Executive - Internal Audit KPMG India
KPMG India
Office Location
Full Time
Experience: 0 - 0 years required
Pay:
Salary Information not included
Type: Full Time
Location: Haryana
Skills: Azure, aws, GCP, ServiceNow, Docker, Kubernetes, APIs, load balancing, hybrid cloud, Communication skills, presentation skills, cicd, Aws Lambda, Azure Functions, Google Cloud Functions, Azure SQL Database, AWS RDS, Google BigQuery, Infrastructure As Code, Terraform, Arm Templates, CloudFormation, Azure Monitor, AWS Cloudwatch, GCP Stackdriver, VPCs, Security Groups, cloud migration, Aiml, multicloud
About KPMG India
Job Description
Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Skills and Expertise: The Associate consultant should have expertise in the following: Designing, developing, and deploying cloud-based solutions on Azure, AWS, and GCP. Managing cloud infrastructure, including virtual machines, networking, and storage solutions. Configuring and integrating ServiceNow for IT service management and automation. Implementing cloud security best practices, ensuring compliance with governance policies. Working with containerization tools like Docker and Kubernetes for scalable application deployment. Setting up and managing CI/CD pipelines for cloud-native applications. Utilizing serverless computing with AWS Lambda, Azure Functions, and Google Cloud Functions. Managing cloud-based databases, such as Azure SQL Database, AWS RDS, and Google BigQuery. Developing and managing APIs, ensuring secure cloud-based application communication. Implementing Infrastructure as Code (IaC) using tools like Terraform, ARM Templates, or CloudFormation. Monitoring and optimizing cloud environments using tools like Azure Monitor, AWS CloudWatch, and GCP Stackdriver. Understanding cloud networking concepts, including VPCs, load balancing, and security groups. Planning and executing cloud migration strategies for existing applications. Collaborating with cross-functional teams, including DevOps, cybersecurity, and application developers. Implementing AI/ML solutions using Azure AI, AWS SageMaker, and GCP AI (good to have). Working with hybrid and multi-cloud environments for enterprise solutions (good to have). Strong communication and presentation skills to effectively convey cloud strategies and solutions. Equal employment opportunity information Qualifications Minimum Bachelor of Engineering (BE) required,