Senior DevOps Engineer – GCP

Overview

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  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 Git Hub Actions, Jenkins, Maven, Sonar Qube, Checkmarx, and JFrog Artifactory.

Manage source control and branching strategies using Git Hub, ensuring code integrity, traceability, and collaboration across teams. Implement and manage API gateways to support secure and scalable service integrations. Automate infrastructure provisioning and configuration using IAC tooling such as Terraform. Implement monitoring systems health and performance using Splunk, Dynatrace, and Datadog. Ensure adherence to security best practices, including IAM, cloud, encryption, and secure networking.

• Design, implement, and manage cloud infrastructure on GCP with related services.
• Support and optimize Salesforce development workflows and tools.
• Manage containerized microservices using Kubernetes, Docker, and Cloud Run, integrated with Kafka, Spring Boot, and Mulesoft.
• Build and maintain CI/CD pipelines using Git Hub Actions, Jenkins, Maven, Sonar Qube, Checkmarx, and JFrog Artifactory.
• Manage source control and branching strategies using Git Hub, ensuring code integrity, traceability, and collaboration across teams.
• Implement and manage API gateways to support secure and scalable service integrations.
• Automate infrastructure provisioning and configuration using IAC tooling such as Terraform.
• Implement monitoring systems health and performance using Splunk, Dynatrace, and Datadog.
• Ensure adherence to security best practices, including IAM, cloud, encryption, and secure networking.

• 5+ years of experience in Dev Ops, cloud infrastructure, or platform engineering roles.
• Proficiency with source control, continuous integration, and testing pipelines using tools such as:
  Git Hub, Git Hub Actions, Jenkins, Maven, Sonar Qube, and Checkmarx.
• Solid understanding of container orchestration (Kubernetes, Docker) and CI/CD pipelines.
• Proficient in scripting languages:
  Python, Bash, Groovy.
• Familiarity with REST, JSON, and Graph
  
  QL 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 work streams simultaneously.
• Proven ability to analyze complex requirements and provide innovative solutions.
• 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.