Role: GCP DevOps Engineer

Location: San Leandro, CA(Onsite)

This will be in person interview

Only H1 visa

Summary:

The ideal candidate brings strong experience in Linux, DevOps, CI/CD pipelines, infrastructure as code (Terraform), containerization (Docker, Kubernetes, OpenShift), cloud platforms (GCP, Azure), AI/ML operations, and cloud native toolchains. Additional strengths include hands on Generative AI/LLM capabilities, vector databases, observability stacks, and leading technically complex discussions. Strong analytical, problem-solving, and communication skills are essential.

In this role, you will: 

Contribute to Generative AI platform development, including delivering AI/ML models to on prem and cloud platforms such as GCP Vertex AI and Azure ML.

Participate in daily Agile standups, provides SME guidance to data science teams

Collaborates closely with engineering, platform, and strategy teams to define infrastructure requirements and support cloud migration.

Leads large scale, complex technology initiatives and helps establish enterprise-wide engineering standards and best practices

Design, , test, debug, and document for projects and programs.

Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors.

Research industry trends, evaluates new technologies, and drives the adoption of automation first practices

Participate in developing Generative AI Platform Capabilities.

Act as an expert resource for other technical teams within DTI.