Software Engineer III, Infrastructure, Google Cloud

Technology, Data & Digital · Software & Web Development · Software Engineering · Cloud Engineering

In short

Google Cloud is looking for a Software Engineer III to design, build, and deploy infrastructure components that enforce deny-by-default AI policies. This role involves building low-latency services, partnering with various cloud teams, and ensuring system reliability and security at Google Cloud scale.

Responsibilities

Design, build, and deploy data-plane and control-plane components enforcing deny-by-default AI policies.
Own features from design through launch, and help shape your roadmap.
Build low-latency services that evaluate identity, context, and policy at Google Cloud scale.
Author design docs and weigh performance, reliability, and maintenance trade-offs with senior engineers.
Partner with Cloud Load Balancing, Cloud Run, IAM, and Agent Platform to integrate your features.
Help define API agreements and integration details, and flag cross-team blockers early.
Find and fix component risks, from policy correctness to failure modes and abuse paths.
Join on-call response, resolve production incidents, and ensure fixes land.
Turn requirements into clear milestones, estimate reliably, and deliver on schedule.
Steer features through launch, including dry-runs and safe enforcement.
Write clean, tested, documented code.
Conduct thorough code reviews, and mentor Level3 engineers and interns.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++, Java, Python, or Go programming languages.
Experience building and developing large-scale infrastructure or distributed systems.

Desired Qualifications

Master's degree or PhD in Computer Science or a related technical field.
Experience in building and managing services on Google Cloud Platform (GCP) or similar cloud environments (e.g., using Kubernetes, Cloud Run).
Experience with high-availability load balancing and networking technologies.
Deep knowledge of cloud security concepts, Identity and Access Management (IAM), and Zero Trust architectures.
Deep understanding of agentic workflows including Model Context Protocol (MCP) server.

Benefits

Opportunity to work on next-generation technologies
Work on a specific project critical to Google Cloud's needs
Opportunities to switch teams and projects
Empowered to act like an owner, take action and innovate
Versatile role with leadership opportunities
Enthusiastic to take on new problems across the full-stack
Work on securing the next generation of generative AI and agentic applications

Skills

C++JavaPythonGoKubernetesCloud RunGoogle Cloud PlatformIdentity and Access ManagementCloud Load BalancingAgent GatewayVirtual Private Cloud

#Software Engineering#Infrastructure#Google Cloud#C++#Java#Python#Go#Distributed Systems#GCP#Kubernetes#Cloud Run#Load Balancing#Networking#Cloud Security#IAM#Zero Trust#Generative AI#AI Policies

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