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AZURE
4.6
based on 20 Reviews
Video summary
Company Overview
Company Locations
Working at AZURE
Company Summary
Overall Rating
4.5/5
based on 20 reviews
22% above
industry average
Highly rated for
Job security, Company culture, Work satisfaction
Work Policy
Rotational Shift
28% employees reported
Flexible timing
54% employees reported
No travel
55% employees reported
Day shift
100% employees reported
View detailed work policy
Top Employees Benefits
Office cab/shuttle
1 employee reported
Job/Soft skill training
1 employee reported
View detailed benefits
About AZURE
Founded in--
India Employee Count--
Global Employee Count11-50
HeadquartersBeijing, China
Office Locations
--
Websiteazure-international.com
Primary Industry
Other Industries
--
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AZURE Ratings
based on 20 reviews
Overall Rating
4.5/5
How AmbitionBox ratings work?
5
11
4
4
3
4
2
1
1
0
Category Ratings
4.7
Job security
4.3
Company culture
4.3
Work satisfaction
4.2
Salary
4.2
Work-life balance
4.2
Skill development
4.0
Promotions
AZURE is rated 4.5 out of 5 stars on AmbitionBox, based on 20 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
Read more
AZURE Reviews
Compare AZURE with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.6/5 based on 20 reviews | 4.0/5 based on 2.3k reviews | 3.9/5 based on 3.5k reviews | 3.5/5 based on 2.4k reviews |
Highly Rated for | Job security Company culture Work satisfaction | Job security Company culture Skill development | Job security Company culture | No highly rated category |
Critically Rated for | No critically rated category | No critically rated category | Promotions | Promotions Salary Work satisfaction |
Primary Work Policy | - | Work from office 68% employees reported | Work from office 56% employees reported | Work from office 83% employees reported |
Rating by Women Employees | 4.8 Excellent rated by 5 women | 4.1 Good rated by 866 women | 4.1 Good rated by 1.3k women | 3.5 Good rated by 1k women |
Rating by Men Employees | 4.5 Good rated by 12 men | 3.9 Good rated by 1.4k men | 3.8 Good rated by 2.1k men | 3.6 Good rated by 1.3k men |
Job security | 4.7 Excellent | 4.0 Good | 3.9 Good | 3.6 Good |
View more
AZURE Salaries
AZURE salaries have received with an average score of 4.2 out of 5 by 20 employees.
Data Engineer
(5 salaries)
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₹4.5 L/yr - ₹12 L/yr
Project Engineer
(4 salaries)
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₹4.2 L/yr - ₹8.3 L/yr
Account Assistant
(4 salaries)
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₹2 L/yr - ₹2.5 L/yr
Dcdp
(3 salaries)
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₹2.2 L/yr - ₹2.8 L/yr
Technical Lead
(3 salaries)
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₹18.5 L/yr - ₹32.4 L/yr
Software Engineer
(3 salaries)
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₹3.3 L/yr - ₹4.5 L/yr
Call Center Executive
(3 salaries)
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₹1.2 L/yr - ₹3 L/yr
Textile Designer
(3 salaries)
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₹5.4 L/yr - ₹6.9 L/yr
Java Developer
(2 salaries)
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₹2.9 L/yr - ₹3.7 L/yr
Tandoor Chef
(2 salaries)
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₹17.3 L/yr - ₹22.1 L/yr
AZURE News
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Codex CLI – Adding Azure OpenAI to Codex by using… Codex!
- OpenAI has announced Codex, a lightweight, open-source coding agent that runs entirely in your terminal.
- Codex is a coding assistant that allows you to ask questions, request suggestions, and even run parts of your project.
- The Codex CLI can be extended and integrated with Azure OpenAI deployment for enterprise-ready workflows.
- Codex is hackable and powerful, allowing for easy refactoring and potential integration into CI pipelines and other project contexts.
Dev | 19 Apr, 2025
2025 State of FinOps Report: Achieve top 3 priorities faster
- The cloud's financial visibility is the true superpower by 2025, per the FinOps Foundation's State of FinOps 2025 report.
- Top global priorities include workload optimization, full cloud spending allocation, and accurate spend forecasting.
- Turbo360 on Azure focuses on these priorities: optimizing waste, allocating spending efficiently, and forecasting accurately.
- Turbo360's features for waste reduction include continuous optimization, automated actions, right-sizing recommendations, and what-if simulations.
- For full cloud spending allocation, Turbo360 offers business mapping, shared cost allocation, and showback & chargeback reports.
- In accurate spend forecasting, Turbo360 provides trend-based forecasting, forecast by dimensions, real-time budget tracking, and anomaly detection.
- Turbo360 aims to help users cut waste, allocate funds precisely, forecast spending accurately, and foster cost accountability.
- It offers a user-friendly platform even for non-FinOps experts, providing context, control, and confidence in cloud financial management.
Serverless360 | 17 Apr, 2025
Google, AWS, and Azure Are Done Letting Vendors Break Their AI Servers
- The growth of AI workloads in Cloud Data Centers has led to the investment in specialized high performance computing servers by cloud providers like Azure, AWS, and GCP.
- These servers, equipped with GPUs, TPUs, and NPUs, cater to the unique hardware requirements of AI workloads, moving cloud service providers from Buy to Make model for server maintenance.
- Hardware diagnostics play a crucial role in ensuring the reliability and stability of AI workloads by identifying and mitigating hardware-related issues like GPU memory errors, thermal throttling, and CPU errors.
- The hardware diagnostics engine comprises layers for telemetry collection, hardware risk scoring, prediction, mitigation, and remediation of hardware faults across various components.
- Telemetry collection involves real-time hardware data collection including GPU drivers, firmware versions, and on-node data to ensure accurate diagnostics.
- Hardware risk scoring is based on patterns like ECC error rates, thermal headroom, and GPU performance degradation, enabling the prediction and mitigation of hardware failures.
- Prediction of hardware faults during LIVE server state and mitigation actions like disk mirroring and error detection aim to maintain uninterrupted services for customers.
- Remediation of hardware faults occurs during the OFFLINE state, focusing on efficiently attributing failures and repairing components for enhanced AI hardware fleet-wide insights.
- The diagnostics metrics and reporting dashboard provide valuable insights into GPU/node health metrics, failure rates, workload impacts, and model training failures to optimize AI hardware health.
- By building robust diagnostics, cloud providers can baseline AI hardware health, correlate failure events with model degradations, and ensure the reliability of AI services in Cloud Data Centers.
Hackernoon | 17 Apr, 2025
What Is a Multi-Cloud Strategy? Your Guide on How to Implement It
- Multi-cloud is the distribution of workloads across multiple cloud services, primarily involving public cloud providers, enhancing flexibility but also making environments more vulnerable, necessitating robust security measures.
- Implementing a multi-cloud strategy requires flexibility, new skills, and consistency across cloud services for security and data integrity.
- Benefits of multi-cloud computing include flexibility, cost optimization, resilience, vendor lock-in avoidance, disaster recovery, and compliance support.
- Complexity, security risks, and personnel costs are disadvantages of multi-cloud computing due to the diversity of platforms and increased attack surface.
- Steps to implement a multi-cloud strategy involve defining objectives, assessing infrastructure, selecting providers, designing architecture, ensuring security and governance, deploying management platform, migration, team training, and monitoring.
- Key components of a multi-cloud strategy include migration, security, automation, connectivity, networking, data management, and monitoring.
- Multi-cloud solutions offer various services like global application delivery for reduced latency and performance enhancement, leveraging multiple cloud providers, and addressing specific needs of AWS, Azure, Google Cloud, and IBM in a single environment.
- A comprehensive multi-cloud strategy ensures seamless migration, security, compliance, operation, data integrity, visibility, and continuous optimization based on monitoring data.
- Organizations choose multi-cloud for disaster recovery, cost optimization, resilience, and avoiding vendor lock-in; Azure hybrid cloud offers various solutions, and multi-cloud management platforms provide central monitoring and optimization.
- Multi-cloud architecture FAQs address reasons for choosing multi-cloud, Azure hybrid cloud solutions, multi-cloud providers, and management platforms.
Cloudwards | 14 Apr, 2025
Generate Route Titles and Descriptions from GPX Files with LLMs and {ellmer}
- This article explores using data science techniques to enhance cycling experiences, specifically focusing on automating the generation of route titles and descriptions from GPX files using the gpxtoolbox and ellmer packages in R.
- GPX files, commonly used for storing cycling routes, contain GPS data and can be processed programmatically to extract route statistics like distance, elevation gain, and key waypoints using the gpxtoolbox package.
- By interfacing with large language models (LLMs) through ellmer, users can automate the creation of descriptive titles and summaries for cycling routes based on the extracted statistics.
- The workflow involves analyzing GPX files, generating route statistics, and then using these statistics to prompt LLMs to produce customized titles and descriptions.
- The integration of gpxtoolbox and ellmer streamlines the process of extracting route information and creating engaging descriptions, saving time and enhancing the planning process for cyclists, hikers, or runners.
- Users must install the gpxtoolbox and ellmer packages, and acquire an API key for LLM providers like OpenAI or Azure OpenAI to utilize the automated title and description generation functionality.
- Through a step-by-step guide, the article demonstrates how to process GPX files, extract route details, and generate descriptive titles and summaries using ellmer, offering a practical solution for enhancing outdoor activities planning.
- The ability to customize prompts and switch between different LLM providers using ellmer provides a versatile approach to working with language models and simplifies the process of generating engaging route descriptions.
- Overall, the combination of gpxtoolbox and ellmer presents a valuable tool for automating the generation of descriptive titles and enhancing the planning experience for various outdoor activities.
R-Bloggers | 12 Apr, 2025
The Ultimate Guide to Choosing the Right Cloud Platform for Machine Learning
- Choosing the best cloud platform for machine learning can transform your projects, offering powerful tools and integration capabilities.
- Platforms like AWS, Azure, and Google Cloud AI offer unique features tailored to different needs.
- AWS SageMaker provides a comprehensive suite of tools that integrate seamlessly with other AWS services.
- Azure ML is designed for enterprises, offering robust security and governance, while Google Cloud AI leverages advanced capabilities like access to TPUs.
Medium | 10 Apr, 2025
🧠 Getting Started with Spring AI: Add LLM Power to Your Spring Boot Apps
- Spring AI is an abstraction layer that helps you integrate LLMs (Large Language Models) like OpenAI, Azure OpenAI, Hugging Face, and more into your Spring Boot application.
- The basic setup for Spring AI involves adding the Spring AI dependency, configuring the AI provider, and injecting and using the AI client in your code.
- Additional features offered by Spring AI include prompt templates, RAG (Retriever-Augmented Generation) support, embedding & vector store support, and compatibility with LangChain4j.
- Real-world use cases of Spring AI include AI search assistant for documentation, LLM-powered chatbot for support, text summarizer or document classifier, code generation assistant, and local inference with Ollama or Hugging Face models.
Dev | 9 Apr, 2025
Simplifying VPC, Subnets, NAT Gateway, Internet Gateway & Route Tables
- VPC is like a private venue for a party, allowing secure cloud network applications in AWS or Azure.
- It prevents IP address exhaustion and unauthorized access by creating isolated private spaces in the cloud.
- Subnets divide a VPC into public and private sections, enhancing security by controlling access.
- Placing resources like databases in private subnets protects them from external attacks.
- Internet Gateway in a public subnet enables external connectivity, while Route Tables manage network traffic within a VPC.
- NAT Gateway provides secure internet access for resources in private subnets in AWS.
- It helps structure resources, control internet exposure, and facilitate secure communication between services.
- Internet Gateway allows services to connect to the public internet securely in a VPC.
- Route Tables direct network traffic within a VPC based on defined rules for secure communication.
- NAT Gateway facilitates outbound internet access for resources in private subnets securely.
Dev | 9 Apr, 2025
The Leading Players Analysis in the Asia Pacific Cloud Computing Market
- AWS holds a leading share across APAC due to its first-mover advantage and scalable cloud infrastructure.
- Azure has made deep inroads through enterprise alliances and integration with Microsoft 365 ecosystem.
- GCP is emerging as a strong player in data analytics, AI, and Kubernetes adoption.
- Alibaba Cloud is gaining traction across Southeast Asia and South Asia, bridging the cloud adoption gap for emerging economies.
Medium | 8 Apr, 2025
Cloud Compute Security Revolutionized Under Guruprasad Venkatesha’s Leadership
- Guruprasad Venkatesha, a renowned expert in cloud compute security, has revolutionized cloud security frameworks, enhancing security standards and operational agility.
- Under his leadership, cloud compute security controls were aligned with globally recognized benchmarks and Azure Compute security measures were integrated to create a robust and easily adoptable baseline.
- Venkatesha's strategic approach reduced risk exposure, streamlined vulnerability management, and accelerated cloud service onboarding, resulting in enhanced operational agility.
- His deep technical expertise, combined with strategic vision, demonstrates how organizations can achieve secure and efficient digital transformations.
Hackernoon | 8 Apr, 2025
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AZURE FAQs
Where is the AZURE headquarters located?
AZURE is headquartered in Beijing.
Does AZURE have good work-life balance?
AZURE has a work-life balance rating of 4.2 out of 5 based on 20+ employee reviews on AmbitionBox. 75% employees rated AZURE 4 or above on work-life balance. This rating reflects the company's efforts to help employees maintain a healthy balance between their personal and professional lives. We encourage you to read AZURE reviews for more details
Is AZURE good for career growth?
Career growth at AZURE is highly regarded, with promotions and appraisal rating of 4.0. 75% employees rated AZURE 4 or above on promotions/appraisal indicating that a significant portion of employees are satisfied with career growth opportunities. We recommend reading AZURE reviews for more detailed insights.
What are the pros of working in AZURE?
Working at AZURE offers several advantages that make it an appealing place for employees. The company is highly rated for job security, company culture and work satisfaction, based on 20+ employee reviews on AmbitionBox.
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