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Google Cloud Jobs

Google Cloud Jobs, page 9

Sr. Software Engineer - AI Quality and Productivity

1mo ago
G

General Motors

The AI Quality and Productivity team is responsible for empowering Quality and Warranty teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle. As a Senior Software Engineer, you will develop data-intensive and AI-enabled software applications supporting Product Development engineering teams, working with complex data requirements and delivering solutions using industry-standard practices across SQL, Databricks, and modern programming languages like Java and Python. You will design and build software and data solutions with a strong focus on data quality, performance, and reliability, while also advising, coaching, and mentoring other engineers and shaping how teams access and use data and AI.

Warren, Michigan, United States of America onsite Full-time
AWSAzureGoogle Cloud +5 more

Forward Deployed Engineer

1mo ago
D

DevRev

As a Forward Deployed Engineer at DevRev, you will collaborate closely with the pre- and post-sales Customer Experience team to develop solutions on the core platform using languages like TypeScript, JavaScript, and Python. A key aspect of this role involves building a Knowledge Graph by integrating DevRev with various SaaS and non-SaaS systems through webhooks, APIs, and real-time communication architectures. You will leverage your creativity and expertise to conceptualize and shape the application of AI, analytics, and workflows within customer processes, focusing on customer-facing implementations and hands-on technical development.

Delhi, NCR onsite Full-time
AWSGoogle CloudPython +5 more

Product Engineer, Cyber

1mo ago
OpenAI

OpenAI

We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. Our team builds infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. We focus on turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. This role is backend-focused, and you will build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel, primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You will own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers.

$255k - $445k

San Francisco onsite Full-time
OpenAIAWSAzure +8 more

Staff Software Engineer, RL Environments

2mo ago
Scale AI

Scale AI

Scale AI is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering Reinforcement Learning (RL) environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and verifier frameworks, while also diving deep into instrumenting real applications, designing task suites, and building robust graders. This is a hands-on engineering position requiring technical leadership across multiple teams and the ability to write complex code.

$252k - $315k

San Francisco, CA; New York, NY onsite Full-time
AWSGoogle CloudDocker +7 more