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Software Engineering Manager II, AI/ML, Google Cloud Compute
Engineering Manager
Lead a team of AI/ML engineers building scalable machine learning services on Google Cloud Compute, driving architecture, delivery, and cross‑functional collaboration.
About the role
Key Responsibilities
- Lead, mentor, and grow a high‑performing team of software engineers focused on AI/ML workloads.
- Define and execute the technical roadmap for AI/ML services on Google Cloud Compute, ensuring scalability, reliability, and performance.
- Collaborate with product managers, data scientists, and infrastructure partners to translate business requirements into robust engineering solutions.
- Architect and implement cloud‑native solutions using Google Cloud Platform services, Kubernetes, and CI/CD pipelines.
- Drive best practices in code quality, testing, monitoring, and security across the team.
Requirements
- 5+ years of software engineering experience with a focus on AI/ML, including production‑grade model deployment.
- Strong proficiency in Python and TensorFlow (or comparable ML frameworks).
- Hands‑on experience designing and operating large‑scale systems on Google Cloud Platform and Kubernetes.
- Proven leadership experience managing engineering teams, fostering collaboration, and delivering complex projects.
- Excellent problem‑solving and communication skills, with the ability to influence cross‑functional stakeholders.
Skills
pythontensorflowkubernetesmachine learning