2 дня назад
Staff Software Engineer, Data Infrastructure
197 300 - 313 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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