Deloitte Hiring GCP Engineer Architect Job| Hybrid Job

• Job Role: AWS, Azure, GCP Engineer Architect
• Salary: Rs 10-20 Lacs P.A.
• Location: Bengaluru 
• Company: Deloitte
• Qualifications: Any Graduate
• Experience: 3 – 8 years

ABOUT DELOITTE 

Deloitte is one of the global’s biggest expert offerings firms, offering an extensive variety of offerings including audit, consulting, tax, hazard advisory, and monetary advisory. With a worldwide presence throughout more than hundred fifty nations, Deloitte enables customers to remedy complex commercial enterprise-demanding situations by way of combining deep industry know-how, innovative answers, and current technology. Founded in 1845, the business enterprise has an extended history of handing over funds to agencies, governments, and nonprofit groups. 

Deloitte is thought for its dedication to fostering an inclusive and various place of business, investing in talent development, and riding sustainable enterprise practices. The corporation leverages advanced technology like AI, cloud, and analytics to support customers in navigating virtual transformation. Deloitte’s middle values emphasize integrity, excellence, and leadership, positioning the firm as a dependent advisor and associate to its customers internationally.

Job Description:

We are searching for a skilled GCP Engineer Architect to design and put in force scalable, steady, and excessive-overall performance solutions on the Google Cloud Platform. The position includes architecting cloud infrastructures, optimizing workloads, and making sure seamless integration across services. You will collaborate with pass-useful groups to install and keep programs, control cloud sources, and put in force excellent practices for safety, price performance, and automation. A strong understanding of GCP offerings (e.g., Compute Engine, Kubernetes, BigQuery), cloud structure, and DevOps is needed. Certification in Google Cloud (Professional Cloud Architect) is favored. Excellent trouble-fixing and verbal exchange competencies are important.

Key Responsibilities:

1. Cloud Architecture Design: Design, put in force, and optimize scalable and reliable cloud architectures on Google Cloud Platform (GCP), ensuring alignment with commercial enterprise goals and technical requirements.
2. Infrastructure as Code (IaC): Use gear like Terraform, Cloud Deployment Manager, or Ansible to automate the provisioning and control of cloud infrastructure.
3. System Integration: Collaborate with go-useful groups to ensure seamless integration of GCP offerings with present on-premise or other cloud environments.
4. Cost Optimization: Implement value-powerful solutions by way of leveraging GCP’s local gear and services for green resource management, value tracking, and optimization.
5. Security & Compliance: Ensure cloud infrastructure is stable by making use of first-rate practices for identification and entry to control (IAM), records encryption, network protection, and compliance with industry standards.
6. Performance Monitoring & Optimization: Monitor software and infrastructure performance, ensuring the most suitable scalability and availability of services. Use tools like Stackdriver to diagnose and solve performance troubles.
7. Automation & DevOps Practices: Design and put into effect CI/CD pipelines, allowing computerized code deployment and enhancing software transport efficiency.
8. Collaboration & Mentorship: Work closely with improvement, operations, and safety groups to recognize necessities and provide technical management. Mentor junior engineers and make contributions to information sharing.
9. Documentation & Reporting: Maintain thorough documentation on architectural designs, strategies, and machine configurations. Provide ordinary reports on mission reputation, dangers, and troubles.

Key Skills:

• GCP Expertise: In-intensity information of GCP offerings, which include Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Pub/Sub, and Cloud Functions.
• Cloud Architecture: Strong understanding of cloud infrastructure design patterns, networking, and dispensed structures.
• Infrastructure as Code (IaC): Proficiency in equipment like Terraform, CloudFormation, or Google Cloud Deployment Manager for automating cloud assets.
• Containerization & Orchestration: Expertise in Docker, Kubernetes, and box management at scale.
• Security Best Practices: Solid experience in dealing with IAM, community safety, encryption, and compliance.
• Scripting & Automation: Proficiency in scripting languages like Python, Bash, or Go for automation and process optimization.
• CI/CD & DevOps Tools: Experience with Jenkins, GitLab, or Cloud Build for automating code pipelines.
• Problem Solving & Troubleshooting: Strong analytical and troubleshooting abilities, especiallyy in cloud-based environments.
• Communication & Collaboration: Excellent interpersonal and conversation abiltieInteractgs successfully with stakeholders in any respect stages.

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