Software Engineer

Job Summary

NetApp's Marketplace Core team is building the next generation of marketplace infrastructure that enables customers to discover, purchase, provision, and manage NetApp products across AWS, Azure, Google Cloud, and future marketplace ecosystems.

At the center of this effort is the Marketplace Control Tower (MCT), NetApp's centralized control plane for marketplace operations. MCT automates private offers, subscription management, entitlement workflows, billing visibility, marketplace integrations, and operational governance across hyperscalers. Alongside MCT, the team develops Digital Wallet and other platform services that simplify how customers transact with NetApp through cloud marketplaces.

We are looking for a Senior Software Engineer who enjoys solving complex distributed systems challenges, designing scalable cloud services, and building platforms used by product teams across the company. You will help shape the architecture, APIs, workflows, and operational foundations that enable NetApp's marketplace business to scale.

This is a highly collaborative, high-ownership role where engineers participate in the entire product lifecycle-from design and implementation through deployment, operations, and customer impact.

What You Will Build

• Design and build scalable cloud services that power marketplace transactions, subscriptions, entitlements, billing visibility, and workflow automation.

• Develop core services for the Marketplace Control Tower (MCT), including APIs, orchestration engines, automation workflows, and marketplace connectors.

• Build integrations with AWS Marketplace, Microsoft Azure Marketplace, Google Cloud Marketplace, Salesforce, CPQ systems, and other enterprise platforms.

• Design and implement APIs, SDKs, and platform capabilities that enable internal engineering teams to integrate with marketplace functionality.

• Build workflow-driven solutions for private offer creation, approvals, provisioning, entitlements, metering, billing, and operational governance.

• Contribute to marketplace telemetry, analytics, monitoring, and operational dashboards that improve visibility into platform health and customer outcomes.

• Design data models, service boundaries, event-driven architectures, and integration patterns that can scale across multiple cloud providers.

• Improve platform reliability, observability, operational excellence, and security.

• Own features end-to-end, including requirements, architecture, implementation, testing, deployment, and production support.

• Mentor engineers and contribute to engineering best practices across the organization.

AI-Native Engineering Culture

• Our team embraces an AI-first development approach. Engineers are expected to use modern AI tools daily to accelerate design, implementation, testing, debugging, documentation, and operational activities.

• We view AI as a force multiplier for engineering productivity and expect candidates to demonstrate how they effectively partner with AI systems while maintaining strong engineering judgment, code quality, security, and operational excellence.

• Successful candidates will have experience working with tools such as Cursor, Claude, OpenAI, and GitHub Copilot and will be excited to help define how AI transforms software engineering within NetApp.

Required Qualifications

• 8+ years of professional software development experience.

• 3+ years building and operating cloud-native distributed systems at scale.

• Experience designing and supporting highly available, fault-tolerant services in production environments.

• Proven experience designing and delivering cloud-native applications that meet real-world scale, performance, and reliability requirements.

• Strong backend development experience in Go. Experience with Python or Node.js is a plus.

• Experience building RESTful APIs, microservices, and event-driven systems.

• Experience with SQL and NoSQL databases and designing scalable data models.

• Experience building CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or similar technologies.

• Strong understanding of distributed systems, service-oriented architecture, and cloud-native development principles.

• Experience working with containers and orchestration platforms such as Docker and Kubernetes.

• Knowledge of authentication, authorization, API security, encryption, and modern security practices.

• Experience using AI-assisted software development workflows as a primary development model.

• Demonstrated proficiency with modern AI coding tools such as Cursor, Claude, OpenAI, and GitHub Copilot.

• Experience leveraging LLMs to accelerate software development, including code generation, refactoring, test creation, documentation, debugging, and architectural design.

• Understanding of prompt engineering, context management, token optimization, model selection, and practical techniques for improving AI-assisted development productivity.

• Experience measuring and optimizing AI development workflows, including model selection, context management, token consumption, and prompt effectiveness.

• Demonstrated ability to effectively leverage AI agents and coding assistants to increase engineering productivity while maintaining ownership of design, architecture, testing, and operational excellence.

• Ability to independently deliver large features and systems using AI-accelerated development practices while maintaining high standards for code quality, reliability, security, and maintainability.

• Ability to evaluate tradeoffs, drive architectural discussions, and make sound technical decisions.

• Strong communication and collaboration skills with product managers, architects, and engineers.

• Experience mentoring engineers and sharing best practices for AI-assisted development.

Preferred Qualifications

• Experience working with cloud marketplaces, commerce systems, subscription platforms, SaaS billing systems, or procurement platforms.

• Experience building workflow orchestration systems, automation platforms, or control-plane services.

• Familiarity with AWS, Azure, and Google Cloud APIs and service ecosystems.

• Experience integrating with enterprise systems such as Salesforce, CPQ platforms, identity systems, or financial systems.

• Experience implementing event-driven architectures using Kafka, Event Hub, Pub/Sub, or similar technologies.

• Experience with infrastructure-as-code tools such as Terraform or CloudFormation.

• Experience building observability solutions using OpenTelemetry, Dynatrace, Grafana, Prometheus, or equivalent tooling.

• Experience building platform services used by multiple engineering teams.

• Familiarity with AI agents, agentic workflows, MCP, RAG, or LLM-integrated applications is a plus.

Education

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's Degree Preferred.

Compensation:

The target salary range for this position is 170,000 - 253,000 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, 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.

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We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.