Salesforce

Staff Software Engineer, Data Infrastructure

$197K–$345K

California - San Francisco +3 · Office Tech-Flexible · Staff · Full-time · Posted Oct 12, 2026

Location: California - San Francisco
Georgia - Atlanta
Washington - Seattle
Washington - Bellevue
Experience: 10+ years; no stated alternative.
Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

About the job

Leads the design, operation, and evolution of Slack’s large-scale data infrastructure for analytics, machine learning, and data-driven workflows.

Own multiple core analytics and orchestration services, ensuring reliability, uptime, and performance.
Build scalable data platforms, automation, and self-service tools; improve security, cost efficiency, and observability.
Set technical practices and mentor engineers in collaboration with data, platform, and security teams.

10+ years of software, platform, or infrastructure engineering experience, including support for data-intensive systems or platforms.
Experience building, deploying, and operating distributed infrastructure at scale; strong background in big data and infrastructure technologies or equivalent systems.
Proficiency in Python, Golang, Bash, SQL, CI/CD (GitHub Actions), Vault, Terraform, Chef, and Grafana.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Hands-on experience supporting data pipelines or data engineering workflows.
Hands-on experience building, managing, and integrating agentic workflows, custom AI skills, automated software factory pipelines, or MCP.

USD $197,300 - $313,700 annually (base salary); USD $237,700 - $344,700 annually (base salary)

Pinot, Trino, Airflow, Spark on Kubernetes, EMR, Hive Metastore, Python, Golang

Develops AI-forward data infrastructure and builds agentic workflows, AI skills, and automation for engineering and data workflows.

Model-written summary · the original posting is authoritative