Senior Staff Software Engineer, Kubernetes ML Experience

Key Skills

Algorithms, Data structuring, Deep Learning, Distributed systems, JAX framework, Kubeflow, Kubernetes-K8s, Machine learning techniques, MLflow, Open source project tools, PyTorch, Ray.io, Software Development, TensorFlow

Job Description

Senior Staff Software Engineer, Kubernetes ML Experience role at Seattle, WA, USA office.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience as a contributor to Kubernetes or other open source projects.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 10 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 4 years of experience with Machine Learning Infrastructure (e.g., GPU, cloud TPU), or deep learning frameworks (e.g., TensorFlow, PyTorch, JAX), algorithms and tools (e.g., Kubeflow, Ray.io, MLflow).
• 3 years of experience working in a complex, matrixed organization involving cross-functional and/or cross-business projects

About the job

Kubernetes is a portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support and tools are widely available. Kubernetes builds upon experience that Google has with running production workloads at scale, combined with ideas and practices from the community. Google Kubernetes Engine (GKE) is a hosted version of Kubernetes running on Google Cloud Platform providing extra layer of automation and zero development operations to allow for frictionless use. In this role, you will be a visionary, execution-focused technical leader to help shape the future of cloud computing and to help us expand our effort. You will be building cutting-edge cloud technology that is already powering a number of the companies and customers of Google Cloud worldwide.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $218,000-$326,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Responsibilities

• Set team vision, technical direction, architectural approach, and execution, and be accountable for success of complex projects.
• Collaborate with key stakeholders and partners in multiple areas of the Google Cloud organization.
• Collaborate with other technical leaders working on shaping Kubernetes product within Google and within the open source community worldwide. Contribute to product and project strategy, roadmap definition, and requirements gathering.
• Provide technical leadership and mentorship to the team and develop collaborative relationships with key technical partner teams.