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6 дней назад

Senior Staff Software Engineer (Java)

232 338 - 290 422$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Staff Software Engineer (Java): Building and optimizing performance platforms and backend data systems for Fivetran’s high-volume data pipelines with an accent on distributed systems, databases, and production observability. Focus on analyzing workloads, resolving bottlenecks, designing performance tests, and developing resilient solutions across cloud and containerized infrastructure.

Location: Hybrid, based out of the Oakland office, California, United States

Salary: $232,338–$290,422 USD annually

Company

hirify.global builds reliable data pipelines that deliver canonical, query-ready customer data to modern data warehouses.

What you will do

  • Develop and debug backend code to identify and resolve product performance issues.
  • Analyze production workloads, system metrics, and performance data to identify bottlenecks.
  • Build proof of concepts and turn successful approaches into performance and efficiency improvements.
  • Build and maintain a platform focused on product performance, resilience, and quality.
  • Partner with developers, Product, SRE, and other cross-functional teams on strategy, reliability, and best practices.
  • Participate in architecture discussions, design reviews, and code reviews.

Requirements

  • 10+ years of hands-on software industry experience solving complex engineering problems.
  • Experience architecting reliable distributed systems, especially high-volume data management systems.
  • Experience building backend services and data systems.
  • Strong knowledge of Java and databases, algorithms, and data structures.
  • Experience with the listed technology stack, including JUnit, Docker, Kubernetes, AWS, GCP, Terraform, WireMock, RestAssured, Bazel, and Buildkite.

Nice to have

  • Performance engineering experience, including analyzing, troubleshooting, and automating workloads on large-scale systems.
  • Experience with cloud warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
  • Familiarity with system-level programming, process and memory management, and inter-process communication.
  • Knowledge of observability tools such as New Relic, Splunk, or Datadog.

Culture & Benefits

  • Employer-paid medical insurance.
  • Paid time off, paid sick time, parental leave, holidays, volunteer days, and a year-end Global Week of Rest.
  • RSU stock grants.
  • Professional development and training opportunities.
  • Monthly cell phone stipend and mental health support resources.

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