Staff Software Engineer, Salesforce

• You’ve been building web applications and operated large scale distributed systems professionally for 7+ years
• Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
• Have deep experience with workflow orchestration tools like Airflow for managing complex data pipelines
• You are proficient in languages commonly used for data engineering—e.g., Python, Java, Scala
• Track record of developing high-availability, performant data pipelines that process large volumes of data across multiple clusters and regions
• You can contribute to technical architecture discussions and help drive technical decisions within your team
• You write understandable, testable code with an eye towards maintainability
• You are a strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you
• You possess computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval
• Bachelor's degree in Computer Science, Engineering or related field, or equivalent

Desirable

• Slack is looking for experienced engineers to join its Core Infrastructure organization to help design, develop, and maintain the information retrieval infrastructure that supports Slack Search and many other product experiences
• This stack is at the heart of what makes Slack such a compelling store of company knowledge, allowing our customers to find and discover messages channels, people, files, and other business units within their workspaces
• It is also of central importance to our efforts around generative AI, helping build products that are advised by the full wealth of knowledge in your company
• We are seeking candidates who can continue to evolve our systems to be reliable, performant, scalable, and secure while helping push us to the cutting edge of search technology, incorporating the latest and greatest developments in the realm of information retrieval
• We build our infrastructure using reliable tools that our team knows and trusts, including PHP/Hack, Python, Java, MySQL, Solr, Terraform, AWS, and Linux
• Expertise in these areas is a huge plus, but experience building and maintaining robust distributed systems for search, using other common languages and cloud technologies is a fine substitute
• We’re a collaborative team who genuinely enjoys working together
• You’ll be working closely with other infrastructure engineers and machine learning engineers to develop our infrastructure, and collaborating closely with product engineers and managers to make our infrastructure support the needs of our users
• Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be 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
• Work with product engineering to conceptualize and build new features for our large (and growing!) user base
• Optimize data processing pipelines for performance, cost-efficiency, and reliability at massive scale
• Work with product engineering to support new features and evolving data requirements for search and AI products
• Collaborate with team members to ensure high availability and data freshness across distributed indexing systems
• Actively own indexing pipeline features and define their long-term health, while improving surrounding data infrastructure
• Monitor, troubleshoot, and optimize pipeline performance, addressing data quality issues and processing bottlenecks
• You'll assist our skilled support team and operations team in triaging and resolving production issues in our on-call rotation
• You'll mentor other engineers and deeply review code
• You’ll improve engineering standards, tooling, and processes