Staff Software Engineer (Fullstack / Distributed / Cloud)

NetApp, Inc.

Hinoba-an

Hybrid

PHP 1,800,000 - 2,400,000

Full time

7 days ago
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Job summary

NetApp is seeking a Staff Engineer in Cloud Storage to lead the most challenging projects across AWS, Azure, and GCP. You will architect fault-tolerant, scalable cloud systems, decompose problems, and drive engineering best practices in a fast-paced environment.

You will collaborate with cross-functional teams, influence architectural decisions, and deliver high-quality solutions that power SaaS offerings and data infrastructure at scale.

Qualifications

  • 12+ years in software development.
  • 5+ years in fault-tolerant, scalable cloud architectures on at least one hyperscaler (AWS, Azure, or GCP).
  • Ability to build end-to-end systems on major initiatives.
  • Design distributed full-stack systems and scale them to production.
  • Proactive and self-driven with strong technical judgment.
  • Experience in code reviews and architectural decision-making.

Responsibilities

  • Lead and execute complex cloud storage projects.
  • Architect distributed full-stack systems for production-scale deployments.
  • Collaborate across engineering, product, and leadership.
  • Make high-quality design decisions under ambiguity, balancing performance and cost.

Skills

Cloud architecture
End-to-end systems
Team leadership
Communication
Problem solving
Programming languages

Education

BTech/BE in CS or EE
Master's degree

Tools

Docker
Kubernetes
Terraform
CloudFormation
Git

Job description

Job Summary

NetApp is uniquely placed in the industry and in a unique position partnering with major hyper scalers (AWS, GCP and Azure) which adds a new challenge for driving innovation in the space of Service Fundamentals. Cloud Storage team is embarking on a new charter to address these challenges for Cloud native applications, of simplifying customer operations and being a key differentiator. Bring in your experience and expertise for the new frontier, to build best in class SaaS applications, woven with architecture and design that are deployed across multiple hyper scalers. This is an opportunity to challenge yourself with cutting-edge technologies and thrive.

As a Staff Engineer in NetApp's Cloud Storage organization, you will lead and execute our most challenging and complex projects. You will have an opportunity to work on AWS, Azure and GCP and use cutting edge technology to provide innovative solutions. You will be responsible for architecture, decomposing problems into simple solutions, understanding cloud architecture, performance, scalability, bringing engineering best practices, and testing methods to the team.

Job Requirements
  • 12+ years in software development.
  • 5+ years hands-on with fault-tolerant, highly scalable cloud architectures, including service-oriented and cloud-native services (FaaS, PaaS) on at least one hyperscaler (AWS, Azure, or GCP).
  • Ability to build end to end system on major initiatives.
  • Design distributed full stack system and scale them to production.
  • Proactive and self-driven, with strong technical judgment.
  • Expertise in providing detailed design while contributing to implementation, design and code reviews.
  • Make high-quality day to day technical decisions under ambiguity, trading off performance, maintainability, cost, and time-to-market, and choosing a path the team can execute.
  • Strong experience in one or more of Node.js, Python, Java, Go, or Rust. Front-end experience (TypeScript, React or Angular) is a plus.
  • Work effectively across engineering, product, and leadership.
  • Excellent communication skills, with the ability to effectively engage with customers, stakeholders, and the engineering community.
  • Preference for experience in designing data analytics, data migration systems & storage platforms.
  • Preference for experience with filesystems, or file/cloud storage protocols. Experience in NFS/SMB/iSCSI protocols.
  • Built customer facing products, APIs, or SDKs used by external customers at scale.
  • Containerization and orchestration (Docker, Kubernetes) and infrastructure code (Terraform, CloudFormation).
  • Prior experience as a technical lead in a high-performance engineering organization.
Education

BTech/BE in Computer Science or Electrical Engineering, a Master's degree, or equivalent experience with 12 to 18 years of experience.

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'll drive everything we do.

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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