

DevOps Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer in San Jose, CA, on a hybrid basis for an unspecified contract length. The pay rate is also unspecified. Key skills include CI/CD, Kubernetes, IaC, and experience with large data volumes and security assessments.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
-
ποΈ - Date discovered
September 19, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
-
π - Location detailed
San Jose, CA
-
π§ - Skills detailed
#Infrastructure as Code (IaC) #Scala #Kubernetes #DevOps #Deployment #Security
Role description
Job Title:- DevOps Engineer
Location:- San Jose, CA USA 95113 Hybrid 2 days onsite.
Job Description
β’ The services You will provide the Deloitte project team: As a DevOps Contractor, you will streamline and automate the software development and deployment processes to enhance efficiency and reliability.
β’ Develop and maintain CI/CD pipelines to automate the software build, test, and deployment processes.
β’ Collaborate with development and operations teams to ensure seamless integration and delivery of applications.
β’ Monitor and optimize system performance, ensuring high availability and scalability.
β’ Implement and manage infrastructure as code (IaC) to automate provisioning and configuration of resources.
β’ Perform regular security assessments and apply necessary patches and updates to maintain system integrity.
β’ Host and run LLMs by provisioning GPU-enabled infrastructure and other specialized hardware.
β’ Design systems to handle massive data volumes for model training and low-latency inference.
β’ Leverage orchestrations using Kubernetes and Infrastructure as Code (IaC).
Job Title:- DevOps Engineer
Location:- San Jose, CA USA 95113 Hybrid 2 days onsite.
Job Description
β’ The services You will provide the Deloitte project team: As a DevOps Contractor, you will streamline and automate the software development and deployment processes to enhance efficiency and reliability.
β’ Develop and maintain CI/CD pipelines to automate the software build, test, and deployment processes.
β’ Collaborate with development and operations teams to ensure seamless integration and delivery of applications.
β’ Monitor and optimize system performance, ensuring high availability and scalability.
β’ Implement and manage infrastructure as code (IaC) to automate provisioning and configuration of resources.
β’ Perform regular security assessments and apply necessary patches and updates to maintain system integrity.
β’ Host and run LLMs by provisioning GPU-enabled infrastructure and other specialized hardware.
β’ Design systems to handle massive data volumes for model training and low-latency inference.
β’ Leverage orchestrations using Kubernetes and Infrastructure as Code (IaC).