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2 дня назад

Staff Software Engineer, Data Infrastructure

197 300 - 313 700$
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

Текст:
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TL;DR
Staff Software Engineer, Data Infrastructure (AI/Data Infrastructure): Building and operating secure, reliable, scalable infrastructure for Slack’s data ecosystem with an accent on data ingestion, real-time analytics, compute, orchestration, and AI-forward automation. Focus on owning core services such as Pinot, Trino, Airflow, Spark on Kubernetes, and Hive Metastore, while improving observability, cost efficiency, security, and developer experience.

Location: San Francisco, California, United States; other locations include Atlanta, Seattle, and Bellevue. Office tech-flexible workplace.

Base salary: $197,300–$313,700 annually; in select San Francisco and New York City metropolitan areas, $237,700–$344,700 annually. Base salary excludes bonuses, equity, incentives, and benefits.

Company

hirify.global is a workplace platform within Salesforce, building AI-forward products and data infrastructure that support customer and employee workflows.

What you will do

  • Design, build, and operate reliable, scalable data infrastructure for analytics, machine learning, and data-driven decision-making.
  • Own uptime, reliability, and performance for core analytics and compute services, including Pinot, Trino, Airflow, Spark on Kubernetes, EMR, and Hive Metastore.
  • Scale batch and streaming ingestion, real-time analytics, transformation, storage, compute, and orchestration systems.
  • Build automation and self-service tools that help data teams adopt and manage workflows.
  • Improve security, cost efficiency, developer experience, observability, monitoring, and alerting using Grafana and related tooling.
  • Define technical standards, collaborate with data engineering, platform, and security teams, and mentor engineers.

Requirements

  • 10+ years of software, platform, or infrastructure engineering experience, including work with data-intensive systems or data platforms.
  • Experience building, deploying, and operating distributed infrastructure at scale.
  • Strong background with EMR, Airflow, Pinot, Trino, Hive Metastore, Kubernetes, or equivalent technologies.
  • Proficiency in Python, Golang, Bash, SQL, CI/CD with GitHub Actions, Vault, Terraform, Chef, and Grafana.
  • Deep understanding of infrastructure reliability, observability, cost efficiency, and data engineering workflows.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

  • Experience building, managing, and integrating agentic workflows, custom AI skills, automated software factory pipelines, or MCP.

Culture & Benefits

  • Positive, diverse, supportive, curious, inventive, and collaborative environment.
  • Focus on craftsmanship, reliability, ownership, and empowering others.
  • Medical, dental, vision, mental health support, paid parental leave, life and disability insurance, and paid time off.
  • 401(k) and employee stock purchasing program.
  • Reasonable accommodations are available during the application and recruiting process.

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