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NetApp · Bengaluru, Karnataka, India

Senior Software Engineer (AI / Golang / Python / Distributed / Cloud)

Bengaluru, Karnataka, IndiaSenior individual contributorSoftware Engineering

Listed on NetApp’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.

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Job description

Job Summary

We are looking for a Lead Software Engineer to lead a high-performing engineering team building scalable APIs and data platforms. You will own delivery and technical direction while driving AI-first engineering practices using automation and intelligent tooling to improve how we design, build, ship, and operate software. You will balance hands-on technical leadership with operational excellence, and a strong focus on quality and reliability.

Job Requirements

  • 8+ years of software engineering experience
  • Strong hands-on background with Go and Python in production systems Experience building and operating APIs (REST and/or GraphQL) at scale Deep familiarity with PostgreSQL, Redis, and ClickHouse (or comparable OLTP + cache + OLAP stack)
  • Proven experience with observability and monitoring using ELK and Grafana Practical understanding of Data Lakehouse concepts: data ingestion, warehousing/lake patterns, and analytics pipelines
  • Track record of engineering excellence: code review culture, CI/CD, testing strategy, and technical debt management
  • Demonstrated operational excellence: incident management, SLOs, production support, and reliability improvements
  • Strong talent management skills: hiring, coaching, performance management, and team building
  • Excellent communication and stakeholder management across technical and non-technical audiences Commitment to AI-first engineering: actively using AI tools to improve team productivity, quality, and decision-making Education IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.a 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.

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