Назад
Company hidden
23 часа назад

Staff Engineer in Test (Hadoop)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Staff Engineer in Test (Hadoop): Designing system-level quality engineering strategies and scalable automated test infrastructure for DDN’s Hadoop ecosystem with an accent on networking, security, distributed systems, storage performance, and resilience. Focus on building performance and reliability validation, diagnosing complex issues across logs and traces, and using AI to accelerate test generation and quality engineering.

Location: On-site at the Pune office, India

Company

hirify.global develops enterprise data infrastructure and an ecosystem primarily focused on the Hadoop ecosystem.

What you will do

  • Design system-level test strategies and validation plans for networking, security, and enterprise readiness features.
  • Create scalable automated test suites for Hadoop components, covering multi-tenant behavior, concurrency, data consistency, and system performance.
  • Build and maintain test automation, reusable harnesses, templates, and utilities using Docker, Jenkins, Kubernetes, and Hadoop benchmarks.
  • Construct performance, stress, and reliability tests for I/O throughput, latency, NVMe access patterns, concurrency limits, and long-running workloads.
  • Use profilers, fuzzers, failure-injection frameworks, and trace analyzers to identify issues and performance bottlenecks across distributed workflows.
  • Collaborate with architects, developers, release engineering, DevOps, and customer engineering on testability, observability, resilience, root cause analysis, and quality standards.

Requirements

  • 10+ years of experience in software quality engineering, with a strong focus on distributed systems, system-level testing, or infrastructure platforms.
  • Hands-on test automation experience with Python, Bash, Git, Jenkins, and modern CI/CD tooling.
  • Strong understanding of distributed concurrency, file systems, I/O behavior, storage performance analysis, NVMe, SPDK, networking, tracing, and system observability.
  • Experience with large-scale performance testing, stress testing, reliability validation, and diagnosing issues through logs, traces, network captures, and profiling tools.
  • Experience validating large-scale data platforms, storage engines, or distributed scheduling systems.
  • Background in security or compliance testing, including access control, backup and restore workflows, Section 508, HIPAA, or PCI.

Nice to have

  • Experience with Hadoop products.
  • Experience applying AI technologies to issue triaging, test generation, and automation.
  • Familiarity with OpenTelemetry, Grafana, and Prometheus.
  • Contributions to open-source test frameworks or distributed systems validation tools.

Culture & Benefits

  • Hands-on, high-impact individual contributor role within Global Engineering.
  • Opportunity to improve quality engineering practices and platform stability across the organization.
  • Cross-functional collaboration with architecture, development, release engineering, DevOps, and customer engineering groups.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →