Engineering Manager Performance

About Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI‑native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high‑trust collaborator that is core to how you solve problems and accelerate your impact. We look for low‑ego individuals who thrive in dynamic and fast‑moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Drive the Future of the Data Cloud

Snowflake is redefining how the world mobilizes data. To sustain our rapid growth, we need infrastructure that is as intelligent and efficient as the platform we deliver to customers. Within our Platform & Infrastructure Engineering organization, the Capacity, Performance & Efficiency (CPE) team ensures Snowflake’s compute and storage layers run at peak performance—maximizing reliability, throughput, and cost efficiency across all major clouds.

We’re looking for an Engineering Manager to lead the CPE Performance team in Berlin. This group builds systems that measure, model, and optimize the performance of Snowflake’s distributed infrastructure—spanning CPU, memory, and storage hardware across AWS, Azure, and GCP. Your work directly influences how Snowflake scales globally and how efficiently our workloads run on next‑generation hardware.

What You’ll Do

Lead Engineering Execution

• Guide a team building software that continuously measures and improves system performance across multi‑cloud fleets.
• Develop distributed performance frameworks and profilers that operate at hyperscale.
• Collaborate on adaptive scheduling, placement, and resource management systems that improve efficiency and predictability.
• Partner with capacity and hardware engineering to validate new instance types, GPUs, and compute generations for optimal performance.

Drive Technical Excellence

• Shape the roadmap for benchmarking, telemetry, and performance regression detection.
• Translate hardware and kernel‑level insights into distributed‑system optimizations.
• Contribute to the design of scalable services that keep Snowflake performant as we adopt new processor generations, accelerators, and storage technologies.

Grow & Empower the Team

• Mentor engineers in building high‑impact systems and developing a strong performance‑engineering culture.
• Foster collaboration and curiosity around low‑level system design and large‑scale distributed architectures.
• Help shape engineering practices in Berlin, building a team known for precision, speed, and impact.

Collaborate Across Snowflake

• Work with product, infrastructure, and finance teams to optimize cost and utilization.
• Engage directly with cloud providers to evaluate hardware roadmaps and performance characteristics.
• Communicate key insights and results to leadership and cross‑functional stakeholders.

Our Ideal Candidate

Experience

• 8+ years of hands‑on software engineering experience, including 2+ years managing engineers.
• Proven background in distributed systems, large‑scale infrastructure, or performance engineering.
• Deep understanding of how modern cloud hardware (CPU generations, GPUs, accelerators, networking, storage) affects system performance.
• Experience with performance analysis tools, telemetry systems, and scalable monitoring frameworks.
• Proficiency across multiple cloud environments (AWS, Azure, GCP).

Skills

• Strong coding background (Python, C++, Java, or Go).
• Fluency in distributed systems concepts—scheduling, orchestration, data locality, and resource isolation.
• Ability to debug complex interactions between software and hardware.
• Excellent communication and leadership skills; capable of guiding both technical direction and people growth.

Preferred Qualifications

• Experience with workload benchmarking, fleet modeling, or predictive performance analysis.
• Exposure to large‑scale compute scheduling systems (Kubernetes, Borg, Mesos, Volcano, Kueue, etc.).
• Familiarity with modern processor and GPU architectures and their performance profiles.
• Contributions to open‑source infrastructure or performance‑engineering tools.

Why Join Us

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com.