
11 - 50 employees
Founded 2007
🔒 Cybersecurity
🤝 B2B
🏢 Enterprise
Cybersecurity • B2B • Enterprise
sedevo IT Consulting GmbH is a German IT consulting firm specializing in secure software development, DevSecOps and enterprise cybersecurity. The company provides application security audits, penetration testing, security monitoring/SIEM managed services, cloud architecture and migration, data engineering and analytics, and compliance support for regulations like NIS2, ISO standards, and financial-sector requirements. sedevo positions itself as a partner to build resilient, secure IT and data platforms, offering services such as vCISO, awareness training, and certification support.
🕒 March 16
🗣️🇩🇪 German Required
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2007
🔒 Cybersecurity
🤝 B2B
🏢 Enterprise
Cybersecurity • B2B • Enterprise
sedevo IT Consulting GmbH is a German IT consulting firm specializing in secure software development, DevSecOps and enterprise cybersecurity. The company provides application security audits, penetration testing, security monitoring/SIEM managed services, cloud architecture and migration, data engineering and analytics, and compliance support for regulations like NIS2, ISO standards, and financial-sector requirements. sedevo positions itself as a partner to build resilient, secure IT and data platforms, offering services such as vCISO, awareness training, and certification support.
• With your technical expertise you will accompany the entire development process: from requirements gathering through architecture and implementation to production operation. • In interdisciplinary teams with clients, colleagues and partners you will develop well-founded and sustainable solution approaches. • Regular training and expanding your own skills, including beyond your core area, are part of your daily work. • You will design and implement scalable Data-Lakehouse solutions (e.g. on Databricks) in close collaboration with business and IT stakeholders. • You select appropriate approaches: from classical Machine/Deep Learning to Large Language Models (LLMs) and agent systems, and integrate models into existing data and application landscapes. • You plan and implement data platforms and AI workloads in private and, where applicable, hybrid cloud environments, taking data privacy, compliance and regulatory requirements into account.
• Familiarity with terms such as Data Lakehouse, batch and streaming pipelines, automation, orchestration, validation and data modelling — not only in theory but from hands-on project experience. • Relevant experience with Databricks and Apache Spark. • Experience modelling complex data structures and working with different database technologies. • Practical experience in developing and integrating AI models, ideally in production systems. • Solid understanding of how AI applications are operated in private cloud environments. • Interest in topics such as Explainable AI, agent systems, AI in data engineering, digital sovereignty, and Data/AI governance and compliance — ideally with some practical experience. • Treat Data and AI workloads like software products: versioning (code, data, models), reproducible pipelines, testing and monitoring are part of your practice. • Ability to navigate a complex technological environment and to continuously provide new impulses. • Ideally you have experience working in agile projects (e.g. Scrum). • Fluent German and good English skills.
• Fully remote possible — occasional visits to Stuttgart or Leipzig. • Your contribution is in demand across different topics without the rigid structures of a large corporation. • A friendly working atmosphere, home office, public transit pass (JobTicket) or company bike (Job-Rad), fitness subsidy and regular company and team-building events. • A platform to propose ideas, implement them and take on responsibility. • Enough time for friends, family and, above all, yourself — with minimal travel requirements. • Multiple career paths to suit different ambitions. • All the advantages of a small company where every employee is valued and individual contributions matter. • Diverse projects with our clients that provide insights into many different corporations and industries.
Apply Now🕒 March 9
Lead Machine Learning Engineer at Janea Systems designing scalable machine learning systems. Collaborating with global teams in a remote-first company to deliver AI solutions for enterprise clients.
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Python
PyTorch
Tensorflow
🕒 February 25
ML Engineer role focused on incubating and validating ML initiatives. Building prototypes and collaborating with Research and Data Engineering teams in Germany.
🗣️🇩🇪 German Required
Kubernetes
Python
PyTorch
🕒 February 25
ML Engineer collaborating on deploying models for the Orcrist Intelligence Platform. Focused on MLops and model performance in Kubernetes environments.
🗣️🇩🇪 German Required
Grafana
Kafka
Kubernetes
Prometheus
Python
PyTorch
TypeScript
🕒 December 17, 2025
Founding ML Engineer helping to build AI models at Flower Labs. Work on decentralized methods and contribute to impactful technical projects.
Distributed Systems
Docker
Linux
Node.js
Python
PyTorch
🕒 December 2, 2025
Machine Learning Engineer III leading the design, development, and delivery of ML systems for routing costs at Mapbox. Collaborating with a large team to innovate navigation technology.
Airflow
Cloud
Hadoop
Python
Spark