Google Cloud Platform DevOps Engineer

Hello Professionals,

Hope You're doing Great.

We have an excellent job opportunity for Onsite Position. It is a long term contract opportunity with our client. if you are interested, please share your updated resume here.

Role: Google Cloud Platform DevOps Engineer

Location : NYC, NY (Onsite)

Job Duration : Long Term Contract

Must Have 12 Years of Experience

Job Description:

DevOps Engineer We are seeking a smart, proactive, and quick thinking DevOps Engineer to join our team and help drive the success of our cloud-native application platform.

This role is ideal for someone who thrives in fast-paced environments, is comfortable juggling multiple priorities, and can seamlessly switch contexts especially when working across complex integrations involving Salesforce, middleware, and cloud infrastructure.

Key Responsibilities:

• 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.
• 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
• Manage source control and branching strategies using GitHub, ensuring code integrity, traceability, and collaboration across teams.

Required Skills & Experience:

• 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 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.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

Preferred Qualifications

Certifications in Google Cloud Platform AWS or Azure

Certification in Salesforce