Design and develop modern test automation architectures and scalable frameworks for enterprise applications using AI-supported approaches. Integrate automation into CI/CD pipelines and provide strategic consulting to development teams on quality engineering best practices.
Remote Software Development Jobs (48,591)
Job category = Software Development
Working Student (m/f/d) - Data Analytics & Power BI
Giesecke+Devrient
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Internship
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20 hours ago
Giesecke+Devrient
Develop and maintain Power BI reports, interactive dashboards, and semantic data models. Collaborate with stakeholders to translate business needs into data solutions and ensure data quality and performance.
Design and operate a multi-agent system using GCP's Agent Development Kit to turn marketing data into actionable intelligence. You will own the agent architecture, prompt engineering lifecycle, and the integration of tools like BigQuery and Vertex AI.
The role involves designing and deploying AWS infrastructure, managing microservices, and implementing automation and scripting. You will collaborate with Architecture, QA, and Product teams to develop advanced banking capabilities and maintain system security and monitoring.
Design, implement, and deploy scalable machine learning models and systems to solve complex business problems. This includes developing ML pipelines, curating large datasets for generative models, and collaborating with cross-functional teams.
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Design, develop, and implement AI models and algorithms to optimize business operations and product creation. This includes managing the full lifecycle from architecture design and training to production deployment and continuous improvement.
Design, build, and maintain scalable data pipelines and storage systems using AWS to support analytics and data-driven decision-making. Collaborate with cross-functional teams to ensure data systems meet organizational requirements and promote a culture of continuous improvement.
Design industrial and engine filtration systems, including sheet metal, fabrication, and plastic parts. Coordinate with global engineers to ensure technical objectives and design specifications are met using CAD software.
Own the end-to-end lifecycle of 1-2 AI agents from discovery to delivery within the AI Lab. Collaborate with engineers, designers, and domain experts to scale AI practices and ship high-impact features at a fast cadence.
Develop and maintain scalable Python applications and RESTful APIs using frameworks like FastAPI or Django. Design and implement generative AI chatbot applications and optimize Retrieval Augmented Generation (RAG) systems.
The role involves gathering and documenting business and user requirements to transform ideas into scalable product solutions. You will collaborate with cross-functional teams to define workflows, manage product documentation, and ensure alignment throughout the development lifecycle.
The role focuses on troubleshooting software applications and providing technical support to maintain low resolution times and high customer service levels. Responsibilities include monitoring application performance, developing technical documentation, and implementing software enhancements.
Collaborate within an Agile team to design, develop, and deliver scalable full-stack features using Java and Vue.js. Maintain high-quality code through automated testing and support the resolution of escalated technical issues.
Design, build, and scale core macOS security technologies to power endpoint protection. Research emerging threats and develop high-performance features to enhance detection capabilities.
Analyze banking transactions to detect and prevent fraud using graph-based transactional analysis and ML models. Develop production-ready Python code and integrate fraud detection algorithms into the company's protection platform.
Design and develop scalable technical solutions for GitHub's billing and payment systems. Provide technical leadership and mentorship while owning the health and quality of production systems.
Design, implement, and optimize enterprise-scale customer data solutions using Salesforce Data Cloud to enable Customer 360 and AI-driven insights. Act as a bridge between business strategy and technical execution across Marketing, Sales, and IT teams.
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Design, build, and operate production-grade Generative AI solutions, including LLM applications and AI agents, within the Microsoft Azure ecosystem. Integrate these AI capabilities into enterprise platforms to automate business processes and improve service delivery.
Supervise and direct software development services to ensure profitability, quality, and timely delivery according to client agreements. Lead pre-sales activities and manage the operational coordination of technical teams and project managers.
AI Infrastructure Engineer / AI Infrastructure Consultant
Version 1
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Full Time
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20 hours ago
Version 1
Architect and implement scalable infrastructure for AI/ML workloads, including Kubernetes-based platforms and MLOps pipelines. Lead security-first design and leverage AI coding agents to accelerate the development of production-grade AI systems.
Business Developer – Académie & Écosystème Experts (H/F)
Mezaelle
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Full Time
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20 hours ago
Mezaelle
Lead the Academy Business Unit by defining growth strategies and building an ecosystem of high-value experts. Responsible for developing strategic partnerships, structuring the service offering, and driving overall revenue growth.
Design, implement, and optimize customer service solutions on the Salesforce Service Cloud platform. Collaborate with stakeholders and architects to align technical builds with enterprise service processes and customer experience goals.
Provide technical leadership and architectural guidance to Fortune 500 customers for the design and implementation of big data projects. Architect production-level workloads and deliver training sessions to promote community adoption of the Databricks platform.
Senior Software Engineer, Platform & Infrastructure (all genders)
SYNAOS GmbH
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Full Time
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20 hours ago
SYNAOS GmbH
Responsible for the scalability, security, and efficiency of the cloud infrastructure, specifically managing Kubernetes clusters and AWS environments. The role involves developing custom operators, maintaining observability stacks, and mentoring other engineers.
The role involves developing and maintaining web-based platforms for supply chain and sustainability management across both frontend and backend. Responsibilities include defining new software modules, conducting code reviews, and collaborating with interdisciplinary teams to ensure technical excellence.
CUSTOMER SUPPORT ENGINEER (M/W/D)
Wilken Software Group
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Full Time
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20 hours ago
Wilken Software Group
The role focuses on managing complex customer inquiries via an asynchronous, ticket-based system without phone support. Responsibilities include diagnosing technical errors, optimizing support playbooks, and collaborating with product teams to identify product gaps.
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Build and operate a model-serving platform and take end-to-end ownership of ML systems from requirement gathering to production monitoring. Collaborate with customers to develop scalable AI solutions and optimize inference APIs for performance and GPU utilization.
Lead AI Consultant w/m/d
Computacenter AG & Co. oHG
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Full Time
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21 hours ago
Computacenter AG & Co. oHG
Lead the AI Solution Group to develop a marketable AI portfolio and strategic roadmap. Support sales teams in high-level AI opportunities and manage strategic partnerships with vendors like Microsoft and Cisco.
Manage and develop the sales business in the Norrland region, handling the entire sales process from prospecting to long-term account management. Act as a technical advisor to help customers improve operational reliability, efficiency, and quality through industrial automation solutions.
Presales Engineer – Solutions & Architecture
Modirum Platforms
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Full Time
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21 hours ago
Modirum Platforms
Lead technical pre-sales activities by designing end-to-end solution architectures and conducting customer workshops and PoCs. Act as the primary technical advisor bridging the gap between customer requirements and product capabilities.
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