Role: Terraform & GCP Specialist
Location: Concord CA (Onsite)
Type: Contract
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.
Minimum requirements:
- 4 years of build-deploy automation and configuration experience within the Linux and Unix environment.
- 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 (GCP) including management of GCP resources with Terraform in an enterprise environment.
- 3 years of proficient to advanced experience with git/github.
- 2 years of experience in LLM Generative AI (developing capabilities for dev/ops).
- 2 years of experience in Elastic Search Vector Database Model Development would be added benefit.
- 2 years of experience with Terraform Cloud/Terraform Enterprise in an enterprise environment.
- 2 years of experience supporting AIML solutions in an enterprise environment (GCP preferred but Azure also useful).
- 3 years of experience with docker/container image development.
Preferred Skills:
- Understanding of Urban Code Deploy (UCD) or Harness CD tools.
- Associate cloud engineer certification for GCP (or better GCP certification).
- Knowledge and understanding of Cloud computing PaaS design principles and micro services and containers.
- Working knowledge/experience with Azure and/or GCP as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.).
- 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.
- Ability to lead / facilitate technically complex discussions and working sessions.
Role: Terraform & GCP Specialist Location: Concord CA (Onsite) Type: Contract 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 clou...
Role: Terraform & GCP Specialist
Location: Concord CA (Onsite)
Type: Contract
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.
Minimum requirements:
- 4 years of build-deploy automation and configuration experience within the Linux and Unix environment.
- 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 (GCP) including management of GCP resources with Terraform in an enterprise environment.
- 3 years of proficient to advanced experience with git/github.
- 2 years of experience in LLM Generative AI (developing capabilities for dev/ops).
- 2 years of experience in Elastic Search Vector Database Model Development would be added benefit.
- 2 years of experience with Terraform Cloud/Terraform Enterprise in an enterprise environment.
- 2 years of experience supporting AIML solutions in an enterprise environment (GCP preferred but Azure also useful).
- 3 years of experience with docker/container image development.
Preferred Skills:
- Understanding of Urban Code Deploy (UCD) or Harness CD tools.
- Associate cloud engineer certification for GCP (or better GCP certification).
- Knowledge and understanding of Cloud computing PaaS design principles and micro services and containers.
- Working knowledge/experience with Azure and/or GCP as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.).
- 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.
- Ability to lead / facilitate technically complex discussions and working sessions.
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