Google Cloud Platform DevOps Engineer with Salesforce Exp :: Hartford, CT (Onsite Position)

Hartford, CT, US • Posted 13 hours ago • Updated 54 minutes ago
Full Time
Part Time
On-site
Fitment

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Job Details

Skills

  • GCS
  • Redis
  • Load Balancing
  • Vertex
  • Artificial Intelligence
  • Workflow
  • Force.com
  • Migration
  • API
  • Provisioning
  • Terraform
  • DevOps
  • IaaS
  • Version Control
  • Continuous Integration and Development
  • Testing
  • GitHub
  • Jenkins
  • Apache Maven
  • Google Cloud
  • Google Cloud Platform
  • Cloud Computing
  • Salesforce.com
  • Oracle Application Express
  • Apex
  • Command-line Interface
  • Middleware
  • Apache Kafka
  • Spring Framework
  • MuleSoft
  • Orchestration
  • Kubernetes
  • Docker
  • Continuous Integration
  • Continuous Delivery
  • Scripting
  • Python
  • Bash
  • Groovy
  • JSON
  • GraphQL
  • Cloud Security
  • Computer Networking
  • Management
  • LinkedIn
  • SANS

Summary

Role: Google Cloud Platform DevOps Engineer

Location: Hartford, CT (Onsite Position)

Job Description:

  • Design, implement, and manage cloud infrastructure on Google Cloud Platform, including Cloud Run, Pub/Sub, GCS, IAM, Redis, Load Balancing, and Vertex AI.
  • Support and optimize Salesforce development workflows and tools like SFDX, Salesforce CLI, and Force.com Migration Tool.
  • Implement and manage API gateways to support secure and scalable service integrations.
  • Automate infrastructure provisioning and configuration using IAC tooling such as Terraform.
  • Learn new technologies and stay up to date with latest industry trends
  • Required Skills & Experience:
  • 10+ years of experience in DevOps, cloud infrastructure, or platform engineering roles.
  • Proficiency with source control, continuous integration, and testing pipelines using tools such as: GitHub, GitHub Actions, Jenkins, Maven, SonarQube, and Checkmarx.
  • Strong hands-on experience with Google Cloud Platform and cloud-native architectures.
  • Proficiency in Salesforce development and deployment (Apex, LWC) and tooling (SFDX, CLI).
  • Experience with middleware platforms: Kafka, Spring Boot, Mulesoft.
  • Solid understanding of container orchestration (Kubernetes, Docker) and CI/CD pipelines.
  • Proficient in scripting languages: Python, Bash, Groovy.
  • Familiarity with REST, JSON, and GraphQL APIs.
  • Strong grasp of cloud security, IAM, and networking principles.
  • Experience with monitoring and observability tools.
  • Solid organizational, time management and judgment skills
  • Ability to work independently and in a team environment.

Thanks & Regards,

Kumar K

Sr. US IT Recruiter

Email:

LinkedIn:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90884655
  • Position Id: OOJ - 8407-7432-1775848159
  • Posted 13 hours ago
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