Rubrik Software Engineer – Cloud: Azure Hiring in Bengaluru 2026: Eligibility, Skills and How to Apply
Rubrik is hiring for a Software Engineer – Cloud: Azure position in Bengaluru, Karnataka, for candidates with 0–2 years of relevant work experience. The role is part of the Cloud Native Protection team, which develops technology to help businesses protect, search, and analyse data stored in cloud environments.
This opportunity is relevant to early-career software engineers interested in cloud computing, distributed systems, backend development, and data protection. The work involves designing, developing, testing, deploying, maintaining, and improving software, with engineers taking responsibility for individual projects and technical deliverables.
Candidates with a bachelor’s or master’s degree in Computer Science or a related field can consider applying if they have strong programming fundamentals and an interest in building reliable cloud software.
Job Overview
| Detail | Information |
|---|---|
| Company | Rubrik |
| Position | Software Engineer – Cloud: Azure |
| Location | Bengaluru, Karnataka, India |
| Experience | 0–2 years |
| Qualification | Bachelor’s or master’s degree, or equivalent, in Computer Science or a related field |
| Programming languages | Go, Java, C/C++, Scala, Python, or another suitable general-purpose language |
| Team | Cloud Native Protection |
| Cloud knowledge | AWS, Azure, GCP, or other public-cloud technologies are a plus |
| Containers | Docker, Kubernetes, and microservices knowledge are a plus |
| Salary | Not specified in the supplied job description |
| Application deadline | Not specified in the supplied job description |
What Does the Cloud Native Protection Team Do?
Businesses increasingly rely on cloud infrastructure to store and process important information. That data needs protection against accidental loss, operational failures, and cyberattacks.
Rubrik’s Cloud Native Protection team focuses on helping customers protect, search, and analyse cloud data at scale. Software engineers contribute to the underlying software that supports these capabilities.
For an engineer, this means thinking beyond whether a program works for one user or one request. Cloud software must also be designed with reliability, scalability, maintainability, and failure handling in mind.
For example, a cloud-based data protection service may need to process requests from multiple customers, manage operations across distributed components, and respond appropriately when a service or network connection fails. These examples illustrate the broader engineering challenges associated with the domain; the supplied listing does not specify the exact project assigned to this vacancy.
Key Responsibilities
The role covers the software development lifecycle rather than a single programming task.
Software development: Design and implement features using a general-purpose programming language, following sound software engineering principles.
Testing and maintenance: Test changes, investigate defects, maintain existing code, and improve software quality.
Cloud and distributed systems: Build software with an understanding of cloud technologies and distributed computing concepts.
Project ownership: Manage individual project priorities, deadlines, and deliverables with technical judgement.
Engineering collaboration: Work independently when appropriate and collaborate with teammates on complex, time-sensitive projects.
The description emphasises responsibility and self-direction. Candidates should therefore be ready to explain not only how they write code, but also how they break down a problem, test a solution, and take ownership of the result.
Eligibility Criteria
The supplied job description identifies the following requirements:
- A bachelor’s or master’s degree, or equivalent qualification, in Computer Science or a related field.
- Between 0 and 2 years of relevant work experience.
- Proficiency in one or more general-purpose programming languages, such as Go, Java, C/C++, Scala, or Python.
- Strong problem-solving skills and attention to detail.
- A solid understanding of the Software Development Life Cycle (SDLC), design patterns, and software engineering principles.
- Strong communication and collaboration skills.
- The ability to work independently or as part of a team.
Experience with AWS, Azure, GCP, Docker, containers, Kubernetes, and microservice architectures is described as a plus rather than a mandatory requirement in the supplied listing.
The description does not specify a minimum CGPA, a particular graduation batch, or a mandatory certification. Check the official application page for any additional criteria.
Technical Skills to Prepare
1. Programming and data structures
Start with the language you know best. The listing accepts several programming languages, so demonstrating depth in one language is more useful than listing many languages without practical experience.
Revise arrays, strings, hash maps, linked lists, stacks, queues, trees, sorting, searching, recursion, and basic algorithmic complexity. Practise explaining why a solution works and how you would improve it.
2. Distributed systems fundamentals
Distributed systems are particularly relevant to software that operates across cloud services and multiple machines.
Focus on understanding:
- How services communicate over a network.
- What happens when a service becomes unavailable.
- Why retries and timeouts matter.
- How concurrent requests can create problems.
- The difference between scaling vertically and horizontally.
- Why reliability and observability matter in production software.
These are useful preparation topics for the team’s stated focus on cloud and distributed systems, although the job description does not prescribe a specific interview syllabus.
3. Cloud computing
The position title names Azure, while the requirements also mention AWS, GCP, and other public-cloud platforms. The listing says public-cloud experience is a plus, so it does not establish Azure experience as a strict prerequisite.
If you are new to cloud computing, learn the basics of compute, storage, networking, identity and access management, logging, and monitoring. Then practise deploying a small application to a cloud environment if you have access to one.
Understanding the purpose of these services and their trade-offs is more useful than memorising product names alone.
4. Docker, Kubernetes, and microservices
These technologies are listed as preferred knowledge.
- Docker and containers: Understand how applications and their dependencies can be packaged into portable environments.
- Kubernetes: Learn its role in deploying and managing containerised applications.
- Microservices: Understand how an application can be divided into independently developed and deployed services, along with the added complexity this introduces.
You can begin with a small application packaged in Docker before exploring orchestration with Kubernetes.
5. SDLC, design patterns, and software quality
Review how software moves from requirements and design through implementation, testing, deployment, and maintenance. Be able to explain why code reviews, automated tests, version control, and clear documentation improve engineering quality.
Learn common design principles and a few practical design patterns, but focus on when they are useful rather than memorising definitions.
A Portfolio Project for Cloud Software Engineering
A practical project that combines programming, APIs, containers, and reliability concepts can help demonstrate relevant skills.
Project idea: Cloud file metadata and recovery simulator
Build a small service that accepts file metadata, stores records, and lets users retrieve or restore a previous version of a record. Use sample files or synthetic data rather than real customer information.
Suggested implementation:
- Build a backend API using Go, Java, or Python.
- Store file identifiers, timestamps, versions, and metadata in a database.
- Add endpoints for creating, retrieving, and listing versions.
- Implement validation and clear error responses.
- Package the application with Docker.
- Add automated tests for successful requests, invalid inputs, and unavailable dependencies.
- Document how the service behaves when a request fails or a component becomes unavailable.
This is a learning project, not a reproduction of Rubrik’s proprietary systems. It can demonstrate backend programming, API design, data modelling, testing, and container fundamentals.
To make the project more compelling, explain the limitations of your design and how you would approach access control, monitoring, recovery testing, and scaling. Avoid claiming production-grade security or reliability unless you have actually implemented and tested it.
Interview Preparation for Early-Career Candidates
Rubrik’s supplied description does not confirm the number or format of interview rounds. The following topics are sensible preparation priorities based on the advertised responsibilities.
| Topic | What to practise |
|---|---|
| Coding | Data structures, algorithms, edge cases, and complexity |
| Programming language | Core syntax, collections, error handling, and clean code |
| Computer science | Operating systems, networking, concurrency, and database basics |
| Distributed systems | Failures, timeouts, retries, and communication between services |
| Cloud | Compute, storage, networking, and basic deployment concepts |
| Containers | Docker fundamentals and the purpose of Kubernetes |
| Software design | Modularity, design principles, maintainability, and testing |
| Project discussion | Architecture, trade-offs, debugging, and lessons learned |
Prepare one project that you can explain from beginning to end. Be ready to describe the problem, your implementation, the most difficult bug, the testing process, and what you would change in a second version.
When answering technical questions, explain your reasoning clearly. If you do not know a specific technology, acknowledge the gap and explain how you would investigate the problem.
Who Should Apply?
This vacancy may suit candidates who:
- Have a Computer Science or related educational background.
- Have 0–2 years of relevant experience.
- Are comfortable with at least one general-purpose programming language.
- Enjoy solving algorithmic and software engineering problems.
- Want to develop deeper knowledge of cloud infrastructure and distributed systems.
- Are willing to learn containerisation, microservices, and cloud technologies.
- Can communicate technical decisions and work collaboratively.
Candidates do not need to claim expertise in every preferred technology. A solid programming foundation, a clear understanding of software engineering principles, and the ability to demonstrate problem-solving are central to the listed requirements.
How to Apply for Rubrik Software Engineer – Cloud: Azure
Use Rubrik’s official engineering careers page to find the Software Engineer – Cloud: Azure opening under the Bengaluru office and confirm that applications are still open.
Official careers page: Rubrik Engineering Careers
Before applying:
- Review the live job description and any additional eligibility conditions.
- Update your resume with your strongest programming language and relevant projects.
- Include cloud, container, or distributed-systems experience if you genuinely have it.
- Add a portfolio or repository link if it demonstrates working, well-documented code.
- Prepare to explain your design choices, debugging process, and individual contribution to each project.
The supplied job description does not provide a confirmed salary figure or application deadline. Verify these details through the employer’s live listing rather than relying on unverified third-party estimates.
Frequently Asked Questions
Is Rubrik Software Engineer – Cloud: Azure suitable for freshers?
The role lists 0–2 years of relevant work experience, so it may be suitable for fresh graduates and other early-career candidates who meet the educational and technical requirements.
Is Azure mandatory?
The title identifies Azure, but the supplied requirements describe AWS, Azure, GCP, or other public-cloud experience as a plus. Applicants should confirm whether the live listing adds any more specific Azure requirements.
Which programming languages are accepted?
The listing names Go, Java, C/C++, Scala, and Python as examples of suitable general-purpose programming languages.
Are Docker and Kubernetes mandatory?
No. In the supplied description, knowledge of Docker, containers, Kubernetes, and microservice architectures is listed as a plus.
What qualification is required?
A bachelor’s or master’s degree, or equivalent, in Computer Science or a related field is listed.
What is the salary for this position?
The supplied job description does not state a salary figure. Check the official listing or ask the recruiter for current compensation details.
What is the application deadline?
No deadline is included in the supplied description. Check the live Rubrik careers page for current application status.