Are you passionate about cloud technologies and eager to develop innovative cloud-based solutions? NetApp's Azure NetApp Files (ANF) team is building industry-leading cloud storage services that power mission-critical enterprise workloads in Microsoft Azure. We are looking for a highly motivated engineers to help develop and operate cloud-scale distributed systems that span storage, networking, cloud infrastructure, and user experience. This is a unified engineering role where engineers are expected to contribute across development, automated validation, performance, operational readiness, and service reliability. The ideal candidate enjoys solving complex technical challenges, takes ownership from design through production, and thrives in a collaborative, fast-paced environment. While programming language experience, we expect engineers to incorporate AI-native engineering practices
Job Requirements
Own the design, development, performance, scalability, reliability, and operational excellence of data-plane services and data management systems.
Lead features through the full software lifecycle, including architecture, implementation, testing, deployment, monitoring, troubleshooting, and production support.
Design, develop, and operate cloud-native, distributed systems using microservices, containers, Kubernetes, and modern CI/CD practices.
Build and maintain scalable, secure, production-quality backend services, APIs, and service integrations with a strong focus on automation, observability, and software quality.
Drive engineering excellence through code reviews, automated testing, performance optimisation, security best practices, and continuous improvement initiatives.
Collaborate closely with product management, architects, and cross-functional engineering teams to deliver end-to-end solutions across storage, cloud infrastructure, networking, security, and customer-facing services.
Participate in architecture reviews, technical discussions, and design decisions, while mentoring team members and contributing to technical growth across the organisation.
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Troubleshoot complex production issues, conduct root cause analysis, and implement long-term reliability and scalability improvements.
Effectively communicate technical solutions, design trade-offs, and project progress to stakeholders at all levels.
8+ years of experience in software or systems engineering, with 3+ years of experience in data management systems and storage platforms (e.g., NetApp ONTAP or similar technologies).
Experience leading small to medium-sized technical projects and driving deliverables from concept to production.
Strong experience in one or more of the following areas: cloud storage services, distributed systems, file systems, databases, data protection, infrastructure services, or related technologies.
Strong proficiency in Go for developing scalable backend services; experience with Python for automation, testing frameworks, CI/CD, and operational tooling.
Familiarity with C/C++, C#, React, or TypeScript is desirable.
Hands-on experience developing RESTful APIs and operating microservices-based applications using Kubernetes and container technologies.
Experience building and operating cloud-native distributed systems on Azure, AWS, or GCP.
Strong understanding of software quality, observability, monitoring, telemetry, performance optimisation, and security practices.
Excellent analytical, problem-solving, communication, and collaboration skills, with a passion for learning new technologies.
Education
Bachelor’s degree in Computer Science, Engineering, or a related technical field and 8–12 years of relevant software development experience, or a Master’s degree with 6–10 years of related experience, or equivalent practical experience.
Demonstrated ability to design and deliver complex software systems, with expertise in distributed systems, cloud-native technologies, and large-scale production environments.
Strong commitment to continuous learning and staying current with emerging technologies, industry trends, and software engineering best practices.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.
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