Staff Software Engineer, Data Infrastructure

Staff Software Engineer, Data Infrastructure

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remote type

Office Tech-Flexible

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

End Date: November 30, 2026 (27 days left to apply)

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Slack is looking for a Staff Software Engineer to join the Data Infrastructure team within the broader Data Engineering organization. The mission of our team is to build secure, reliable, performant, scalable, and cost-efficient infrastructure with an AI-forward approach that powers Slack’s data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack.

Our systems power critical workflows — from batch and streaming ingestion to real-time analytics and orchestration. We’re looking for strong technical leaders who can combine hands-on expertise with strategic impact and mentorship-driven leadership to scale, and evolve the backbone of Slack’s data infrastructure.

What You’ll Actually Be Doing:

You’ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, compute and orchestration at a massive scale. As a Staff Engineer, you’ll be a Directly Responsible Individual (DRI) for multiple core data services, accountable for uptime, reliability, and performance, and a subject matter expert (SME) across multiple systems. Here are a few examples of what we work on:

* Scaling our compute and orchestration layer with an AI-forward and data driven approach. * Enabling more realtime OLAP capabilities for internal and external customers * Creating and scaling agents, AI skills, and automation to enable engineers and users on their workflow and data needs * What you will be doing * 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. Pinot, and Trino), ensuring uptime, reliability, and our compute and orchestration services (e.g., Airflow, Spark on Kubernetes, 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.