Google Cloud Platform DevOps & Data Engineer Consultant

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.

Greetings of the day!

We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients,

If you have any relevant candidate profiles, please share your updated resumes at your earliest convenience, and I'll be happy to provide more details about the role.

Position: Google Cloud Platform DevOps & Data Engineer Consultant

Duration: Contract

Job Description:

• Design, implement, and support enterprise cloud infrastructure and data engineering solutions on Google Cloud Platform.
• Develop and optimize cloud-native data ingestion, transformation, and processing pipelines using Databricks and Google Cloud Platform services.
• Design, deploy, and automate scalable cloud infrastructure using Terraform following Infrastructure as Code best practices.
• Develop and maintain enterprise CI/CD pipelines utilizing GitOps methodologies, Azure DevOps, and modern DevOps practices.
• Manage artifact repositories, release pipelines, and package lifecycle using JFrog Artifactory.
• Deploy, manage, and optimize containerized workloads running on Google Kubernetes Engine (GKE) and Cloud Run.
• Develop scalable integrations using Google Pub/Sub, Kafka, REST APIs, and event-driven architecture patterns.
• Administer and optimize Google Cloud data platforms including BigQuery, AlloyDB, Cloud Storage, and Spanner.
• Monitor cloud infrastructure, deployment pipelines, application performance, and operational health while driving continuous improvements.
• Implement Google Cloud security controls including IAM, encryption, network security, compliance, and governance standards.
• Collaborate with solution architects, developers, data engineers, and client stakeholders to deliver secure, scalable, and high-performing cloud platforms.
• Participate in architecture reviews, technical assessments, migration planning, and cloud modernization initiatives while providing implementation guidance and best practices.
• Support pre-sales activities by contributing to solution design, effort estimation, technical documentation, and client presentations when required.

• Minimum 3 5 years of experience in DevOps Engineering, Cloud Engineering, Data Engineering, or Infrastructure Automation.
• Minimum 2+ years of hands-on experience implementing solutions on Google Cloud Platform, including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
• Minimum 2 years of experience building and supporting enterprise data pipelines using Databricks.
• Minimum 2 years of experience implementing Infrastructure as Code using Terraform.
• Experience developing and maintaining CI/CD pipelines using GitOps methodologies and Azure DevOps.
• Experience managing build artifacts and repositories using JFrog Artifactory.
• Experience working with Pub/Sub, Kafka, REST APIs, and event-driven integration architectures.
• Strong understanding of Google Cloud IAM, encryption, networking, monitoring, and cloud security best practices.
• Strong analytical, troubleshooting, automation, and problem-solving skills.
• Excellent verbal and written communication skills with the ability to work effectively in cross-functional and client-facing environments.

• Experience supporting Salesforce Agentforce or AI-enabled cloud platforms.
• Experience with Generative AI workloads and Google Gemini ecosystem.
• Experience with Kubernetes administration and platform engineering.
• Experience with monitoring tools such as Cloud Monitoring, Prometheus, or Grafana.
• Experience working in consulting or professional services organizations.
• Technical lead or project delivery experience.