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As a Cloud Engineer, you will leverage a diverse set of tools and skills to maintain, enhance, and extend our cloud infrastructure. You will be a key member of the cloud team, contributing to building CI/CD pipelines, automating processes, and designing scalable infrastructure. Your role will focus on improving our modern architecture, security, and scalability of the platform to drive efficiency and speed while ensuring stability and functionality. Requirements A degree in any field, or a BSc in any technology discipline. Years of experience in Cloud/DevOps. Familiarity with the AWS cloud landscape. Experience with Linux, Containers, and Kubernetes. Knowledge or experience with networking concepts. Infrastructure as code. (e.g: with Terraform) Hands-on experience managing or deploying an observability stack or monitoring system. Basic coding skills to write smaller scripts. A positive mindset and a strong drive to fix issues and unblock your teammates. A willingness to pick up and learn new tools and technologies to solve tasks effectively. You have definite opinions and aren’t afraid to voice them, while also being open to listening and collaborating with others. A sense of responsibility for the quality of your work and its impact on others. Passion for cloud technologies, Kubernetes, and containers. A go-getter attitude, with the ability to take ownership of new fields and embrace challenges to solve complex problems. Flexibility, curiosity, and a drive to make an impactful contribution. Benefits Say goodbye to monotonity: you will have the chance to face various situations, challenges and technologies instead of insisting on the ordinary and avoiding change Supported trainings and conferences, certificate and exam support, subscription to professional sites, monthly knowledge coffee sessions, dedicated mentor and learning tricks from senior colleagues. Hybrid working with 3 days of home office opportunity Promotion opportunities with yearly salary review E-scooters to support your travel to work Modern technologies & equipment, and an awesome downtown office to make you feel comfy during office hours and beyond Freedom of decisions and creativity: you are welcome to use your creativity and share your ideas, and become an active creator of processes Friendly, open, and respectful work environment where your opinion matters Other benefit to SZEP card

As a Backend Engineer, you will have a key role in designing, developing, and maintaining integration solutions that connect various systems and applications within our organization and with our customers. You will work closely with cross-functional teams and directly with customers to ensure seamless data flow and interoperability between systems. Requirements Responsibilities • Troubleshoot and resolve technical issues promptly. • Design and implement integration solutions to connect different systems and applications, both internally and with customer systems. • Develop and maintain APIs, middleware, and other integration components. • Collaborate with development, operations, and commercial teams to understand integration requirements. • Work directly with customers to implement communication protocols and ensure successful integration. • Ensure data integrity and consistency across systems. • Document integration processes and solutions. • Monitor and optimize the performance of integration solutions. • Improve CI/CD processes and flows across different tasks • Find ways to improve workflow via automation Who you are • Bachelor's degree or higher in either Computer Science, Information Technology, or a relevant engineering discipline. • 2+ Years of proven experience in an integration engineering or similar role. • Strong knowledge of integration technologies and tools (e.g. REST, SOAP, ESB, ETL). • Experience in Java and Spring Boot • Familiarity with cloud platforms (e.g., AWS), microservices architecture and containerization (e.g. Docker). • Customer-facing experience and strong interpersonal skills. • Excellent problem-solving and analytical skills. • Strong communication and teamwork abilities. • Ability to work in a fast-paced and dynamic environment. Benefits • Say goodbye to monotonity: you will have the chance to face various situations, challenges and technologies instead of insisting on the ordinary and avoiding change • Supported trainings and conferences, certificate and exam support, subscription to professional sites, monthly knowledge coffee sessions, dedicated mentor and learning tricks from senior colleagues. • Hybrid working with 3 days of home office opportunity • Promotion opportunities with yearly salary review • E-scooters to support your travel to work • Modern technologies & equipment, and an awesome downtown office to make you feel comfy during office hours and beyond • Freedom of decisions and creativity: you are welcome to use your creativity and share your ideas, and become an active creator of processes • Friendly, open, and respectful work environment where your opinion matters • Other benefit to SZEP card

As an AI Solutions Explorer, you will work on applying open-source AI models to transform business processes. You'll combine your passion for open AI technology with a curious mindset to discover innovative solutions. In this growth-oriented role, you'll develop into an expert in translating business challenges into practical applications using open-source AI agents. If you are eager to acquire new knowledge about AI development and enthusiastic about the possibilities of locally hosted, privacy- conscious AI solutions don’t hesitate to apply. General Tasks Explore and evaluate new open source AI models such as Llama, Mistral, Falcon and their potential applications Contribute to mapping business processes that could benefit from open source AI agents Develop prototypes and proof-of-concepts with locally running AI models Fine-tune and adapt open source models for specific business applications Support user interviews to identify needs and pain points Contribute to knowledge sessions about open source AI capabilities and implementations Document best practices around working with self-hosted AI solutions Requirements Demonstrable experience with open source AI models such as Llama, Mixtral, Falcon or similar models Familiar with tools like LangChain, Ollama, LlamaIndex or similar frameworks Basic knowledge of setting up, fine-tuning and deploying open source LLMs Experience with optimizing prompts for specific applications Understanding of the pros and cons of open source versus closed-source AI solutions Experience with containerization (Docker) and infrastructure for running AI models is a plus Good communication skills to explain technical concepts in an understandable way Benefits Say goodbye to monotonity: you will have the chance to face various situations, challenges and technologies instead of insisting on the ordinary and avoiding new change Supported trainings and conferences, certificate and exam support, subscription to professional sites, monthly knowledge coffee sessions, dedicated mentor and learning tricks from senior colleagues Room to experiment with the latest open-source models Opportunity to contribute to the open-source AI community Chance to grow into a more specialized or leadership role Work on meaningful projects that create real business value with privacy-conscious AI solutions Hybrid working with 3 days of home office opportunity Promotion opportunities with yearly salary review E-scooters to support your travel to work Modern technologies & equipment, and an awesome downtown office to make you feel comfy during office hours and beyond Freedom of decisions and creativity: you are welcome to use your creativity and share your ideas, and become an active creator of processes Friendly, open, and respectful work environment where your opinion matters Cafeteria