Lead Software Engineer - Cloud Storage; GO , Python automation

Own Every Moment at Net App

At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, Net App is where your journey begins. Join teams that drive results, innovate to elevate, and excel together across every function.

Are you passionate about cloud technologies and eager to develop innovative cloud-based solutions? Net App's Azure Net App Files (ANF) team is building industry‑leading cloud storage services that power mission‑critical enterprise workloads in Microsoft Azure. We are looking for 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.

• 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.
• 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., Net App ONTAP or similar technologies).
• Strong proficiency in Go for developing scalable backend services; experience with Python for automation, testing frameworks, CI/CD, and operational tooling.
• 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.
• Familiarity with C/C++, C#, React, or Type Script 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…