Agentforce - Google Cloud Platform DevOps & Data Engineer

VDart, Inc.

Alpharetta, GA, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Microsoft Azure BigQuery Cloud Computing Cloud Computing Security Cloud Engineering Cloud Storage Data as a Services Information Engineering DevOps Identity and Access Management Cloud Services Google Cloud

+11 more

Delivery Pipeline Software Troubleshooting Information Technology Apache Kafka Api Design Restful APIs Terraform Data Pipelines Serverless Computing Databricks Artifactory

Job description

Build and maintain data ingestion and processing pipelines using Databricks.
Design, deploy, and support Google Cloud Platform infrastructure using Terraform.
Develop and maintain CI/CD pipelines using GitOps methodologies.
Manage repositories and build artifacts using Azure DevOps and JFrog Artifactory.
Support containerized applications running on GKE and Cloud Run.
Develop integrations using Pub/Sub, Kafka, and REST APIs.
Work with Google Cloud Platform data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
Monitor, troubleshoot, and optimize cloud infrastructure and deployment pipelines.
Implement IAM, encryption, and cloud security best practices.
Collaborate with cross-functional teams to deliver scalable cloud solutions.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
3-5 years of experience in DevOps, Cloud Engineering, or Data Engineering.
Hands-on experience with Google Cloud Platform services including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
Experience with Databricks and data ingestion pipelines.
Experience implementing CI/CD pipelines using GitOps and Azure DevOps.
Experience with JFrog Artifactory.
Experience implementing Infrastructure as Code using Terraform.
Experience with Pub/Sub, Kafka, and API development.
Understanding of Google Cloud Platform IAM, encryption, and cloud security best practices.
Strong troubleshooting, analytical, and communication skills.

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