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Nasuni

Senior Performance Engineer

Hyderabad, Telangana, India; HyderabadIndia
Senior · QA & DevOps
POSTED 29 APR
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Pay · market
$87k
p25–p75 · n=22
Open for
191d
since 29 Apr
H-1B · FY26
1
certified LCAs
Hiring · 30d
33
−3 net · open roles
Node.jsPythonTerraformDistributed systems

Senior Performance Engineer

Hyderabad, India (Hybrid — 3 days office / 2 days remote)

About Nasuni

Nasuni is the unstructured data foundation for enterprise teams—and the AI that supports them. We manage, protect, and activate the world’s unstructured data so organizations can work smarter, spend wisely, and create safely without limits. As a Vista-backed SaaS data infrastructure company, Nasuni is transforming how enterprises manage file data with a next-generation, AI-ready platform—turning massive file stores into secure, actionable, and AI-ready data for intelligent automation, analytics, and global collaboration.

Why Work at Nasuni (Hyderabad / India)

With Vista Equity Partners’ backing, our Hyderabad team benefits from access to a global ecosystem of software leaders—cross-portfolio learning, leadership programs, and AI innovation communities—combining the pace of a fast-growing company with the scale and resources of a global technology investor. You’ll innovate at the intersection of cloud, AI, and enterprise data infrastructure, collaborate with talented teams, and build modern platforms trusted by enterprises worldwide. Join us in Hyderabad and help shape the future of intelligent, AI-ready data management.

Role Overview

As a Senior Performance Engineer, you will ensure Nasuni’s Cloud File Data Services platform meets rigorous performance, scalability, and reliability standards at enterprise scale.

This role is ideal for engineers who:

  • Thrive in distributed systems environments
  • Enjoy diagnosing complex bottlenecks
  • Prefer deep technical ownership over people management

This role is not intended for entry-level QA engineers or purely manual testers.

Level & Scope Definition

You will:

  • Own performance validation strategy for a defined product domain
  • Design and maintain automated performance test frameworks
  • Define performance benchmarks and release criteria in partnership with engineering
  • Lead root cause investigations for performance-related defects
  • Mentor junior engineers in debugging and test design
  • Influence architectural decisions through performance insights

You will not:

  • Directly manage people
  • Own company-wide performance strategy
  • Operate solely as a test executor

This role requires high autonomy within your domain and strong cross-functional collaboration.

Responsibilities

  • Architect and extend Python-based performance automation frameworks
  • Design and execute load, stress, endurance, and scalability tests
  • Build and scale performance testbeds across hypervisors and cloud environments
  • Analyze system logs, telemetry, and metrics to identify bottlenecks
  • Partner with development teams to define performance SLAs and testability requirements
  • Integrate performance testing into CI/CD pipelines
  • Conduct root cause analysis for performance regressions
  • Mentor engineers on distributed systems validation practices

Qualifications

Must-Have Qualifications

  • 5–8 years of experience in performance testing or test automation
  • Strong Python programming skills
  • Hands-on experience validating distributed systems
  • Advanced Linux systems knowledge
  • Experience designing and executing load/stress testing
  • Experience working with CI/CD tools such as Jenkins or GitLab
  • Experience using Git workflows

Preferred Qualifications

  • Knowledge of NFS, CIFS, or file system protocols
  • Experience with benchmarking tools such as SPEC SFS, VDBench, or FIO
  • Experience configuring performance environments across hypervisors or cloud platforms
  • Networking fundamentals (VLANs, routing, protocol tuning)
  • Experience with Terraform or infrastructure-as-code tools

Ideal Qualifications

  • Experience validating storage or file infrastructure products
  • Experience debugging performance issues across multi-node distributed architectures
  • Experience scaling performance environments to simulate enterprise workloads

Experience Guidelines

  • 5–8 years total experience in software engineering, performance testing, or infrastructure validation
  • 3+ years hands-on experience in distributed systems performance testing
  • Demonstrated experience owning end-to-end performance initiatives within a product domain
Source · NasuniFirst seen 2 NovOriginal ↗