Staff/Sr. Software Engineer, Search Data Infrastructure - Slack

Job Overview Slack is seeking experienced engineers to join its Core Infrastructure organization responsible for designing, developing, and maintaining the information retrieval systems that power Slack Search and a broad range of product experiences. Responsibilities 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—and rapidly growing—user base. Ensure high availability and reliability across our distributed search systems through collaboration and rigorous engineering. Drive significant business impact by contributing heavily to high‑priority team projects. Take long‑term ownership of team features and systems, proactively improving their health and that of surrounding services. Deploy, configure, test, troubleshoot, maintain, and upgrade Solr clusters and environments. Continuously optimize Solr cluster infrastructure and configuration to sustain cluster health and search performance. Support our operations and customer‑facing teams in triaging and resolving production issues efficiently. Conduct thorough, collaborative code reviews that raise the quality bar across the team. Champion improvements to engineering standards, tooling, and development processes. Build and ship production‑grade software using modern engineering practices, with AI as a core pillar of your development workflow. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows. Contribute to building and maintaining a shared system context—a 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. Qualifications 10+ years of hands‑on experience with distributed data and search technologies. Extensive experience with distributed data processing frameworks such as Spark, Hadoop, MapReduce, or EMR. Experience with Solr, Elasticsearch, Lucene, or comparable search technologies. Familiarity with infrastructure and ops tooling such as Terraform, Chef, and Kubernetes. Proficiency in functional or imperative programming languages—e.g., PHP, Python, Ruby, Go, C, or Java. Track record of building high‑availability, performant, and scalable systems handling large volumes of data across multiple clusters in geographically distributed environments. Experience planning, implementing, and executing software migrations and upgrades in production environments. Confidence in contributing to technical architecture discussions and influencing technical decisions within your team. Genuine, demonstrated AI‑first approach to engineering, integrating AI development tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) into workflow. Advanced prompt engineering skills—writing precise, structured prompts and cultivating system context. Bonus: Built large‑scale data pipelines and wrote clean code in Java, Scala, and/or SQL, with exposure to Hadoop/Spark. Bonus: Experience in text mining, parsing, NLP techniques applied to search relevance or data enrichment. Bonus: Contributions to or leadership of search relevance tuning, ranking models, or query understanding. Benefits Time off programs. Medical, dental, vision, mental health support. Paid parental leave. Life and disability insurance. 401(k) and employee stock purchasing program. Equitable compensation practices and base salary range of $172,500 – $313,700 annually (base salary only). Equal Employment Opportunity Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. It means that at Salesforce, we believe in equality for all. We lead the path to equality by creating a workplace that’s inclusive and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence, and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions are fair and based on merit. Compensation and benefits are based on diagnosis from location, job level, job‑related knowledge, skills, and experience. This is reinforced by a diverse employee resource group strategy. Salesforce offers a range of benefits to help you live well, including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. The typical base salary range for this position is $172,500 - $313,700 annually. #J-18808-Ljbffr 100 Salesforce, Inc.