Staff Software Engineer (Fullstack Distributed Cloud Microservices)

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 NetApps 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.

Overall 12 years of experience 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 systems cloud-native products 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 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.

Preferred Qualifications

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.

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