Sr. Software Development Engineer in Test , Performance QE

Netskope; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Netskope is seeking a Performance Test Engineer to uphold the capacity, reliability, and low-latency of our cloud-native security platform. The role requires deep expertise in performance testing, scalability, and multi-tenant architectures across Kubernetes and cloud environments.

You will design test strategies, build reusable scripts, and collaborate with development and operations teams to identify bottlenecks, optimize performance, and ensure high availability at scale.

Qualifications

• BSCS or equivalent required; MSCS or equivalent strongly preferred.

Responsibilities

• Design and implement performance test strategies and plans (load, stress, volume, endurance).
• Develop, maintain reusable test scripts for HTTP, APIs, FTP/SFTP across protocols.
• Collaborate with DevOps to configure performance environments that mirror production.
• Deploy containerized load generators on Kubernetes to simulate massive scale.
• Analyze test results with monitoring tools to identify bottlenecks in code, DB, and infra.
• Document reports and share findings with engineering and product stakeholders.
• Provide recommendations for performance tuning and code optimization.
• Contribute to continuous improvement of the testing framework and processes.

Skills

Performance testing

Java

Python

Golang

JavaScript

Data analysis

AI concepts

Cloud concepts

Education

BSCS or equivalent

Tools

JMeter

Locust

LoadRunner

Gatling

k6

BlazeMeter

Docker

Kubernetes

Dynatrace

New Relic

Prometheus

Grafana

DataDog

Job description

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Performance QE team is responsible for the system level performance of a wide range of Netskope products. Expose performance issues not manifested and/or not existed on component level. We are seeking a highly skilled and motivated Performance Test Engineer to join us. The ideal candidate will have deep expertise in performance testing methodologies, tools, and analysis to identify and resolve critical bottlenecks before they impact our customers.

What's in it for you

Your core mission is to guarantee the capacity, reliability, and low latency of our applications, maintaining high availability at massive scale. You will thrive here if you are dedicated to partnering with teams to ship high-quality software that is fast and scalable. You will approach QE by consistently balancing customer needs with a holistic view of the entire system architecture.

What you will be doing

• Design and Strategy: Develop comprehensive performance test strategies and plans (including load, stress, volume, and endurance tests)
• Scripting and Execution: Design, develop, and maintain robust, reusable test scripts using industry-standard tools for various protocols (e.g., HTTP, Web Services, APIs, FTP/SFTP).
• Environment Management: Collaborate with DevOps and infrastructure teams to configure and maintain performance test environments that accurately replicate production conditions.
• Load Generation: Design and deploy containerized load generators (JMeter, k6, Locust containers) directly onto the Kubernetes cluster to simulate massive scale with minimal overhead.
• Monitoring and Analysis: Execute performance tests and conduct deep-dive analysis of results, leveraging monitoring tools to identify system bottlenecks in application code, database performance, network latency, and infrastructure (CPU, memory, I/O).
• Reporting and Collaboration: Document clear, concise reports summarizing test results, metrics, and actionable recommendations. Communicate findings to engineering and product stakeholders.
• Optimization: Work closely with software developers and architects to provide recommendations for performance tuning and code optimization.
• Process Improvement: Stay current with industry trends, tools, and best practices in performance engineering and contribute to the continuous improvement of the testing framework and processes.

Required skills and experience

• Experience: Minimum 8 years of experience in Performance Testing/Engineering roles with scalable cloud native multi-tenant architectures
• Tool Proficiency: Proven expertise with at least one major performance testing tool (e.g., JMeter, Locust, LoadRunner, Gatling, k6, BlazeMeter).
• Scripting/Coding: Strong proficiency in at least one scripting or programming language (e.g., Java, Python, Golang, JavaScript) for test script development and customization.
• Containerization & Orchestration: Hands-on experience with Docker and Kubernetes (K8s) for containerizing applications and understanding how container resource limits affect application performance.
• System Knowledge: Solid understanding of system architecture components, including web servers, application servers, databases, and load balancers.
• Monitoring/AI Tools: Experience with modern APM/Monitoring tools that incorporate AI/ML capabilities (e.g., Dynatrace, New Relic, Prometheus, Grafana, DataDog, or custom AI solutions) for in-depth analysis.
• Database: Working knowledge of SQL/NoSQL databases and the ability to analyze and optimize database query performance.
• Data Analysis: Strong analytical skills with the ability to interpret large datasets and AI-generated outputs (e.g., log traces, metrics) to pinpoint root causes.
• ML & AI Application: Proficient in Machine Learning and AI concepts (e.g., supervised learning, predictive modeling) and their application in the entire performance test cycle.

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and testing applications deployed in a cloud-native environment.
• Familiarity with Continuous Integration/Continuous Delivery (CI/CD) pipelines and integrating performance tests into the release process.
• Experience with service virtualization or mocking tools.
• Knowledge of network protocols L2/L3 networking concepts, routing protocols, VPN, IPSec and WAN architecture and troubleshooting
• Translate machine-generated data and patterns (from AI/ML models) into clear, actionable performance tuning recommendations for the development and architecture teams.
• Explore and integrate AI tools for automating repetitive tasks, such as test script maintenance (self-healing), realistic test data generation, and intelligent workload pattern creation.
• Stay current with emerging AI/ML applications in performance testing, and champion the adoption of new tools and methodologies to drive efficiency and accuracy.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

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The application window for this position is expected to close within 50 days.