04.09.2026 aktualisiert

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60 % teilweise verfügbar

Senior Backend & Cloud Engineer | Java | Spring Boot | AWS | Kubernetes | DevOps

Hamburg, Deutschland
Nur Remote
B.Sc. Honours — Computer Science, Nelson Mandela University, 2016–2017 (Cum Laude)
Hamburg, Deutschland
Nur Remote
B.Sc. Honours — Computer Science, Nelson Mandela University, 2016–2017 (Cum Laude)

Profilanlagen

David_Wagner_Freelancer_CV.docx

Über mich

Born in Friedrichshafen, Germany, in 1992, I hold a BSc and BSc Honours (Cum Laude) in Applied Mathematics and Computer Science and have 10 years of experience at AWS, IBM and RMS GmbH. I am passionate about building robust, reliable and maintainable software solutions.

Skills

Argo CDTektonJavaAPIsBash ShellCliCloud-EngineeringDevOpsGradleHibernateJSONPostgreSQLLiquibaseMATLABApache MavenMongoDBScrumRabbitMQAWS CLIAngular 2+UMLOpenapiDatadogAWS CDKPostmanSpring BootBackendGitLabGitBackend-programmierungKubernetesApache KafkaFront EndApi DesignRestful ApisJenkins
Java & Spring Boot Backend Development
Extensive expertise in building and operating backend systems using Java and Spring Boot, including REST API design, microservices architecture, OpenAPI, and distributed systems with over 10 years of professional experience.

Cloud Engineering mit AWS & Kubernetes
Deep hands-on experience with AWS services and Kubernetes (K8s), including container orchestration with Docker/Podman, Helm, ArgoCD, Tekton, and CI/CD pipelines for production-grade cloud deployments.

DevOps & CI/CD
Solid background in DevOps practices, including Jenkins, Git, CI/CD automation, Datadog monitoring, and operational support for production systems across cloud and on-premise environments.

Messaging & Integration
Practical experience with messaging and integration technologies including Kafka, RabbitMQ, JSON, REST, Postman, and Insomnia for building event-driven and API-integrated systems.

Datenbanken & Persistenz
Proficiency in relational and non-relational databases including SQL, PostgreSQL, Oracle, MongoDB, JDBC, Hibernate, Liquibase, Flyway, and Datagrip for data modeling and persistence management.

TypeScript & Frontend-Technologien
Knowledge of TypeScript, Angular, and HTML/CSS for frontend development tasks within full-stack project contexts.

Testing & Build-Tools
Experience with testing frameworks and build tools including JUnit, TestNG, Gradle, and Maven for automated testing and project build management.

Additional Languages
Additional programming language skills in C#, F#, Android development, and MATLAB, broadening the technical scope across different domains.

Machine Learning
Certified in Machine Learning through Stanford Online (2019), with foundational knowledge applicable to data-driven and optimization-focused engineering projects.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2026

Sprachen

DeutschMutterspracheEnglischverhandlungssicherRussischGrundkenntnisse

Projekthistorie

Senior Backend Software Engineer

RMS GmbH — Hamburg, Germany
Lead a project to centralize product and tariff information in a single service serving multiple domains. Developed part of an RMV VDV-KA ticketing microservice solution responsible for creating and maintaining Germany Tickets.

App Development Specialist

IBM CIC — Bern, Switzerland
Developed cloud-based services for a topological data-mapping solution supporting real-time optimization engines. Developed part of a cloud-based planning and ordering system within the SBB infrastructure organization.

Software Development Engineer II

Amazon Web Services (AWS) — Cape Town, South Africa
Designed the regional solution for launching the AWS Support Center Console in the AWS GovCloud region, addressing regional data and encryption constraints. Participated in raising the AWS Support Center program for production release, including release documentation and SDE hiring interviews.

Software Development Engineer I

Amazon Web Services (AWS) — Cape Town, South Africa
Contributed to implementation of support-level logic in the AWS Support Center Console backend. Participated in DevOps projects and an on-call rotation supporting production systems.

Zertifikate

Machine Learning - Stanford Online

Coursera

2019


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