Staff Software Engineer, Data Infrastructure

🕒 May 15

🏢🏡 San Francisco – Hybrid

💵 $197.3k - $313.7k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Design, build, and operate reliable and scalable data infrastructure powering Slack’s analytics, ML, and data-driven decision-making. • Serve as DRI for multiple core data services specifically on our analytics infrastructure (e.g., StarRocks, Pinot, and Trino), ensuring uptime, reliability, and our compute and orchestration services (e.g., Airflow, Temporal, EMR, Hive Metastore). • Drive improvements in security, cost efficiency, and developer experience across our data infrastructure. • Build automation and self-service tools that empower our team and other data teams to easily adopt and manage data workflows. • Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions. • Build and enhance our observability, monitoring, and alerting on our services via Grafana and related tooling. • Partner with other staff and senior engineers to define best practices, technical standards, and support models for Slack’s data ecosystem. • Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence.

🎯 Requirements

• U.S. Citizenship or Permanent Residency (Green Card holder) • 10+ years of software, platform, or infrastructure engineering experience • Excellent communication skills • Proven experience in building, deploying, and operating distributed infrastructure at scale • Strong technical background with big data and infrastructure technologies (e.g., Pinot, StarRocks, Trino, EMR, Airflow, Hive Metastore, Kubernetes) • Proficiency in Python, Golang, Bash, and SQL • Proficiency with CI/CD (GitHub Actions), Vault, Terraform, Chef, and Grafana • Deep understanding of infrastructure reliability, observability, and cost efficiency principles • Hands-on experience supporting data pipelines or data engineering workflows is a strong plus • A strong sense of ownership and a drive to deliver high-impact, autonomous results.

🏖️ Benefits

• time off programs • medical • dental • vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program