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Lead DevOps Engineer - GCP

Roles & Responsibilities

Key Responsibilities & Requirements

Key Responsibilities & Requirements

  • Design implement and manage cloud infrastructure on GCP 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
  • Manage containerized microservices using Kubernetes Docker and Cloud Run integrated with Kafka Spring Boot and Mulesoft
  • Build and maintain CI CD pipelines using GitHub Actions Jenkins Maven SonarQube Checkmarx and JFrog Artifactory
  • Collaborate with cross functional teams to support agile development testing and deployment processes
  • Participate in incident response root cause analysis and continuous improvement initiatives
  • Learn new technologies and stay up to date with latest industry trends
  • 5 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 GCP 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
  • Ability to thrive in fast paced environments with frequent context switching and complex integration challenges
  • Excellent multitasking skills and the ability to manage several workstreams simultaneously
  • Proven ability to analyze complex requirements and provide innovative solutions
  • Experience following Agile development practices with globally distributed teams
  • Excellent communication skills Able to communicate effectively with a range of stakeholders from management to other engineers and present to both technical and non technical audiences
  • Solid organizational time management and judgment skills
  • Ability to work independently and in a team environment
  • Certifications in GCP AWS or Azure
  • Certification in Salesforce
  • Experience with AI ML services like Vertex AI CCAI or Dialogflow

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