Senior Tech Leader, SecOps Data Platform & AI

Google; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking software engineers to build scalable distributed systems and data pipelines for real-time and batch processing. The role emphasizes leadership, cross-team collaboration, and delivering high-impact AI-enabled solutions.

As part of Google Cloud Security, you will contribute to the next generation of security analytics while working on data platforms at scale across diverse teams and customers.

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development, with focus on building scalable distributed systems, data pipelines, real time streaming and batch processing systems.
• 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Responsibilities

• Develop, scale, and optimize data platform components for AI-focused environments.
• Drive rapid prototyping and evaluation of architectural options for next-gen data platform.
• Improve platform robustness, scalability, and reliability to harness customer data.
• Mentor team members, review code, and document technical decisions.

Skills

Distributed systems

Data pipelines

Real-time streaming

Batch processing

Java

C/C++

Python

GenAI techniques

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Engineering/CS

Tools

Java

C/C++

Python

GenAI (LLMs)

Job description

Google is seeking software engineers to build scalable distributed systems and data pipelines for real-time and batch processing. The role emphasizes leadership, cross-team collaboration, and delivering high-impact AI-enabled solutions.

As part of Google Cloud Security, you will contribute to the next generation of security analytics while working on data platforms at scale across diverse teams and customers.