Why This Job is Featured on The SaaS Jobs
This Engineering Manager, Performance role sits at a core SaaS problem: making a multi-tenant, cloud-delivered data platform predictable at scale. Snowflake operates in the “data cloud” category where customer experience is tightly coupled to infrastructure efficiency, and the remit spans compute, storage, and hardware behavior across AWS, Azure, and GCP. That combination places the work close to the economic engine of SaaS—reliability, throughput, and unit cost—rather than feature delivery alone.
From a SaaS career perspective, the role builds durable leverage in platform engineering: telemetry-driven performance work, regression detection, and capacity-aware optimization that translate across any high-scale subscription product. Leading a team that partners with finance and cloud providers also develops the cross-functional fluency increasingly expected of senior engineering leaders in SaaS, where cost-to-serve and performance are managed as product constraints.
This position is best suited to an experienced manager who still enjoys deep systems problem-solving and can guide technical direction without losing sight of operational outcomes. It will fit someone motivated by measurement, benchmarking, and iterative improvement, and who prefers work where influence comes through infrastructure roadmaps, stakeholder alignment, and engineering craft at hyperscale.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
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.
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
