Staff Software Engineer, Data Infrastructure - Slack jobs in United States
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griddable.io · 13 hours ago

Staff Software Engineer, Data Infrastructure - Slack

Griddable.io is looking for a Staff Software Engineer to join the Data Infrastructure team within Slack. The role focuses on building secure and reliable data infrastructure that supports analytics and machine learning, ensuring performance and uptime for core data services.

AnalyticsBig DataCloud Data ServicesData IntegrationInformation TechnologySaaSSoftware

Responsibilities

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, StarRocks, 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

Qualification

Data infrastructure designDistributed systemsBig data technologiesPythonGolangBashSQLCI/CDInfrastructure reliabilityBachelor’s degreeCommunicationCollaborationOwnershipMentoring

Required

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, StarRocks, Hive Metastore, Kubernetes, or equivalent systems
Proficiency in Python, Golang, Bash, and SQL
Familiarity 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
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

Company

griddable.io

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Griddable.io is a San Jose, CA based SaaS startup that closed Series A funding in 2017 from August Capital, Artiman Ventures, and Carsten Thoma, founding CEO of Hybris (acquired by SAP).

Funding

Current Stage
Early Stage
Total Funding
$8M
2019-01-28Acquired
2018-02-28Series A· $8M

Leadership Team

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Burton Hipp
VP of Engineering/Founder
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Company data provided by crunchbase