About the GCP Engineer Role

We are hiring a highly skilled GCP Engineer with strong hands-on experience in Google Cloud Platform services, especially Google Dataflow. This long-term C2C contract opportunity is ideal for professionals who enjoy building scalable, cloud-native data processing systems and working in collaborative Agile teams.

The GCP Engineer will design and implement high-performance batch and streaming data pipelines while contributing to backend services written in Java. You will also play an active role in containerization and deployment strategies using Docker and Kubernetes.

This role is available as remote or hybrid based on client requirements. It offers long-term stability and the opportunity to work on enterprise-level cloud solutions.

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Key Responsibilities of the GCP Engineer

Design and Develop Data Pipelines

The primary responsibility of this GCP Engineer role is to design, develop, and optimize scalable batch and streaming pipelines using Google Dataflow. You will work with Apache Beam to build reliable and efficient data processing solutions.

Backend Development in Java

You will build and maintain production-grade backend services using Java. This includes writing clean, scalable code, implementing object-oriented design principles, and ensuring system reliability and performance.

Containerization and Deployment

You will containerize applications using Docker and manage orchestration and scaling using Kubernetes. Experience with deployment automation and CI or CD pipelines is essential.

Infrastructure Optimization

You will optimize cloud infrastructure for performance, reliability, and cost efficiency across various GCP services.

Cross-Functional Collaboration

You will collaborate with DevOps teams, frontend developers, and other stakeholders to deliver end-to-end solutions in an Agile environment.

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Required Skills for This GCP Engineer Position

Google Dataflow Expertise

Strong experience in designing and implementing batch and streaming data pipelines using Google Dataflow is mandatory. Experience with Apache Beam and performance tuning of Dataflow jobs is essential.

Strong Java Development Skills

Proficiency in Java for backend development is required. You should have experience building scalable production-level applications and a solid understanding of object-oriented programming principles.

Containerization and Orchestration

Hands-on experience with Docker and strong knowledge of Kubernetes including deployment, scaling, and orchestration are required.

CI or CD Knowledge

Experience working with CI or CD pipelines and understanding DevOps practices is highly valued.

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Nice-to-Have Skills

While not mandatory, the following experience will strengthen your profile:

• ReactJS for frontend integration or UI components

• Terraform for Infrastructure as Code

• Exposure to BigQuery, Pub Sub, Cloud Storage, and Cloud Functions

• Familiarity with cloud security standards and DevOps methodologies

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Work Model and Engagement Details

• Engagement Type: W2/C2C

• Location: Remote (Have to support in PST time)

• Duration: Long-Term Contract

This opportunity is best suited for experienced cloud engineers looking for contract flexibility combined with long-term stability.

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Preferred Candidate Profile

We are looking for a professional who demonstrates strong analytical and problem-solving skills. The ideal GCP Engineer is comfortable working independently in fast-paced environments and communicates clearly with technical and non-technical stakeholders.

Experience working in Agile or Scrum environments is highly preferred.

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Why Consider This GCP Engineer Opportunity

This role allows you to work on enterprise-scale data systems using modern cloud technologies. You will gain exposure to advanced GCP services, containerized architectures, and real-world streaming data challenges.

If you are passionate about cloud engineering, backend systems, and distributed data processing, this is an opportunity to strengthen your professional portfolio.

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Ready to Apply?

If this GCP Engineer position aligns with your expertise and career goals, take the next step and apply today.

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Frequently Asked Questions About the GCP Engineer Role

1. What does a GCP Engineer typically do?

A GCP Engineer designs, builds, and manages cloud-based systems on Google Cloud Platform including data pipelines and backend services.

2. Is Google Dataflow mandatory for this role?

Yes. Hands-on experience with Google Dataflow and Apache Beam is required.

3. What level of Java experience is expected?

Strong backend Java development experience with production-level applications is required.

4. Is this role remote?

The position is remote or hybrid depending on client requirements.

5. What type of contract is offered?

This is a C2C long-term contract opportunity.

6. Are frontend skills required?

Frontend experience such as ReactJS is not mandatory but considered a plus.

7. Is Terraform required?

Terraform is a nice-to-have skill but not mandatory.

8. What Kubernetes experience is needed?

Candidates should have hands-on experience with deployment, scaling, and orchestration using Kubernetes.

9. Do I need experience with other GCP services?

Exposure to services like BigQuery or Pub Sub is beneficial but not strictly required.

10. Is DevOps experience important?

Yes. Familiarity with CI or CD pipelines and DevOps best practices is preferred.

11. What experience level is suitable?

Mid-level to senior-level professionals with strong cloud engineering backgrounds are ideal.

12. Will I work in an Agile environment?

Yes. Experience in Agile or Scrum methodologies is preferred.

13. What soft skills are important?

Strong communication skills, analytical thinking, and independent work capability are highly valued.

14. Is this a long-term opportunity?

Yes. The engagement is structured as a long-term contract.

15. How do I apply?

You can apply through the job listing page and follow the client’s application instructions.