Software Engineer, Data Infrastructure - Slack

Position: Staff Software Engineer, Data Infrastructure - Slack
* 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
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Slack is looking for a Staff / Senior Software Engineer to join the
** Data Infrastructure
** team within the broader Data Engineering organization. The mission of our team is to build
** secure, reliable, and cost-efficient infrastructure
** 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**, helping to scale and evolve the backbone of Slack’s data infrastructure as we grow.
You’ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, and orchestration at massive scale. As a Staff / Senior Engineer, you’ll be a
** Directly Responsible Individual (DRI)
** for one or more core data services, accountable for uptime, reliability, and performance, and a
** subject matter expert (SME)
** across multiple systems over time.  Here are a few examples of what we work on:
* Enabling more realtime OLAP capabilities for internal and external customers
* Scaling our compute and orchestration layer.
* Creating and scaling agents 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 1–2 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 easily 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 other 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.###
** What you should have
*** 7+ years of software 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.
* Strong technical background with
** big data and infrastructure technologies** — such as EMR, Airflow, Pinot, Star Rocks, Hive Metastore, Kubernetes, or equivalent systems.
* 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 the ability to collaborate across cross-functional teams.
* A strong sense of
** ownership
* * and a drive to deliver high-impact, autonomous results.
* Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.###
** What we value
** Slack has a…