> Markdown version of [/jobs/ext/3145394-lead-devops-engineer-cloud-solution-architect](https://www.wearedevelopers.com/jobs/ext/3145394-lead-devops-engineer-cloud-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Lead DevOps Engineer/ Cloud Solution Architect

- **Company:** Tekshapers Inc
- **Location:** Raritan, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Continuous Integration, DevOps, Disaster Recovery, Github, Identity and Access Management, Python (Programming Language), Cloudera, Google Cloud, Generative AI, Amazon Virtual Private Cloud (VPC), Git Flow, Kubernetes, Terraform, Docker, Jenkins
- **Published:** September 29, 2026
- **Apply:** https://www.dice.com/job-detail/d99ae06e-4f88-4dea-b4f9-af29cc1eca49

## About the Role

Important: This is a hands-on technical leadership role-candidate must be capable of designing and personally implementing/troubleshooting solutions, not purely architecture/governance., 12+ years DevOps/Cloud/Platform Engineering, Google Cloud Platform, Terraform, Kubernetes/GKE, Jenkins, GitHub, Docker, Python, Bash, IAM, Shared VPC, Private Service Connect, CI/CD, Cloud Security, Networking, Observability.

Preferred: AWS, Vertex AI, Gemini, Azure, Google Cloud Platform Professional Cloud Architect certification, Kubernetes certifications.

## Description

* Lead Google Cloud Platform cloud architecture, DevOps, and platform engineering initiatives.
 * Design and implement Google Cloud Platform networking, IAM, security, landing zones, and infrastructure.
 * Hands-on experience with GKE, Cloud Run, Cloud Functions, BigQuery, Cloud SQL, Dataproc, and Dataform.
 * Build CI/CD pipelines using Jenkins, GitHub, GitOps, and Terraform.
 * Develop automation using Python and Bash.
 * Support Generative AI / Vertex AI / Gemini platforms.
 * Implement monitoring, observability, disaster recovery, and reliability solutions.
 * Troubleshoot complex production issues and provide technical leadership/mentoring.
 * Collaborate with Application, Data, Security, AI/ML, Architecture, and Operations teams.


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