Software Engineer, Data Infrastructure

Staff Software Engineer, Data Infrastructure – Slack

Slack is looking for a Staff / Senior Software Engineer to join the Data Infrastructure team within the broader Data Engineering organization. The mission is to build secure, reliable, and cost‑efficient infrastructure that powers Slack’s data ecosystem.

We design and operate core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack. Our systems support batch and streaming ingestion, real‑time analytics, and orchestration at massive scale. As a key technical leader, you will combine hands‑on expertise with strategic impact to scale and evolve Slack’s data infrastructure.

• Design, build, and operate reliable and scalable data infrastructure powering Slack’s analytics, ML, and data‑driven decision‑making.
• Serve as DRI for one or two core data services (e.g., EMR, Star Rocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance.
• Drive improvements in security, cost efficiency, and developer experience across our data infrastructure.
• Build automation and self‑service tools that empower data teams to adopt and manage data workflows.
• Collaborate closely with data engineering, platform, and security teams to design scalable, well‑governed solutions.
• Contribute to observability, monitoring, and alerting via Grafana and related tooling.
• Partner with 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.

• 7+ years of software or infrastructure engineering experience, including time supporting data‑intensive systems or data platforms.
• Proven experience building, deploying, and operating distributed infrastructure at scale.
• Strong technical background with big data and infrastructure technologies such as EMR, Airflow, Pinot, Star Rocks, Hive Metastore, Kubernetes, or equivalent.
• Proficiency in Python, Golang, Bash, and SQL.
• Familiarity with CI/CD (Git Hub 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.
• Excellent communication skills and ability to collaborate across cross‑functional teams.
• A strong sense of ownership and drive to deliver high‑impact, autonomous results.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and collaborative. We seek engineers who care deeply about craftsmanship, reliability, and empowering others. We strive to be smart, humble, hardworking, and above all, collaborative.

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Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and strive to create an inclusive workplace free from discrimination. Recruiting, hiring, and promotion decisions are fair and based on merit. In the United States, compensation offered is determined by factors such as location, job level, and experience.

Salesforce offers benefits including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing program. More details can be found at

Typical base salary for this position is $216,300 – $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range is $237,700 – $344,700 annually. The range represents base salary only and does not include bonus, incentive, equity or benefits.