Backend Engineer

• Develop and operate service-oriented Java backends based on Spring Boot in a Kubernetes environment
• Design, document, and version high-performance REST APIs
• Enhance existing integrations, including beA, Microsoft 365, and webhooks
• Contribute to the development of new modules
• Model data, optimize queries, and perform migrations on SQL databases under real-world load conditions
• Assume operational responsibility according to the “you build it, you run it” principle
• Implement observability through logging, metrics, and tracing
• Identify and monitor system capacity limits
• Actively contribute to ISO 27001 compliance through auditability, traceable data flows, and robust access controls
• Work with Java, Spring Boot, Spring Data JPA, Spring Security, Docker, Kubernetes, and CI/CD
• Develop and maintain REST APIs, with asynchronous processing patterns planned for the future
• Use Microsoft Graph API, beA/KSW adapters, webhooks, and n8n
• Use SCA tools, automated unit and integration tests, and quality gates in the pipeline

Senior Backend Developer, Java, Spring Boot

• Build and optimize backend functionality based on Laravel
• Translate business requirements into clean, understandable, and testable code
• Develop and maintain REST and, where applicable, GraphQL APIs
• Integrate and technically evaluate external services, partner systems, and third-party systems
• Ensure high code quality through code reviews, automated testing, refactoring, and clean implementation
• Create and maintain technical documentation for APIs, interfaces, and integrations
• Contribute to the planning, implementation, and improvement of features in an agile environment, including sprint planning and retrospectives
• Analyze and implement new frameworks, libraries, and tools
• Collaborate with the agile team on technical solutions, code quality, and continuous product development
• Take ownership of tasks from solution alignment through deployment

Backend Developer, PHP, Laravel

• Build and evolve systems collecting and maintaining 400M+ creator profiles across Instagram, TikTok, and YouTube
• Keep billions of data points fresh for search, analytics, APIs, and customer-facing products
• Design resilient services handling third-party API instability, rate limits, provider outages, platform changes, and partial failures
• Improve collection coverage and freshness while controlling request, proxy, storage, and compute costs
• Own the full production lifecycle from problem definition and architecture through coding, review, release, monitoring, and iteration
• Build monitoring, observability, and operational safeguards to detect gaps and regressions
• Collaborate with Data Search, Data Insights, product teams, and company leadership
• Participate in system design, indexing dependency work, request-routing reviews, and data-quality improvements

Senior Backend Engineer, Data Core

• Further develop the platform across backend engineering/APIs and data engineering/applied AI
• Guide features from conception through data modeling and implementation to production deployment
• Develop and enhance Python-based backend services
• Design and implement REST APIs, data models, and application logic
• Integrate external services and interfaces
• Further develop data-driven business intelligence tools
• Develop AI-powered analysis and reporting features
• Integrate existing models and LLM APIs into production environments
• Develop proprietary ML models based on domain-specific data
• Build and maintain automated tests and technical documentation
• Support deployments, monitoring, and CI/CD
• Analyze logs and troubleshoot issues in live operations, without on-call or 24/7 duties
• Work closely on product and operations topics

Applied AI, Backend Engineer

• Design and development of an on-premises data platform on Kubernetes
• Development and integration of components for data orchestration, deployment, and platform automation
• Creation of proofs of concept, preferably with the support of AI agent tools
• Implementation of batch and streaming data pipelines as well as platform-related services
• Integration of workloads on Kubernetes and S3-compatible storage solutions
• Evaluation of data catalogs and their integration into the platform
• Close collaboration with lead architects as well as infrastructure and security teams

Data Engineer – Kubernetes

• Develop and enhance internal tools and backend services using Go, NodeJS or TypeScript
• Design, maintain, and optimize PostgreSQL databases, including schema design, migrations, and performance tuning
• Build and maintain data synchronization processes across multiple systems
• Design and optimize agent-first development workflows and CI/CD pipelines using GitLab
• Collaborate closely in a cross-functional team
• Participate in short daily stand-ups and direct communication
• Build clean, maintainable code and scalable architecture

Backend Developer – Go, NodeJS, TypeScript

• Work with Autodesk Fusion’s API to access, manipulate, and visualize manufacturing data
• Develop and operate MCP servers connecting sustainability data services and APIs with Autodesk Fusion and other applications
• Create documentation and tests to support maintainability and scalability
• Participate in design reviews and contribute to UX improvements
• Work with extended teams including UX Design, Research, Product Management, and QA
• Integrate APIs from Autodesk Platform third-party vendors and ensure proper data flow
• Develop features supporting sustainable design and manufacturing, environmental-impact feedback, production optimization, material efficiency, and LCA reporting

Backend Developer – Fusion Sustainability Insights

• Develop and maintain drivers for CrateDB, including JDBC and Python/SQLAlchemy
• Build connections to external tools such as Grafana, Tableau, and Airflow
• Develop and maintain internal administrative tools, including crash CLI and Admin UI
• Improve PostgreSQL compatibility of CrateDB and its ecosystem
• Develop migration tools to and from other database systems and storage formats
• Write and maintain technical documentation, including reference architectures and integration examples
• Work and interact with the open source community and technical partners on joint projects
• Support Product Managers with technical requirements
• Work directly with founding engineers on projects managed on public GitHub
• Contribute to third-party applications and frameworks such as SQLAlchemy, pandas, Dask, Apache Kafka, Flink, Superset, Airflow, and Grafana

Senior Ecosystem Database Engineer

• Design, develop, and optimize sophisticated software solutions in an enterprise environment
• Assume technical responsibility for projects
• Support teams with architecture and technology decisions
• Develop high-performance backend solutions using Python and modern frameworks
• Design scalable, maintainable, and secure software architectures and support their implementation
• Design and implement interfaces for integrating applications and IT landscapes
• Collaborate with customers, Product Owners, and development teams, and provide guidance on technical matters
• Support code reviews, quality assurance, and the introduction of best practices
• Promote knowledge sharing and support the professional development of colleagues
• Support the operation and ongoing development of applications in cloud and/or on-premises environments
• Contribute to the continuous development of technology standards, methods, and processes

Senior Python Developer

• Further development of the backend for DataContentNaicer
• Develop and maintain backend services with Python, including REST and GraphQL APIs
• Integrate and process various data sources and formats, such as JSON, CSV, and XML
• Build and optimize data pipelines and data models, including data cleansing and feature parameter selection
• Collaborate with the frontend team to ensure high-performance, stable, and well-documented APIs
• Write tests and conduct code reviews
• Contribute to an agile team
• Deploy, monitor, and troubleshoot backend components
• Ensure quality assurance of the React frontend

Backend Engineer jobs in Germany