Overview
On Site
USD 108,800.00 - 162,800.00 per year
Full Time
Skills
NetApp
Cloud Storage
System Integration
Debugging
Product Management
Documentation
Testing
Test Plans
Continuous Improvement
Software Development
Cloud Computing
Programming Languages
C
C++
Python
Scripting
Linux
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Kubernetes
SQL
Database
MongoDB
Apache Cassandra
Cosmos-Db
Continuous Delivery
Jenkins
GitLab
Continuous Integration
Terraform
ARM
Automated Testing
Artificial Intelligence
Machine Learning (ML)
PyTorch
TensorFlow
Soft Skills
Conflict Resolution
Problem Solving
Analytical Skill
Communication
Collaboration
Attention To Detail
SAP BASIS
Health Insurance
Life Insurance
Recruiting
Job Details
Job Summary
Are you passionate about cloud technologies and eager to develop innovative cloud-based solutions? NetApp is looking for talented and motivated Software Engineers to join our Cloud Engineering team. As a Software Engineer in Cloud Storage, you will play a crucial role in developing and maintaining cloud-based solutions, focusing on solving complex problems and automation.
Job Requirements
Technical Skills:
Soft Skills:
Additional Details:
Timeline:
Education
Typically requires a Bachelor's degree with a minimum of 2 years relevant experience, a Master's degree with no experience, or equivalent work experience
Compensation:
The target salary range for this position is 108,800 - 162,800 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 (PTO), 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.
Are you passionate about cloud technologies and eager to develop innovative cloud-based solutions? NetApp is looking for talented and motivated Software Engineers to join our Cloud Engineering team. As a Software Engineer in Cloud Storage, you will play a crucial role in developing and maintaining cloud-based solutions, focusing on solving complex problems and automation.
- Software Development: Assist in designing, developing, and maintaining software solutions according to project requirements and established software development standards
- System Integration: Support the integration of various cloud services and APIs to enhance the functionality and performance of our cloud solutions
- Debugging and Troubleshooting: Identify, troubleshoot, and resolve system defects and issues. This includes debugging code, resolving configuration issues, and fixing software defects
- Collaboration: Work closely with cross-functional teams, including product management, operations, and other engineering teams, to deliver high-quality cloud solutions
- Documentation: Create and maintain comprehensive documentation for software designs, APIs, and testing procedures. Develop, modify, and review test plans
- Continuous Improvement: Identify and implement improvements in software development processes, tools, and methodologies
- Support: Provide support for cloud marketplace offerings, including troubleshooting and resolving customer issues with a sense of urgency
Job Requirements
Technical Skills:
- Proficiency in programming languages such as C, C++, Python, and scripting languages
- Experience working with Linux, AWS, Azure, Google Cloud Platform, and Kubernetes
- Experience with SQL and Document Databases (e.g., MongoDB, Cassandra, Cosmos DB, DocumentDB)
- Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI)
- Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation, ARM)
- Experience with automated testing frameworks and tools
- Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus
Soft Skills:
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Ability to work independently and as part of a team
- Attention to detail and a commitment to quality
Additional Details:
- Experience Info: If you have a Bachelor's degree and less than 2 years of relevant experience, excluding internships, please DO NOT apply to this role. Instead, please apply to Job ID: 132236.
- 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: This is a full-time role with a start date in late 2025 or early 2026. Recruiting efforts will be ongoing until specific teams find an ideal match
Timeline:
- Applications open: October 2025
- Applications close: This application will close in early January 2026
- Interviews: will occur on an as needed basis
Education
Typically requires a Bachelor's degree with a minimum of 2 years relevant experience, a Master's degree with no experience, or equivalent work experience
Compensation:
The target salary range for this position is 108,800 - 162,800 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 (PTO), 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.