Lead Software Engineer; API & Microservices development

Job Summary

Net App's Azure Net App Files (ANF) team builds cloud storage services that power enterprise workloads in Microsoft Azure. We are looking for a senior 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.

• 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.

Required Qualifications

• 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 leading small to medium engineering projects or owning major service components from design through release.
• Experience with Python for automation, tooling, validation frameworks, CI/CD integration, or operational automation.
• Familiarity with React, Type Script, event driven / message brokering architecture (rabbitmq, Kafka, etc).
• Experience applying AI tools responsibly in software development workflows, such as code assistance, test generation,…