Andreas Kraus

Andreas Kraus

Dr. rer. nat. / Freelance Senior Software Engineer

I look forward to support you in the development of your individual software solutions. I have over 15 years of experience in developing high quality software. During many projects I was working with a big bandwith of technologies and development approaches. As a fullstack developer I am working from frontend to backend including devops and primarily using cloud technologies. The typical roles in projects include development, software design, technical consulting, architecture and coaching.

Development
Coaching
Design
Architecture
Consulting
Tech Lead

Skills

General

Highly motivated, working autonomously and enthusiastic about new technologies, sense of quality, caring about clean code
Cloud Native

Automated provisioning (CD/IaC) of microservices as containers and orchestration using Kubernetes or Serverless
Cloud Provider

Amazon Web Services (AWS) and Microsoft Azure, provising via CloudFormation/CDK, ARM templates or Terraform
Microservices

Development of microservices using technologies such as Play Framework (Scala/Java), Spring Boot or Node.js, patterns such as resilience via Hystrix
Web Technologies

HTML, XML, JSON, CSS, Sass, Less, HTTP, REST, SOAP, GraphQL, and security relevant OAuth, JWT, encryption, XSS, OWASP, …
Web Frameworks

Working for many years with a wide range of Web frameworks such as recently Angular or React/Next.js, Play Framework (Scala and Java)
Container Technologies

Docker, Docker Compose as well as provisioning and management of Kubernetes (AKS), management of Kubernetes deployments
DevOps

Continuous Integration/Delivery (CI/CD) and Infrastructure as Code (IaC) know how, monitoring, alerting, dashboards, Jenkins, Azure DevOps, GoCD, DataDog, …
Scala

Scala 2.13 using many frameworks and libs such as Cats, Cats Effect, Zio, Akka Actors, Akka Streams, Slick, Play Framework, Monix …
Java/Kotlin

Working with Java from the beginning Java 1-21, JEE (EJB, JPA, CDI, …), Spring Framework (different modules especially Spring Boot, Reactive, …), JMS, Jersey, …
JavaScript/TypeScript

Frontend and backend, Vanilla JS or using Web frameworks or Node.js, bundling and transpiling (webpack), using libraries such as RxJs
Artificial Intelligence (AI)

Prompt Engineering, Finetuning, Python, Generative AI, LLMs, OpenAI, …
Databases

Use of SQL databases such as Oracle, PostgreSQL, MySql, DB2, … and NoSQL databases such as MongoDB, DynamoDB, CosmosDB, …
Build Tools

Depending on technology use different build tools such as maven, gradle, sbt, npm, webpack, docker build, …
Testing

TDD, unit, integration, e2e and load tests using JUnit, Mockito, ScalaTest, Testcontainers, Jasmine, Karma, Selenium, Cypress, Gatling, Playwright, Artillery, …
Version control

Primarily Git/Github/Gitlab, different strategies such as trunk based development with feature toggles or Git Flow
Big Data

Use of BigData technologies such as Kafka or Spark as well as stream based processing via RxJs/Java/Scala, AkkaStreams, Monix, Spring Reactive, …
Logging and Monitoring

Use of Logstash, Elasticsearch and Kibana (ELK stack), Grafana, Fluentd, Datadog, Azure App Insights, … for log and telemetry data