Location
In office (Usa)
Seniority
Junior · 2+ years exp
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 9, 2026. NetApp scores A on the Alion truth index.
Overview
Company
Impact
Profile match
NetApp is an American data infrastructure company that makes enterprise storage systems and data management software. Founded in 1992, it sells all-flash and hybrid arrays running its ONTAP operating system for file, block and object storage, and offers ONTAP-based services inside the large public clouds, such as Amazon FSx for NetApp ONTAP and Azure NetApp Files, along with data protection and ransomware recovery tools. The company is headquartered in San Jose, California, United States.
Backed by Sequoia Capital, Menlo Ventures
Job Summary
As an engineer in the NetApp’s CPTO organization, you will be executing our most challenging and complex projects. You will be responsible for contributing across the product development lifecycle using Agentic AI, automated validation, performance tuning and operational readiness.
You'll have the opportyunity to:
- Contribute to the technology strategy by coding to accelerate the pace of innovation
- Be able to contribute to new products by writing code that scales sustainably and can tune through systemic changes with velocity
- Work under the mentorship of principal and distinguished engineers and be the technical bar-raiser for senior and principal technical roles.
- Execute swift delivery by coding systems that connect large scale data with analytics and AI agents for enterprise workloads
Job Requirements
- 2-5 years of hands-on experience with Go, python & React is required
- Familiarity with the design and development of system software
- Experience in the Storage/Cloud Domain is a plus
- Strong conceptual understanding of OS internals
- Expertise in algorithms, data structures, and multi-threaded programming is essential
- Commitment to sound software engineering practices and a passion for quality
- Proven track record of meeting tight deadlines without sacrificing quality
- Ability to understand customer deployment scenarios and experience in collaborating with peer teams outside of engineering
- Be proficient in using AI in coding and understanding of AI/ML
- Familiarity with database technologies such as NoSQL, Prometheus and datalake
- Hands-on experience with code conversion tools like Git,
- Knowledge of software development methodologies - SCRUM/AGILE/LEAN
- Knowledge of software deployment - Docker/Kubernetes
Education
- Bachelor/Master of Engineering in Computer Science; or equivalent experience
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