Job Overview

Microsoft is hiring a Software Quality Engineer in Bangalore, Karnataka, for the Azure Storage team. This remote, full-time role focuses on quality strategy, validation architecture, release readiness, and operational reliability for Azure Container Storage.

The position is centered on cloud-native storage services that support Kubernetes-based workloads at large scale. The engineer will help ensure that storage capabilities are reliable, scalable, upgradeable, performant, and ready for production use. The role combines software quality engineering with distributed systems, Kubernetes storage, infrastructure validation, service operations, and customer-focused quality improvements.

The successful candidate will work with Software Engineers, Product Managers, and partner teams to identify risks early, influence architecture and design decisions, establish quality standards, and improve validation practices throughout the software development lifecycle.

Key Responsibilities

• Lead end-to-end validation activities for cloud platform services, covering reliability, scalability, upgradeability, customer experience, and production readiness.
• Define and improve quality strategies for complex distributed systems and cloud-native infrastructure.
• Develop validation approaches and test coverage strategies that help identify product risks before release.
• Participate in architecture and design discussions and use quality insights to influence technical decisions.
• Establish quality standards, release governance practices, and production readiness criteria.
• Lead release readiness reviews and help determine whether platform capabilities are prepared for production.
• Use customer feedback, telemetry, service data, and live-site learnings to identify opportunities for quality improvements.
• Participate in service operations and on-call responsibilities as a Designated Responsible Individual when required.
• Monitor services for degradation, downtime, or interruptions and support appropriate recovery actions for straightforward incidents.
• Work closely with engineering and product teams to address quality risks across the software development lifecycle.
• Mentor engineers and encourage strong quality engineering practices across teams.
• Improve validation efficiency and test coverage through automation and well-designed test infrastructure.

Required Skills

Candidates should have experience in software engineering and quality engineering for complex technical systems. The role requires a strong understanding of validation strategy, test architecture, distributed systems, cloud platforms, and production readiness.

Experience with one or more programming languages such as C, C++, C#, Java, JavaScript, or Python is required. Candidates should also understand software development fundamentals and be comfortable working with engineering teams on testing, quality, troubleshooting, and release activities.

A strong quality mindset is important. The engineer should be able to identify risks early, evaluate system behavior, understand customer impact, and translate findings into practical engineering improvements.

Preferred Skills

Experience validating cloud-native platforms, Kubernetes environments, distributed systems, or infrastructure services at scale is highly valuable. Candidates with backgrounds supporting enterprise or hyperscale cloud services are particularly relevant.

Knowledge of Kubernetes storage ecosystems, CSI architecture, stateful workloads, persistent storage, and storage lifecycle operations is preferred. Relevant storage lifecycle areas include provisioning, expansion, snapshots, cloning, backup and restore, upgrades, and operational workflows.

Experience with release governance, quality metrics, test coverage, production readiness reviews, incident management, telemetry-driven improvements, and customer issue analysis is also beneficial.

Candidates may also have experience with storage fundamentals such as availability, resiliency, disaster recovery, scalability, capacity management, performance, and operational excellence. Familiarity with AI-assisted engineering tools for improving test effectiveness or engineering productivity is an additional advantage.

Education

The required qualification is a Bachelor's Degree in Computer Science or a related technical field, or equivalent experience. A Master's Degree in Computer Science or a related technical field is preferred.

Experience

The minimum required experience is 4 years of technical engineering experience when combined with the required Bachelor's Degree. Preferred qualifications include 6 or more years with a Master's Degree, or 8 or more years with a Bachelor's Degree. Equivalent experience may also be considered.

Candidates should ideally have experience in quality engineering, cloud infrastructure, distributed systems, Kubernetes, automation, validation, or large-scale platform engineering.

Required Technologies

• C
• C++
• C#
• Java
• JavaScript
• Python
• Kubernetes
• Azure
• Azure Container Storage
• CSI
• Cloud-Native Platforms
• Distributed Systems
• Persistent Storage
• Storage Lifecycle Management
• Test Automation
• Test Infrastructure
• Telemetry
• AI-Assisted Engineering Tools

Soft Skills

The role requires strong collaboration because quality decisions depend on close interaction with Software Engineers, Product Managers, and partner teams. Clear technical communication is important when discussing risks, test results, architecture decisions, and release readiness.

The engineer should be comfortable taking ownership of quality outcomes, working through complex problems, mentoring other engineers, and influencing teams without relying solely on formal authority. Attention to detail, structured troubleshooting, and a customer-focused approach are also important.

Benefits of Working in this Role

This position provides an opportunity to work on Azure cloud storage technology and large-scale distributed systems. Engineers can develop deeper expertise in Kubernetes storage, cloud-native infrastructure, validation architecture, reliability, service operations, and production readiness.

The role also offers exposure to quality strategy and architecture decisions for systems operating at significant scale. Experience with Azure Storage and Kubernetes-based infrastructure can support future career paths in cloud engineering, quality engineering, distributed systems, platform engineering, SRE, and infrastructure reliability.

Work Mode

The Microsoft listing specifies 0 days per week in-office and identifies the role as remote. It is a full-time individual contributor position based in Bangalore, with travel listed as less than 25%.

Location

The position is listed for Bangalore, Karnataka, India. The work arrangement is remote according to the supplied job posting.

Who Should Apply

This opportunity is suited to experienced Software Quality Engineers, Quality Engineers, Software Engineers, Cloud Engineers, and infrastructure-focused engineers who have worked with complex software platforms.

Candidates with experience in Kubernetes, distributed systems, cloud services, infrastructure validation, storage systems, test automation, quality strategy, or production service operations should consider applying. Engineers who can combine technical depth with quality leadership and cross-team collaboration are especially aligned with the role.

Career Growth

The position can support career development across cloud quality engineering, distributed systems, Kubernetes infrastructure, storage platforms, reliability engineering, test architecture, and technical quality leadership. Experience defining quality strategy and influencing architecture can also prepare engineers for senior quality engineering and technical leadership opportunities.

Application Advice

Applicants should tailor their resumes to show measurable quality and engineering outcomes. Highlight experience with Kubernetes, cloud platforms, distributed systems, storage, automation, test architecture, release governance, incident management, telemetry, and production readiness where applicable.

If you have worked on large-scale services, explain the system scale, the risks you identified, the validation methods you introduced, and the improvements achieved. Candidates should also mention programming experience, test automation, mentoring, architecture collaboration, and any use of AI-assisted engineering tools.

Applicants must be able to meet the Microsoft, customer, and government security screening requirements stated in the listing, including the Microsoft Cloud Background Check.

The supplied job listing was posted on August 13, 2026. Candidates should verify the current vacancy status and application requirements on the official Microsoft careers page before applying.