Software Development Engineer in Test (API, UI & Agentic Systems)

NetApp; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

NetApp in Bengaluru seeks a Software Engineer 3 to build scalable automation frameworks validating distributed apps, APIs, web UI, and AI-powered workflows. You will collaborate with engineering, product management, and quality teams to define automation strategies and accelerate delivery.

This role blends traditional automation with AI-enabled testing, requires 4+ years of experience, strong Python or JavaScript skills, and hands-on experience with Playwright, Pytest, Cypress, Docker, and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline.
• 4+ years of software development or test automation experience.
• Strong programming skills in Python or JavaScript/TypeScript.
• Experience testing REST APIs using Pytest and Playwright/Cypress frameworks.

Responsibilities

• Design and develop reusable automation frameworks for REST/GraphQL APIs and modern web applications.
• Build scalable test infrastructure for functional, integration, regression, performance and end-to-end testing.
• Create automated validation mechanisms for AI-powered systems and multi-agent workflows (RAG).
• Integrate automation into CI/CD pipelines for continuous quality validation.
• Partner with developers and architects to shift-left testing and improve testability.
• Define quality metrics, coverage goals, and automation standards across teams.
• Investigate production issues to close automation gaps and improve test effectiveness.
• Contribute to AI-assisted testing techniques and intelligent test generation.

Skills

Python

JavaScript/TypeScript

Automation

REST API testing

CI/CD

Git

Distributed systems

Cloud-native testing

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related discipline

Tools

Pytest

Playwright

Cypress

Git

CI/CD

Docker

Kubernetes

Job description

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 highly motivated Software Engineer 3 to help build the next generation of intelligent quality engineering platforms. In this role, you will design and develop scalable automation frameworks that validate modern distributed applications, APIs, web experiences, and AI-powered agentic workflows.

You will work closely with engineering, product management, and quality teams to define automation strategies, improve release confidence, and accelerate product delivery through innovative testing solutions. This position provides an exciting opportunity to work at the intersection of traditional automation engineering and emerging AI technologies.

Job Requirements

• 4+ years of software development or test automation experience.
• Strong programming skills in one or more languages: Python, JavaScript/TypeScript
• Hands‑on experience building automation frameworks from the ground up.
• Experience testing REST APIs using tools and frameworks such as Pytest, Playwright API Testing
• Experience automating web applications using: Playwright, Cypress
• Strong understanding of software development lifecycle and testing methodologies.
• Experience with Git, CI/CD pipelines, and cloud-native application testing.
• Familiarity with microservices architectures and distributed systems.

Preferred Qualifications

• Experience testing AI/GenAI applications and agentic systems.
• Familiarity with:
  • OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms
  • LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel
  • MCP-based integrations
  • Vector databases and RAG architectures
• Experience building evaluation frameworks for:
  • Agent correctness
  • Hallucination detection
  • Workflow reliability
  • Prompt and model regression testing
• Experience with Kubernetes, Docker, and cloud platforms (AWS, Azure, or GCP).
• Knowledge of performance, security, and resilience testing.
• Exposure to observability tools and telemetry-driven quality engineering.

What Makes You Successful

• Passion for engineering quality rather than simply executing test cases.
• Strong analytical and debugging skills.
• Ability to drive automation strategy and influence engineering practices.
• Growth mindset with curiosity to explore emerging AI technologies.
• Excellent collaboration and communication skills.
• Ability to thrive in a fast-paced, innovation-driven environment.

What You'll Do

• Design and develop reusable automation frameworks for:
  • REST and GraphQL APIs
  • Modern web applications and user interfaces
  • AI-powered applications and agentic workflows
• Build scalable test infrastructure that supports functional, integration, regression, performance, and end-to-end testing.
• Create automated validation mechanisms for LLM-based systems, AI agents, multi-agent workflows, and Retrieval-Augmented Generation (RAG) applications.
• Integrate automation into CI/CD pipelines to enable continuous quality validation.
• Partner with developers and architects to establish shift‑left testing practices and improve testability.
• Define quality metrics, coverage goals, and automation standards across teams.
• Investigate production issues, identify automation gaps, and improve test effectiveness.
• Contribute to the adoption of AI‑assisted testing techniques and intelligent test generation.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
• IC - Typically requires a minimum of 4+ years of related experience.

Nice to Have

• Experience in storage, cloud infrastructure, data management, or enterprise platforms.
• Exposure to AI-driven test generation and autonomous testing solutions.
• Contributions to open-source testing frameworks or developer tooling.

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.

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.