Team Lead Platform Engineering (m/f/d)

As a Team Lead Platform Engineering, you will be responsible for leading a team of engineers focused on building and maintaining the foundational architecture, infrastructure and platforms that support our organization's technology initiatives. You will work closely with stakeholders across the organization to ensure that our technology platforms are reliable, scalable, and secure.

Your responsibilities

• Platform Development: Oversee the design, development, and maintenance of our core infrastructure platforms, including cloud platforms, virtualization environments, and automation tools
• Team Management: Lead and mentor a team of talented engineers, providing guidance, support, and career development opportunities
• Technology Strategy: Collaborate with the Head of Technology, the CTO and other stakeholders to develop and execute the organization's technology strategy, focusing on platform modernization and innovation
• Infrastructure Optimization: Identify opportunities to improve the efficiency, performance, and cost-effectiveness of our infrastructure
• Security and Compliance: Ensure that our infrastructure and platforms meet the highest standards of security and compliance
• Project Management: Manage complex infrastructure projects, from planning and execution to delivery and ongoing maintenance

• Completed IT studies or training as an IT specialist and relevant professional experience
• 5+ years of experience in a technical leadership role, preferably in infrastructure or cloud engineering
• Strong understanding of cloud platforms (preferably Google Cloud Platform) and infrastructure technologies (e.g., virtualization, networking, storage)
• Experience with automation tools (e.g., Terraform, Ansible) and scripting languages (e.g., Python, Bash)
• Experience with DevOps practices and tools
• Proven ability to lead and motivate teams
• Excellent communication and interpersonal skills
• Strong problem-solving and analytical skills

Nice to have

• Knowledge of containerization technologies (e.g., Docker, Kubernetes)
• Experience with data-intensive systems and big data technologies
• Understanding of AI and machine learning concepts
• Ability to integrate AI and machine learning solutions into infrastructure platforms
• Certifications in cloud platforms or infrastructure technologies

Ever wondered how to get AI methods and concepts into daily production?

Our technologies and innovations have strong foundations in various disciplines such as natural language processing, big data, data science, information retrieval and information visualization.

Every day we deliver insights to the largest and most prestigious companies and governmental institutions in DACH and Europe. We’re a global player and our clients trust and rely on ability to identify and compile the most relevant news and information daily.

We are committed to the success of our clients and continuously evolve our systems in close collaboration with our clients. We have a proven track record in research and development, and we participate in publicly funded research projects.

We have two main offices in Cologne and Berlin dealing with IT matters. However, we work as international distributed and interconnected team of IT experts in close relationships with our teammates in software development.