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Photon

GCP Engineer - Springfield, MO

Sorry, this job was removed at 03:28 a.m. (PST) on Tuesday, Sep 01, 2026
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In-Office or Remote
Hiring Remotely in United States
48K-168K Annually
Mid level
In-Office or Remote
Hiring Remotely in United States
48K-168K Annually
Mid level

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Job Summary:

We are seeking a skilled GCP Engineer to design, implement, and manage scalable cloud solutions on the Google Cloud Platform. The ideal candidate will have hands-on experience with GCP services, strong DevOps or infrastructure-as-code skills, and a solid understanding of cloud-native application deployment and management.

Key Responsibilities:

Design and implement cloud infrastructure solutions using GCP services (e.g., Compute Engine, Cloud Run, GKE, Cloud Functions).

Develop automation scripts using Terraform, Deployment Manager, or Cloud Build for infrastructure provisioning and CI/CD.

Implement and manage cloud security, IAM policies, and VPC networking.

Monitor and optimize GCP workloads for performance, availability, and cost.

Support cloud-native application deployments using containers (e.g., Docker, Kubernetes).

Collaborate with software engineers, architects, and DevOps teams to deliver scalable and reliable systems.

Set up and manage observability tools (e.g., Cloud Logging, Cloud Monitoring, Stackdriver, Prometheus/Grafana).


Required Skills and Qualifications:

3+ years of experience with Google Cloud Platform.

Proficiency in GCP core services: Compute, Networking, IAM, Storage, BigQuery, and Pub/Sub.

Strong experience in Infrastructure as Code (IaC) with Terraform or GCP Deployment Manager.


Hands-on experience with Docker and Kubernetes (GKE preferred).

Understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, Cloud Build, etc.

Strong knowledge of cloud security best practices and compliance standards.

Preferred Qualifications:

Google Cloud Professional Certification (e.g., Cloud Engineer, DevOps Engineer, or Architect).

Experience with hybrid cloud or multi-cloud deployments.

Familiarity with serverless architectures (Cloud Functions, Cloud Run).

Experience with Cloud SQL, Firestore, or other GCP-managed databases.

Familiarity with data engineering or AI/ML services on GCP is a plus.

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.


Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post


Photon San Francisco, California, USA Office

San Francisco, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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