Software Engineer II, Search & Data Infrastructure -Slack

Salesforce is seeking experienced software engineers to join its Core Infrastructure team and help build the systems that power Slack Search.

• Design and develop scalable, resilient offline indexing pipelines for Slack's search infrastructure.
• Partner with product engineering to conceptualize and ship new features for our large user base.
• Collaborate with teammates to ensure high availability and reliability of a distributed search system at massive scale.
• Own team features and systems end‑to‑end, defining long‑term health while improving surrounding systems.
• Deploy, configure, test, troubleshoot, maintain, and upgrade Solr clusters and environments.
• Continuously optimize the infrastructure and configuration of Solr clusters to maintain cluster health and peak search performance.
• Support the 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, incorporating AI as a core part of the 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.

• 4+ years of software engineering experience.
• Extensive experience with distributed data processing frameworks such as Spark, Hadoop, Map Reduce, or EMR.
• Hands‑on experience with Solr, Elasticsearch, Lucene, or other search technologies.
• Familiarity with infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes.
• Proficiency in functional or imperative programming languages (PHP, Python, Ruby, Go, C, Java, etc.).
• Track record of building high‑availability, performant, and scalable systems that handle large data volumes across multiple clusters and geographic regions.
• Experience planning, implementing, and deploying software migrations and upgrades in production environments.
• Ability to contribute meaningfully to technical architecture discussions and drive sound technical decisions.
• Strong communication skills, able to explain complex technical concepts clearly to designers, support staff, and fellow engineers.
• Solid computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
• Demonstrated AI‑first approach to engineering, using AI tools to accelerate development and build fluency across the stack.
• Experience integrating AI tools (e.g., Claude Code, Git Hub Copilot, Codex, Cursor) into the development workflow.
• Advanced prompt engineering skills that produce reliable, production‑ready AI outputs.

• Built large‑scale data pipelines professionally and written clean, elegant code in Java, Scala, and/or SQL with Hadoop/Spark.
• Experience with text mining, NLP, or natural language parsing.
• Contributed to relevance tuning, ranking systems, or query understanding.
• Familiarity with vector search, dense retrieval, or embedding‑based approaches to information retrieval.

Typical base salary range for this position is $117,200 – $223,900 annually (base only). Benefits include medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchase program, unlimited time off, and more. See  for details.

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination, ensuring fair hiring, compensation, and promotion decisions regardless of race, religion, gender, sexual orientation, age, disability, veteran status, or any other protected characteristic.