Software Engineer II, Search & Data Infrastructure -Slack

Software Engineering

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 the place where work happens - and Search is at the heart of it. We’re looking for experienced engineers to join our Core Infrastructure organization, where you’ll help design, develop, and maintain the information retrieval systems that power Slack Search and a wide range of product experiences. Our search stack is central to what makes Slack an indispensable store of organizational knowledge – enabling millions of users to instantly find messages, channels, people, files, and business-critical information across their work spaces.

It’s also foundational to our generative AI efforts, helping build intelligent products that leverage the full breadth of your company’s knowledge graph. If you’re excited about pushing the boundaries of information retrieval, building systems that scale to meet the demands of the world’s most collaborative teams, and doing it all in an environment where your work directly shapes the product – this is the role for you.

We build our infrastructure on reliable, battle-tested tools our team knows and trusts:
Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Expertise in these is a strong plus – but solid experience building and operating robust distributed search systems using other languages and cloud technologies is a great substitute.

We’re a tight-knit, collaborative team who genuinely enjoy working together. You’ll partner closely with infrastructure and machine learning engineers to evolve our systems, and collaborate with product engineers and managers to ensure our infrastructure meets the needs of our users. Slack has a positive, diverse, and supportive culture. We look for people who are curious, inventive, and committed to being a little better every single day.

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

• Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack’s search infrastructure.
• Partner with product engineering to conceptualize and ship new features for our large (and growing!) user base.
• Collaborate with team members to ensure high availability and reliability of a distributed search system at massive scale.
• Own team features and systems end-to-end, defining their long-term health while proactively improving the health of surrounding systems.
• Deploy, configure, test, troubleshoot, maintain, and upgrade Solr clusters and environments.
• Continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and peak search performance.
• Support our skilled operations team in triaging and resolving production issues quickly and effectively.
• Raise the bar on engineering standards, tooling, and processes across the team.
• Build and ship high-quality, production-grade software using modern engineering practices – with AI as a core part of your development workflow.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining shared system context: an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (human- or AI-generated) for correctness, quality, security, and performance.

• Have 4+ years of applicable software engineering experience.
• Have worked extensively with distributed data processing…