Senior Software Engineering Manager, Google Kubernetes Engine
Firma: Google
Lokalizacja: Warsaw, Poland
Keywords: customer, implements, partner, ai/ml engineering experts, field, google, google cloud customers, ml, the ai-driven gke components, implement, - partner, software, - operationalise ai models, engineering, design, kubernetes, managers, expert, engineers, team
Opis stanowiska
- Manage a Software Engineering team that builds, designs, implements and maintains components of Google Kubernetes Engine.
- Work with Product Managers and Field Engineers to determine the key infrastructure needs of Google Cloud customers to onboard their OnPremises systems to Cloud.
- Partner with Data Science and AI/ML Engineering experts on the AI-driven GKE components.
- Manage a Software Engineering team that builds, designs, implements and maintains components of Google Kubernetes Engine.
- Operationalise AI models into enablement of the existing GKE software stack.
Podstawowe kwalifikacje
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experience in a technical leadership role; overseeing projects.
- 5 years of experience in a people management, supervision/team leadership role.
Preferowane kwalifikacje
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience with the design, development and maintenance of software with uses embedded AI models as core function.
- Experience working in a matrixed organization.
Zakres obowiązków
- Manage a Software Engineering team that builds, designs, implements and maintains components of Google Kubernetes Engine.
- Work with Product Managers and Field Engineers to determine the key infrastructure needs of Google Cloud customers to onboard their OnPremises systems to Cloud.
- Partner with Data Science and AI/ML Engineering experts on the AI-driven GKE components.
- Manage a Software Engineering team that builds, designs, implements and maintains components of Google Kubernetes Engine.
- Operationalise AI models into enablement of the existing GKE software stack.