Software Engineer - ANF (Azure NetApp Files)

NetApp; San Jose (CA); Hybrid; USD 113,000 - 168,000; Full time

Benefits offered by this job

Health Insurance

401(k) / Retirement plans

Paid Time Off

Employee stock purchase plan

RSUs

Job summary

NetApp is hiring engineers to build and operate cloud-scale distributed systems for Azure NetApp Files. You will own features through the full software lifecycle, contribute across development, automated validation, performance, and reliability, and work in a collaborative, fast-paced environment with AI-native practices.

The role emphasizes cloud-native design, containers, microservices, Kubernetes, and modern CI/CD with responsibilities spanning storage, networking, and customer-facing

Qualifications

• Bachelor's or higher in a relevant field with experience in cloud-native software.
• 2+ years of related experience in distributed systems preferred.
• Experience with modern CI/CD practices and automated validation.

Responsibilities

• Own data plane performance and scalability of cloud services.
• Deliver features across design, implementation, testing, deployment, and production support.
• Develop and operate microservices-based applications using Kubernetes and containers.

Skills

Python

C/C++

Go

React

TypeScript

C#

RESTful APIs

CI/CD

Kubernetes

Cloud

Education

Bachelor's degree in Electrical Engineering or Computer Science

Masters in Electrical Engineering or Computer Science

Tools

Azure

AWS

Google Cloud

Docker

Job description

Job Summary

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 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.

Key Responsibilities

• Own the functional, performance and scalability of data plane rich with data management.
• Own features through the entire software lifecycle including design, implementation, testing, deployment, monitoring, and production support.
• Design, develop, and operate cloud-native services leveraging containers, microservices, distributed systems principles, and modern CI/CD practices.
• Drive engineering excellence through automated testing, code reviews, operational readiness, and continuous improvement initiatives.
• Collaborate across engineering teams to deliver end‑to‑end solutions spanning storage, networking, cloud infrastructure, security, observability, and customer‑facing experiences.
• Participate in architecture discussions, design reviews, and code reviews to help drive technical excellence and engineering best practices.
• Troubleshoot complex production issues, perform root cause analysis, and implement long‑term reliability, scalability, and operational improvements.
• Work closely with product management, architects, and partner teams to translate customer and business requirements into high‑quality technical solutions.
• Effectively communicate technical concepts, design tradeoffs, and project status to stakeholders across the organization.
• Contribute to the technical growth of the team through knowledge sharing, code reviews, design discussions, and mentorship opportunities.

Job Requirements

• Experience with Python for test automation, validation frameworks, tooling, CI/CD integration, or operational automation.
• Familiarity with C/C++, GO, React, TypeScript, or C# is desirable for engineers to work across existing service components and user‑facing workflows.
• Experience developing RESTful APIs or service‑to‑service integrations.
• Experience designing, deploying, and operating microservices‑based applications using Kubernetes, containers, and modern CI/CD practices.
• Experience with software quality practices including automated testing, performance optimization, and security best practices.
• Experience with observability, monitoring, telemetry, and operational excellence practices.
• Knowledge building and operating cloud‑native distributed systems in Azure, AWS, or GCP.
• Strong aptitude for learning new technologies.
• Possess excellent written and verbal communication skills.
• Creative and analytical approach to problem solving.

Additional Details

Experience Info: If you have a Bachelor's degree and less than 2 years of relevant experience, excluding internships, DO NOT apply to this role. Instead, please apply to Job ID: 135678.

Job Posting Info: This is a pipeline position that will be opened on a recurring basis and used to fill roles aligned with the required skill sets.

Program Dates: These are full‑time roles with a start date in 2026. Recruiting efforts will be ongoing until specific teams find an ideal match.

Education & Experience: Typically requires a Bachelor of Science Degree in Electrical Engineering or Computer Science with 2+ years related experience; a Masters degree in Electrical Engineering or Computer Science with 0+ years related experience; or equivalent experience is required.

Compensation

The target salary range for this position is 113,050 - 168,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

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.

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.