Engineering Manager

Who you are

• 3+ years of experience leading software engineering teams
• Strong prior experience as a hands-on software engineer
• Experience building and operating large-scale backend or distributed systems
• Experience building and operating scalable software systems
• Strong software engineering background; experience with modern programming languages and development practices
• Experience improving engineering quality, reliability and operational practices
• Proven ability to deliver complex cross-team initiatives with multiple stakeholders
• Passion for coaching engineers and building high-performing teams
• Experience driving adoption of modern AI development practices within engineering teams is highly desirable

What the job involves

• As an Engineering Manager, you will lead a cross-functional engineering team that builds and operates scalable, reliable software products
• You will combine people leadership with strong technical judgement, working closely with Product and other partners to turn priorities into meaningful customer and business outcomes
• Lead, coach and develop a high-performing engineering team
• Partner closely with Product to define priorities and successfully deliver the roadmap
• Drive technical excellence, engineering quality and operational maturity
• Lead architecture and technical discussions across multiple teams
• Drive strong engineering practices across delivery, quality, security, reliability and operational excellence
• Improve system reliability, scalability and performance for a business-critical platform
• Coordinate complex initiatives involving multiple engineering teams and external dependencies
• Foster a strong engineering culture focused on ownership, collaboration and continuous improvement
• Contribute to engineering-wide initiatives across AutoScout24 Group
• Operate at a high level of efficiency using modern AI-assisted development tools
• Coach engineers on adopting AI to improve software quality and delivery speed
• Act as a role model for effective AI usage across engineering and leadership activities
• Identify opportunities to integrate AI throughout the software development lifecycle
• Support the team’s AI maturity and adoption over time