AIoT Fullstack Developer

Concept Reply GmbH

. Take technical responsibility for software solutions .

Posted 10/3/2026full-timeMunich • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software development with a focus on AIoT solutions, utilizing programming languages such as JavaScript, Java, Python, and frameworks like Spring and React. Proficient in machine learning technologies and cloud platforms, with strong collaboration and mentoring skills.

Highest-signal resume keywords

Software DevelopmentJavaScriptMachine LearningCloud TechnologiesMentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaJava EEPythonNode.jsTypeScriptSpringExpressReactTensorFlowPyTorch

Soft Skills

CollaborationMentoringTeam Spirit

Tools & Technologies

DockerKubernetesAzureAWS

Industry Keywords

AIoTSoftware Development Life CycleAgileGenerative AIScikit-learn

Tech Stack

Tools & technologies

AWSAzureCloudDockerJavaJavaScriptKubernetesNode.jsPythonPyTorchReactScikit-LearnSDLCSpringTensorflowTypeScript

About the role

Key responsibilities & impact

Take technical responsibility for software solutions
Contribute to the planning and development of AIoT software solutions
Collaborate with colleagues in agile teams on challenging concepts and architectures
Support the entire software development life cycle, from proof of concept to a fully operational product
Continuously support and integrate new functionalities
Contribute to the ongoing development of the company culture and team spirit
Mentor new colleagues

Requirements

What you’ll need

Successfully completed degree in Computer Science, Mathematics, Physics, or a comparable field of study
Several years of experience in software development
Extensive expertise in either backend or frontend development
Relevant knowledge of JavaScript, Java, Java EE, Python, Node.js, and TypeScript
Experience with frameworks such as Spring, Express, and React
Experience in machine learning or generative AI, including TensorFlow, PyTorch, scikit-learn, and LLMs
Practical experience with Docker and Kubernetes
Experience with cloud technologies such as Azure or AWS
Fluent written and spoken English and German
Willingness to travel occasionally

Benefits

Comp & perks

Modern, hybrid working environment (remote and office-based) in high-end offices
Individual and structured professional development opportunities, both internal and external
Modern working environment within an innovative and international team
Flat hierarchies and a strong culture of trust and feedback
Regular events such as meetups, summits, and social gatherings
Sports and health benefits through EGYM Wellpass
Mentoring and coaching, as well as a good work-life balance