Kasmo Inc.
Google Cloud Platform Cloud Engineer with AI/ML
Concord, California, USA · Mid · Contract
Sponsorship not specifiedDetected 162 days ago
PythonGitElasticsearchVector DatabasesGCPAzureCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDJenkinsLinuxDevOpsMachine LearningData ScienceLLMsMLOpsResearchCommunicationProblem Solving
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
41% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 7 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Baxter · Caterpillar · FlanderFiles as an H-1B dependent employer.
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- Additional strengths include hands‑on Generative AI/LLM capabilities, vector databases, observability stacks, and leading technically complex discussions.
Responsibilities
- 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.
- Research industry trends, evaluates new technologies, and drives the adoption of automation‑first practices Participate in developing Generative AI Platform Capabilities.
Requirements
- 4+ years of Gradle or Maven experience.
- 4+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure).
- 4+ years of experience with Linux OS environment.
- 3+ years of Python experience.
- 3 + years of experience with server administration and job creation using Jenkins Continuous Integration server, Github Actions.
- 3+ years of experience with DevOps practices in an enterprise environment including CI/CD pipelines and DevOps-focused collaboration.
- 3+ years of experience with Terraform including module engineering, state management, and execution in an enterprise environment.
- 3+ years of proficient to advanced experience with IaC (infrastructure as code) processes and tooling in an enterprise environment.
- 3+ years of experience with Google Cloud Platform (Google Cloud Platform) including management of Google Cloud Platform resources with Terraform in an enterprise environment.
- 3+ years of proficient to advanced experience with git/github.
Nice to have
- 2+ years of experience supporting AIML solutions in an enterprise environment (Google Cloud Platform preferred but Azure also useful).
- Preferred Skills: Understanding of Urban Code Deploy (UCD) or Harness CD tools.
Skills
- Understanding of Urban Code Deploy (UCD) or Harness CD tools.
- Working knowledge/experience with on-premises and Public Cloud technologies, such as Cloud Foundry, Kubernetes, Docker.
- Experience in leading / facilitating analysis of current systems and problem identification and resolution.
- Strong analytical, problem-solving, and communication skills are essential.
- Local candidates only.
- There will be 2 client rounds; 1 virtual and 1 in person.
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This listing is sourced directly from Kasmo Inc.'s careers page and normalized into a canonical job model.