Software Engineer, Data Infrastructure

Staff Software Engineer, Data Infrastructure - Slack

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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 seeking 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.

• 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.

• 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.

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. In our work together, we strive to be smart, humble, hardworking, and—above all—collaborative.

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal.

Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.