Software Engineer (API & Microservices development)

Job Location:

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

NetApps Azure NetApp Files (ANF) team builds cloud storage services that power enterprise workloads in Microsoft Azure. We are looking for a software engineer focused on designing developing and owning backend microservices and REST APIs used to create manage update and delete service objects across cloud-scale distributed systems. The ideal candidate has strong production software development experience in one or more of Go C or C# has built APIs and microservices through the full software development lifecycle and is comfortable working with containers Docker images Kubernetes-based services databases and modern CI/CD practices.

Job Requirements

Design develop and own production-quality REST APIs and backend service components for ANF cloud services.
Build API functionality end-to-end including design implementation unit and integration testing deployment monitoring and production support.
Develop cloud-native microservices using containerized architectures Docker Kubernetes and modern CI/CD pipelines.
Contribute to service object lifecycle workflows including APIs used to create manage update and delete resources.
Work across the full SDLC translating customer product and platform requirements into scalable secure maintainable services.
Develop or modify Kubernetes-based service components; this role requires engineering depth beyond basic Kubernetes usage or administration.
Use database technologies such as PostgreSQL or MongoDB as part of application and API development including schema-aware service integration and data access patterns.
Collaborate with architects product management partner teams and peer engineers to deliver reliable cloud-service capabilities.
Participate in architecture reviews design discussions code reviews and operational readiness reviews.
Troubleshoot production issues perform root cause analysis and implement long-term improvements for reliability scalability performance and service quality.
Apply AI-assisted engineering practices appropriately to improve day-to-day development productivity while maintaining code quality security and ownership.

Education

Required Qualifications
- 4-8 years of software engineering experience building production software backend services distributed systems or cloud-native platforms.
- Hands-on development experience in at least one of the following languages: Go C or C#.
- Demonstrated experience developing REST APIs or service-to-service integrations as part of core product or platform work.
- Experience building microservices end-to-end including design implementation testing deployment and production support.
- Experience with Docker and containerized service development including building or maintaining Docker images.
- Experience developing or modifying Kubernetes-based services or components; administration-only Kubernetes experience is not sufficient.
- Experience using databases as part of application or API development preferably PostgreSQL or MongoDB. Database administration alone is not the target experience.
- Strong software quality practices including automated testing code reviews CI/CD observability and secure development practices.
- Ability to communicate design tradeoffs implementation plans and project status clearly to technical and cross-functional stakeholders.
- Creative and analytical approach to solving complex engineering problems.
Preferred Qualifications
- Experience building and operating cloud-native distributed systems in Azure AWS or GCP.
- Experience with cloud storage services infrastructure services distributed systems databases data protection or data management platforms.
- Experience with Python for automation tooling validation frameworks CI/CD integration or operational automation.
- Familiarity with React TypeScript event driven / message brokering architecture (rabbitmq Kafka etc).
- Experience applying AI tools responsibly in software development workflows such as code assistance test generation documentation or productivity improvement.
Education
Bachelor of Science in Computer Science Electrical Engineering or equivalent experience. Masters degree preferred.

Compensation:
The target salary range for this position is $180000 - $210000 . The salary offered will be determined by the candidates location qualifications experience and education and may be outside of this range. The range is based on On Target Earnings (OTE) representing the total potential earnings which is the sum of the base salary and potential commission earned when performance targets are achieved. 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 employee stock purchase plan and/or restricted stocks (RSUs). These offerings are subject to regional variations and governed by local laws regulations and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

Required Experience:

Job Summary NetApps Azure NetApp Files (ANF) team builds cloud storage services that power enterprise workloads in Microsoft Azure. We are looking for a software engineer focused on designing developing and owning backend microservices and REST APIs used to create manage update and delete service ob...

Job Summary

Job Requirements

Design develop and own production-quality REST APIs and backend service components for ANF cloud services.
Build API functionality end-to-end including design implementation unit and integration testing deployment monitoring and production support.
Develop cloud-native microservices using containerized architectures Docker Kubernetes and modern CI/CD pipelines.
Contribute to service object lifecycle workflows including APIs used to create manage update and delete resources.
Work across the full SDLC translating customer product and platform requirements into scalable secure maintainable services.
Develop or modify Kubernetes-based service components; this role requires engineering depth beyond basic Kubernetes usage or administration.
Use database technologies such as PostgreSQL or MongoDB as part of application and API development including schema-aware service integration and data access patterns.
Collaborate with architects product management partner teams and peer engineers to deliver reliable cloud-service capabilities.
Participate in architecture reviews design discussions code reviews and operational readiness reviews.
Troubleshoot production issues perform root cause analysis and implement long-term improvements for reliability scalability performance and service quality.
Apply AI-assisted engineering practices appropriately to improve day-to-day development productivity while maintaining code quality security and ownership.

Education

Required Qualifications
- 4-8 years of software engineering experience building production software backend services distributed systems or cloud-native platforms.
- Hands-on development experience in at least one of the following languages: Go C or C#.
- Demonstrated experience developing REST APIs or service-to-service integrations as part of core product or platform work.
- Experience building microservices end-to-end including design implementation testing deployment and production support.
- Experience with Docker and containerized service development including building or maintaining Docker images.
- Experience developing or modifying Kubernetes-based services or components; administration-only Kubernetes experience is not sufficient.
- Experience using databases as part of application or API development preferably PostgreSQL or MongoDB. Database administration alone is not the target experience.
- Strong software quality practices including automated testing code reviews CI/CD observability and secure development practices.
- Ability to communicate design tradeoffs implementation plans and project status clearly to technical and cross-functional stakeholders.
- Creative and analytical approach to solving complex engineering problems.
Preferred Qualifications
- Experience building and operating cloud-native distributed systems in Azure AWS or GCP.
- Experience with cloud storage services infrastructure services distributed systems databases data protection or data management platforms.
- Experience with Python for automation tooling validation frameworks CI/CD integration or operational automation.
- Familiarity with React TypeScript event driven / message brokering architecture (rabbitmq Kafka etc).
- Experience applying AI tools responsibly in software development workflows such as code assistance test generation documentation or productivity improvement.
Education
Bachelor of Science in Computer Science Electrical Engineering or equivalent experience. Masters degree preferred.

Required Experience:

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About Company

NetApp

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