Senior Software Engineer

At NetApp, our High Achievement Principles shape how we work: we innovate to elevate, drive results, and excel as a team. We have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.

Success profile

Ready to be an engineer at NetApp? Explore the traits that can help you thrive.

Analytical

Adaptable

Communicator

Detail-oriented

Quick-thinking

Problem solver

Responsibilities

Bengaluru, Karnataka, India Job category: Engineering Job ID: 136468-en_US

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

Job Summary

We are looking for a Senior 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

Extensive experience designing, developing, and operating scalable applications using Go and Python, including REST and/or GraphQL APIs.

Strong expertise in distributed systems, microservices, system design, scalability, reliability, and performance optimization.

Deep knowledge of PostgreSQL, Redis, ClickHouse, or equivalent OLTP, caching, and analytics technologies.

Experience with data modeling, query optimization, indexing, caching strategies, and analytics architectures.

Hands-on experience with Data Lakehouse platforms, including ingestion, transformation, orchestration, governance, warehousing, and analytics.

Strong background in data engineering and large-scale data processing systems.

Experience with observability and monitoring tools such as ELK Stack and Grafana, including logging, metrics, tracing, dashboards, and alerting.

Proven ability to build highly observable systems and perform root-cause analysis.

Experience implementing CI/CD pipelines, automated testing, release automation, and deployment best practices.

Strong understanding of software quality practices, including unit testing, integration testing, code reviews, static analysis, and technical debt management.

Experience integrating security throughout the SDLC and driving secure development practices.

Strong operational excellence mindset with production support, incident management, reliability engineering, capacity planning, and service health monitoring.

Experience defining and managing SLOs, SLAs, operational runbooks, troubleshooting guides, and disaster recovery processes.

Proven ability to lead architecture reviews, technical decision-making, and engineering best practices across platforms and services.

Strong understanding of cloud-native development, containerization, orchestration, infrastructure automation, and Infrastructure as Code (IaC).

Experience designing highly available, fault-tolerant, and cost-efficient systems.Strong collaboration skills, partnering with Product, Design, Program Management, and cross-functional teams to deliver business solutions.

Demonstrated engineering leadership through mentoring, hiring, coaching, and fostering technical excellence.

Experience adopting AI-first engineering practices to improve development, testing, code reviews, documentation, productivity, and operational efficiency.

Knowledge of responsible AI adoption, governance, security, compliance, and quality controls.

Experience leveraging AI for observability, incident triage, automation, root-cause analysis, and developer productivity.

Exposure to Agentic AI, LLM orchestration, prompt engineering, tool-calling workflows, and AI-assisted automation preferred.

Experience with RAG architectures, vector search, knowledge retrieval, and AI-powered applications is desirable.

Background in streaming platforms, event-driven architectures, and large-scale analytics systems is a plus.

Familiarity with enterprise security, compliance, auditability, and data governance in regulated environments.

Education

IC - Typically requires a minimum of 8 years of related experience

Bachelor’s degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline.

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.

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