Senior Cloud Engineer building and operating multicloud infrastructure for a fast - growing AI startup. Collaborate across teams in developing scalable systems for Fortune 500 clients.
About the role
- AI Software Engineer playing a critical role in developing AI technologies for GM. Responsible for building core infrastructure components for AI/ML workflows with cross-functional collaboration.
Responsibilities
- Design, develop and test cutting-edge AI infrastructure
- Collaborate with cross-functional teams to bring AI solutions into production at scale
- Implement robust, high-performance software systems with scalability, security, and efficiency
- Lead technical initiatives in validation, deployment, and monitoring in real-world environments
- Design and implement integrations with diverse data sources and SaaS platforms using APIs
- Optimize cloud resources for cost, performance, and scalability
- Mentor and guide junior engineers, fostering a culture of innovation and technical excellence
Requirements
- 10+ years’ experience required of software engineering
- Strong background in Python, Java and .NET
- Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, or equivalent experience
- Ability to define and propose innovative solutions to business problems
- Expert knowledge of cloud platforms such as AWS, Azure, or GCP
- Experience adapting and designing AI integrations with tools such as Slack, Google Workspace, Move works, Glean, Copilot, Workday and/or ServiceNow
- Experience with DevOps practices and CI/CD tools, pipelines, and scripting for automation
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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