Senior Cloud Engineer

Role: Senior Cloud Engineer

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.