Salesforce is seeking experienced engineers to join its Core Infrastructure organization, focusing on designing and maintaining the information retrieval systems that power Slack Search. The team aims to enhance search technology, ensuring reliability, performance, and scalability while integrating AI into workflows. Candidates should be passionate about building robust distributed systems and collaborating with various engineering teams. This role offers the opportunity to significantly impact high-priority projects and contribute to innovative solutions in a supportive and diverse culture.

• 10+ years of hands-on experience with distributed data and search technologies.
• Extensive experience with distributed data processing frameworks such as Spark, Hadoop, or EMR.
• Familiarity with search technologies like Solr, Elasticsearch, or Lucene.
• Proficiency in programming languages such as PHP, Python, Ruby, Go, C, or Java.
• Experience in planning and executing software migrations and upgrades in production environments.

• Design and develop scalable, resilient offline indexing pipelines for Slack's search infrastructure.
• Collaborate with product engineering to conceptualize and ship new features.
• Ensure high availability and reliability across distributed search systems.
• Drive significant business impact by contributing to high-priority team projects.
• Continuously optimize Solr cluster infrastructure and configuration.

• Employees at Slack, as part of Salesforce, are often offered comprehensive benefits focused on wellbeing and inclusion, including competitive health-care coverage, time off to rest, recharge and volunteer, and holistic programs that support mental health, family planning and overall work–life balance.