Staff Engineering In Test

Data Direct Networks; Pune District; On-site; INR 3,000,000 - 4,200,000; Full time

Benefits offered by this job

Highly Competitive Vacation Plans

Paid Holidays

Bonus Programs

Tuition Reimbursement

Employee Referral Program

Excellent Medical, Dental and Vision

Paid Leave Programs

Anniversary and Recognition Awards

Job summary

Data Direct Networks is seeking a highly skilled Staff Engineer in Test to lead system-level quality engineering for Networking and enterprise readiness of the Hadoop ecosystem.

You will shape test strategies, implement scalable automation, and collaborate with architects, developers, and DevOps to ensure correctness, stability, and performance at scale.

Qualifications

• 10+ years of experience in software quality engineering with a focus on distributed systems or infrastructure platforms.
• Hands-on test automation experience using Python, Bash, and CI/CD tooling.
• Strong understanding of concurrency, I/O, storage performance, networking, tracing, and observability in large-scale systems.
• Experience with Hadoop products is preferred.

Responsibilities

• Quality Engineering & System Validation across the stack.
• Design detailed test strategies and validation plans for networking and security features in distributed systems.
• Create scalable, automated test suites validating multi-tenant behavior, concurrency, data consistency, and system performance.

Skills

Python

Bash

CI/CD tooling

Distributed systems testing

System observability

Tools

Hadoop

Docker

Jenkins

Kubernetes

OpenTelemetry

Grafana

Prometheus

Job description

We are on our way to being the first company to power 1 MILLION GPUs and want world‑class talent to join our amazing team!

The world is moving faster than ever, and yet, it will never move this slowly again. We are at the forefront of an incredible technological revolution but, at its core, it is fueled by incredible people. People like you.

1,000 Global Employees

11k Happy Customers

16 International Offices

We’re Looking for the Best and Brightest

We are the world’s leading data intelligence platform that reliably accelerates massive datasets for actionable real‑time insights. Join our team to help the best and brightest minds tackle the world’s biggest challenges in business, science, medicine, academia and government.

Do What Can’t be Done

For the past 20 years, our team has kept us at the forefront of storage technology and has provided the foundation for enabling researchers to push the limits of “what can be done.”
These innovations take research and discovery to the next level, enabling them to discover cures to disease, observe global warming patterns, model innovative automotive and aerospace designs, discover new sources of energy, make communities safer, and accelerate business results across a wide variety of industries.

DDN Helps Build Your Future, Too

At DDN, we understand our customers’ diverse needs. Whether you’re a data scientist, IT professional, executive, or researcher, our solutions empower you with cutting‑edge technology and unparalleled support.

• Highly Competitive Vacation Plans
• Paid Holidays
• Bonus Programs
• Tuition Reimbursement
• Employee Referral Program
• Excellent Medical, Dental and Vision Benefits
• Paid Leave Programs
• Anniversary and Recognition Awards

Employment Type

Full time

Location Type

On‑site

We are seeking a highly skilled and technically strong Staff Engineer in Test to lead system level quality engineering efforts for Networking, security and other enterprise readiness aspects of DDN’s Ecosystem (Primarily for Hadoop Ecosystem).

In this role, you will be a senior technical QE responsible for planning and implementing test strategies and test infrastructures to ensure correctness, stability, performance, and resilience of DDN Ecosystem architecture. You will work across core subsystems—including the I/O path, memory management, networking stack, scheduling layers, multi‑tenant services, and NVMe‑backed storage. patterns to ensure platform quality at scale. This is a hands‑on, high‑impact IC role for someone who can solve hard problems, automate at scale, leverage AI to improve velocity and elevate quality engineering across the organization.

Key Responsibilities:

• Quality Engineering & System Validation
• Design detailed test strategies and validation plans for networking and security features for distributed system
• Create scalable, automated test suites that validate Hadoop components for multi‑tenant behavior, concurrency, data consistency, and system‑level performance.

Automation Frameworks & Tooling

• Build and maintain robust automation using tools such as Hadoop benchmarks and container‑based environments leveraging Docker, Jenkins, Kubernetes.
• Develop reusable automation templates, harnesses, and utilities to accelerate test creation and reduce engineering overhead.

Performance, Reliability & Scale Testing

• Construct and execute performance tests covering I/O throughput, system latency, NVMe access patterns, concurrency limits, and long‑running workload stability.
• Use advanced tools (profilers, fuzzers, failure‑injection frameworks, trace analyzers) to uncover issues in distributed workflows.
• Analyze CPU, memory, disk, and network utilization to diagnose performance bottlenecks and identify regression risks.

Cross‑Functional Quality Leadership

• Work closely with architects, developers, release engineering, DevOps, and customer engineering to drive quality‑first design decisions.
• Participate in feature design reviews, ensuring testability, observability, and resilience are built into system components.
• Lead root cause analysis (RCA) for complex issues and propose long‑term improvements to engineering practices and platform stability.

Documentation & Quality Standards

• Produce clear, detailed test plans, automation guides, design‑review feedback, and quality metrics reports.
• Contribute to the development and maintenance of internal QA standards, best practices, and. onboarding materials.

Required Qualifications

• 10+ years of experience in software quality engineering, with strong focus on distributed systems, system‑level testing, or infrastructure platforms.
• Hands‑on expertise in test automation using Python, Bash, and modern CI/CD tooling (Git, Jenkins, etc.).
• Strong understanding of: Distributed concurrency, File systems and I/O stack behavior, Storage performance analysis (NVMe, SPDK), Networking, tracing, and system observability
• Experience with large‑scale performance testing, stress testing, and reliability validation.
• Demonstrated skill in diagnosing complex system issues across logs, traces, network captures, and profiling tools.
• Experience in Hadoop products preferred.

Preferred Qualifications

• Experience validating large‑scale data platforms, storage engines, or distributed scheduling systems.
• Experience with AI technologies in context of quality engineering, such as issue triaging, test generation, automation.
• Familiarity with observability technologies such as OpenTelemetry, Grafana, Prometheus.
• Background in compliance or security testing (e.g., access control, backup/restore workflows, Section 508/HIPAA/PCI).
• Contributions to open‑source test frameworks or distributed systems validation tools.

We pride ourselves on our commitment to delivering tangible and consistent results.

Regional Director of Sales, Middle East and Africa

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