Staff Software Engineer (Data Infrastructure)

Join Slack as a Staff Software Engineer (Data Infrastructure) and play a key role in scaling our compute and orchestration layer with an AI-forward and data-driven approach. You will design, build, and operate reliable and scalable data infrastructure, drive improvements in security and cost efficiency, and collaborate closely with various teams. Additionally, you will mentor and coach other engineers, modeling ownership and operational excellence.

- 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, ensuring uptime, reliability, and our compute and orchestration services. - Drive improvements in security, cost efficiency, and developer experience across our data infrastructure.

- First-class communication skills and the ability to collaborate across cross-functional teams - Proficiency with CI/CD (GitHub Actions), Vault, Terraform, Chef, and Grafana - 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 - Proficiency in Python, Golang, Bash, and SQL - Strong technical background with big data and infrastructure technologies — such as EMR, Airflow, Pinot, Trino, Hive Metastore, Kubernetes, or equivalent systems - Deep understanding of infrastructure reliability, observability, and cost efficiency principles - 10+ years of software, platform, or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms - Proven experience in building, deploying, and operating distributed infrastructure at scale - Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience - Hands-on experience building, managing, and integrating agentic workflows, custom AI skills, automated software factory pipelines, MCP