Description

As an Engineering Manager, you will lead a team focused on enhancing system performance across multi-cloud environments. You will mentor engineers and collaborate with various teams to optimize resources and drive technical excellence.

Requirements

• •8+ years of hands-on software engineering experience
• •2+ years managing engineers
• •Proven background in distributed systems, large-scale infrastructure, or performance engineering
• •Deep understanding of modern cloud hardware affecting system performance
• •Experience with performance analysis tools, telemetry systems, and scalable monitoring frameworks
• •Proficiency across multiple cloud environments (AWS, Azure, GCP)
• •Strong coding background (Python, C++, Java, or Go)
• •Fluency in distributed systems concepts
• •Ability to debug complex interactions between software and hardware
• •Excellent communication and leadership skills
• •Experience with workload benchmarking, fleet modeling, or predictive performance analysis
• •Exposure to large-scale compute scheduling systems (Kubernetes, Borg, Mesos, Volcano, Kueue)
• •Familiarity with modern processor and GPU architectures and their performance profiles
• •Contributions to open-source infrastructure or performance-engineering tools

Tasks

• •Guide a team in building software to measure and improve system performance across multi-cloud fleets
• •Develop distributed performance frameworks and profilers for hyperscale operations
• •Collaborate on adaptive scheduling, placement, and resource management systems
• •Partner with capacity and hardware engineering to validate new instance types and GPUs
• •Shape the roadmap for benchmarking, telemetry, and performance regression detection
• •Translate hardware and kernel-level insights into optimizations for distributed systems
• •Contribute to the design of scalable services for new processor generations and storage technologies
• •Mentor engineers in creating high-impact systems and fostering a performance-engineering culture
• •Encourage collaboration and curiosity in low-level system design and distributed architectures
• •Help shape engineering practices in Berlin to build a team known for precision and impact
• •Work with product, infrastructure, and finance teams to optimize cost and utilization
• •Engage with cloud providers to evaluate hardware roadmaps and performance characteristics
• •Communicate key insights and results to leadership and cross-functional stakeholders

Tools & Technologies