Snowflake
Senior Engineering Manager - Query Execution Platform(m/w/x)
Vollzeitnur vor OrtManagement
Berlin
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SNSnowflake
Engineering Manager Performance(m/w/x)
Berlin
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Building software for multi-cloud fleet performance on a cloud data platform, developing distributed frameworks for hyperscale operations. Proven background in distributed systems, large-scale infrastructure, or performance engineering essential. Focus on advanced hardware validation and adaptive scheduling for multi-cloud environments.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- Python
- C++
- Java
- Go
- Kubernetes
- Borg
- Mesos
- Volcano
- Kueue
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snowflake erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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- Scale AI
Forward Deployed Engineering Manager, GenAI Applications(m/w/x)
Vollzeitnur vor OrtManagementBerlin - Trade Republic
Staff Engineer – Cloud Platform(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Snowflake
Senior Engineering Manager(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Perplexity AI
Search Rust Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin
SNSnowflake
Engineering Manager Performance(m/w/x)
Berlin
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Building software for multi-cloud fleet performance on a cloud data platform, developing distributed frameworks for hyperscale operations. Proven background in distributed systems, large-scale infrastructure, or performance engineering essential. Focus on advanced hardware validation and adaptive scheduling for multi-cloud environments.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- Python
- C++
- Java
- Go
- Kubernetes
- Borg
- Mesos
- Volcano
- Kueue
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snowflake erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Snowflake
Branche
IT
Beschreibung
The company develops a cloud data platform that combines data warehousing, big data flexibility, and cloud elasticity.
Noch nicht perfekt?
- Snowflake
Senior Engineering Manager - Query Execution Platform(m/w/x)
Vollzeitnur vor OrtManagementBerlin - Scale AI
Forward Deployed Engineering Manager, GenAI Applications(m/w/x)
Vollzeitnur vor OrtManagementBerlin - Trade Republic
Staff Engineer – Cloud Platform(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Snowflake
Senior Engineering Manager(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Perplexity AI
Search Rust Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin