Staff Software Engineer, Data Infrastructure

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 About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 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 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, 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: 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 multiple core data services specifically on our analytics infrastructure (e.g., StarRocks, Pinot, and Trino), ensuring uptime, reliability, and our compute and orchestration services (e.g., Airflow, Temporal, 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. What you should have U.S. Citizenship or Permanent Residency (Green Card holder). We are unable to provide visa sponsorship for this role. 10 years of software, platform, or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms. Excellent communication skills and the ability to collaborate across cross-functional teams. Proven experience in building, deploying, and operating distributed infrastructure at scale. Strong technical background with big data and infrastructure technologies — such as Pinot, StarRocks, Trino, EMR, Airflow, Hive Metastore, Kubernetes, or equiva ... (truncated, view full listing at source)