubernetes
- Microservices
- NestJS
- Nodejs
- OpenAI
- Pulumi
- Python
- REST
- React Native
- Redis
- Spring
- tRPC
- Vitest
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
• serverless application for all Porsche dealers worldwide to manage their inventory
• backend Lambda functions and React frontend developed in Typescript
• all infrastructure is manifested as code by using AWS CDK and Terraform
• the data is mainly stored in a MongoDB database
• CI/CD Pipeline built in GitHub Actions
• backend Lambda functions and React frontend developed in Typescript
• all infrastructure is manifested as code by using AWS CDK and Terraform
• the data is mainly stored in a MongoDB database
• CI/CD Pipeline built in GitHub Actions
• live video-streaming platform for software developers with live chat
• microservice architecture in Kubernetes with Docker
• service communication through Apache Kafka
• backend mainly developed in Go and Python
• frontend developed with React in Typescript
• microservice architecture in Kubernetes with Docker
• service communication through Apache Kafka
• backend mainly developed in Go and Python
• frontend developed with React in Typescript
• lead development of a serverless analytics application based on AWS
• backend mostly Typescript Lambda functions and a Postgres DB
• elasticsearch is used for search and analytics
• the React frontend communicates via GraphQL with the backend
• all infrastructure is manifested as code by using Terraform
• backend mostly Typescript Lambda functions and a Postgres DB
• elasticsearch is used for search and analytics
• the React frontend communicates via GraphQL with the backend
• all infrastructure is manifested as code by using Terraform