Design, implement, and manage GCP infrastructure and networking with Terraform. Integrate Vertex AI and BigQuery for ML pipelines, configure Wiz for continuous security monitoring, automate tooling and scripts (Python/Bash), enforce Policies-as-Code, perform security assessments, and collaborate with cross-functional teams.
Responsibilities:
- Infrastructure as Code (IaC):
- Design, implement, and manage infrastructure as code using Terraform for GCP environments.
- Ensure infrastructure configurations are scalable, reliable, and follow best practices.
- GCP Platform Management:
- Architect and manage GCP environments, including compute, storage, and networking components.
- Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions.
- Vertex AI Integration:
- Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP.
- Implement and manage machine learning pipelines and models within the Vertex AI environment.
- BigQuery Storage:
- Design and optimize data storage solutions using BigQuery Storage.
- Collaborate with data engineers and analysts to ensure efficient data processing and analysis.
- Wiz Security Control Integration:
- Integrate and configure Wiz Security Control for continuous security monitoring and compliance checks within GCP environments.
- Collaborate with security teams to implement and enhance security controls.
- Automation and Tooling:
- Implement automation and tooling solutions for monitoring, scaling, and managing GCP resources.
- Develop and maintain scripts and tools to streamline operational tasks.
- Security and Compliance:
- Implement security best practices in GCP environments, including identity and access management, encryption, and compliance controls.
- Must understand the Policies as a Code in GCP
- Perform regular security assessments and audits.
Requirements:
- Bachelor's Degree:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- GCP Certification:
- GCP Professional Cloud Architect or similar certifications are highly desirable.
- Infrastructure as Code:
- Proven experience with Infrastructure as Code (IaC) using Terraform for GCP environments.
- Vertex AI and BigQuery:
- Hands-on experience with Vertex AI for generative AI solutions and BigQuery for data storage and analytics.
- Wiz Security Control:
- Experience with Wiz Security Control and its integration for continuous security monitoring in GCP environments.
- GCP Services:
- In-depth knowledge of various GCP services, including Compute Engine, Cloud Storage, VPC, and IAM.
- Automation Tools:
- Proficiency in scripting languages (e.g., Python, Bash) and automation tools for GCP resource management.
- Security and Compliance:
- Strong understanding of GCP security best practices and compliance standards.
- Collaboration Skills:
- Excellent collaboration and communication skills, with the ability to work effectively in a team-oriented environment
Photon Chennai, Tamil Nadu, IND Office
DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam , Chennai, India, 600089
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
