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Staff Software Engineer (Data Infrastructure)

200 000 - 275 000$
Формат работы
onsite
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
Staff Software Engineer (Data Infrastructure) (Apache Iceberg/Spark/Kafka): Architecting and operating real-time data infrastructure that ingests, stores, and serves massive volumes of operational data with an accent on petabyte-scale storage, distributed processing, and high-throughput integrations. Focus on designing resilient data platforms, optimizing performance and cost, and establishing data contracts and infrastructure patterns across the organization.

Location: San Francisco, CA; applicants must be located in San Francisco and open to working in office

Salary: $200,000–$275,000 USD annually, plus benefits, equity if applicable, and bonus if applicable

Company

hirify.global builds an AI-enabled platform that turns siloed data into operational intelligence for public safety organizations, government agencies, and private-sector institutions.

What you will do

  • Design and operate a high-throughput, real-time data integration platform across diverse customer environments.
  • Architect scalable open table format infrastructure for reliable petabyte-scale data storage.
  • Build and optimize distributed batch and streaming data processing pipelines.
  • Improve performance, reliability, and cost efficiency across the data infrastructure stack.
  • Define data contracts, schemas, and integration patterns with platform and product engineering teams.
  • Establish best practices, tooling, and reusable patterns for data infrastructure.

Requirements

  • 8+ years of experience architecting and operating large-scale data infrastructure systems in production.
  • Deep expertise in Apache Iceberg, including schema evolution, partitioning, compaction, and time travel.
  • Extensive hands-on experience with Apache Spark for batch and streaming processing at scale.
  • Strong experience with Apache Kafka, Apache Flink, or equivalent stream-processing technologies, plus Airflow or similar orchestration tools.
  • Production software engineering experience with Python and/or Scala, AWS or comparable cloud platforms, S3-based data lakes, and Kubernetes.
  • Located in San Francisco and open to working in office. A degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is required.

Nice to have

  • Experience working across the full data stack, from ingestion through serving.
  • Experience defining durable infrastructure solutions for ambiguous, open-ended technical problems.

Culture & Benefits

  • Annual salary plus benefits, equity if applicable, and bonus if applicable.
  • Ownership of major features and foundational infrastructure decisions.
  • Close collaboration with deployment teams, users, platform engineers, and product engineers.
  • Emphasis on empathy, humility, perseverance, creativity, and operational excellence.
  • Inclusive workplace and equal employment opportunity.

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