Remote Software Development Jobs in Germany
Browse 3,122 remote software development jobs in Germany, with 235 added this week. Pay averages US$102,339 a year. Open roles include Software Engineer, Architect and Full Stack Developer.
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Contribute to the development of an AI-powered DevSecOps platform. Incorporate AI into daily workflows to drive efficiency and innovation in software development.
Contribute to the development and security of an AI-powered DevSecOps platform. Focus on driving efficiency and innovation by incorporating AI into daily security workflows.
The role involves contributing to the development and maintenance of an AI-powered DevSecOps platform. The engineer will focus on security incident response (SIRT) to protect the organization and its users.
The role involves contributing to the development and maintenance of an AI-powered DevSecOps platform. The engineer will focus on ensuring system reliability and incorporating AI into daily workflows to drive efficiency.
The role involves designing and implementing solutions using GitLab's AI-powered DevSecOps platform. The architect will help organizations integrate AI into their software development workflows to drive efficiency and innovation.
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Provide technical support for an AI-powered DevSecOps platform to help organizations co-create software. Collaborate with industry leaders to solve complex problems and drive efficiency using AI tools.
The role involves communicating the value of the Quantexa Decision Intelligence Platform to public sector prospects in the DACH region. Key duties include managing the technical sales cycle, delivering tailored product demonstrations, and executing Proof of Concepts.
Implement, roll out, and optimize Citrix infrastructures and virtualization environments for medium and enterprise customers. Perform 3rd level troubleshooting, image management, and configuration of NetScaler/ADC to ensure stable operations.
Lead the development and scaling of a passwordless, zero-trust digital identity platform. Take ownership of complex systems and collaborate in a high-accountability environment.
Implement customer-specific requirements and develop front-end and back-end applications within S/4HANA projects. Provide end-to-end support across the software development lifecycle and offer technical consulting on SAP development topics.
Design and implement scalable frontend solutions to enhance user experiences while participating in architectural discussions. Collaborate with agile teams to develop, test, and maintain high-quality code standards for a high-scale web environment.
Design and build AI-powered operational tools and workflow applications to support care delivery in rural clinics. Collaborate with clinical teams and product managers to translate operational challenges into scalable technical solutions.
Implement and configure Salesforce solutions and integration platforms like Magicxpi in collaboration with project teams and customers. Develop technical solution designs and serve as the primary technical point of contact for clients.
Review and critique AI-generated scientific content to ensure technical accuracy and rigor. Create and refine real-world scenarios and problem sets to guide AI in understanding domain-specific concepts.
Operate and maintain Solana validator nodes to ensure stability, security, and high performance. Automate node deployment and operations using Ansible and Terraform while collaborating with traders and partners.
Lead high-performing engineering teams to deliver scalable cloud, platform, and automation initiatives for clients. Combine technical leadership with people management to drive operational excellence and successful project delivery.
Develop and implement corporate architecture and strategies in collaboration with international teams and management. Analyze existing systems to create innovative software solutions while ensuring compliance with regulatory requirements and engineering standards.
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The role involves the conception and development of a banking platform using a scalable and secure microservice architecture. The engineer will implement integration and E2E tests to deliver innovative features for business customers.
Build and scale core services for a unified observability ecosystem covering logs, metrics, traces, and alerting. Focus on high-volume telemetry ingestion, distributed storage, and AI-assisted troubleshooting to support a global AI cloud platform.
Act as the primary contact for daily IT issues, managing the full ticket lifecycle from capture to resolution. Responsible for maintaining MDM, identity management, productivity tools, and optimizing business processes through SaaS automation and API integrations.
Design and implement AI-driven workflows and a modular automation platform to scale efficiency across various company departments. Collaborate with the CEO and CTO to integrate state-of-the-art models and reasoning chains into the core infrastructure.
Own product initiatives end-to-end from problem definition and specification to deployment and measurement. Build scalable backend services and APIs to improve the provisioning and operation of blockchain infrastructure.
Act as the security focal point for B2B products, ensuring secure development through threat modeling and security reviews. Lead the implementation of robust authentication, SSO, and secure coding guidelines across the engineering lifecycle.
Operate and further develop networking within Kubernetes clusters, focusing on the configuration and troubleshooting of CNI solutions. Collaborate with infrastructure and network teams to build scalable cloud and data center solutions.
Responsible for the secure implementation and development of AI technologies, focusing on LLM-based workflows and Generative AI solutions. This includes conducting threat modeling, risk analyses, and establishing secure AI-by-design principles across the organization.
The role focuses on securing AI systems, Generative AI solutions, and LLM-based workflows by defining security standards and conducting risk assessments. You will implement automated security controls within DevSecOps and MLOps pipelines while advising teams on the compliant use of AI technologies.
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Train and fine-tune generative models for photorealistic visuals and manage the iterative improvement process for CV outputs. Track cutting-edge research to develop a CV roadmap and optimize inference performance through quantization and framework-level work.
Ensure the stable, secure, and performant operation of the SAP system landscape, including On-Premise and BTP environments. This includes designing integration architectures, leading the internal SAP Basis team, and managing external service providers.
Design and implement integration projects and scalable API strategies within complex enterprise architectures. Develop AI-supported end-to-end processes and establish best practices for intelligent automation.
Design and implement secure foundations and automation tooling to embed security into the platform and developer workflows. Manage cloud security platforms, harden containerized workloads, and automate compliance evidence collection for frameworks like PCI DSS and ISO 27001.
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The average salary for remote software developers in Germany is $102,339 per year. This is based on data from 41 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Junior2–5 years | 4 | $133,250 |
| Senior5–10 years | 32 | $95,681 |
| Lead10+ years | 4 | $130,899 |
The typical salary for remote software developers in Germany is €83,400 per year. This is based on data from 76 job openings that list pay in EUR. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Typical salary |
|---|---|---|
| Junior2–5 years | 22 | €78,300 |
| Senior5–10 years | 49 | €85,000 |
| Lead10+ years | 5 | €106,000 |
We reviewed 536 job postings for remote software developers in Germany and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 32% |
| Kubernetes | 17% |
| CI/CD | 16% |
| TypeScript | 13% |
| Stakeholder management | 13% |
| SQL | 13% |
| AWS | 11% |
| Docker | 11% |
| Terraform | 11% |
| Observability | 10% |
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