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Staff Software Engineer, Search Data Infrastructure - Slack100 Salesforce, Inc. • Seattle, Washington, United States
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Staff Software Engineer, Search Data Infrastructure - Slack

100 Salesforce, Inc.
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

About the Role
Slack is seeking experienced engineers to join its Core Infrastructure organization – the team responsible for designing, developing, and maintaining the information retrieval systems that power Slack Search and a broad range of product experiences. This infrastructure sits at the heart of what makes Slack an indispensable repository of company knowledge, enabling millions of users to instantly surface messages, channels, people, files, and business‑critical information across their workspaces. Responsibilities
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 rapidly growing – user base. Ensure high availability and reliability across our distributed search systems through thoughtful 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 the health 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 – leveraging AI tools to deliver secure, optimized, and high‑quality code at speed. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining a 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. Qualifications
10+ years of hands‑on experience with distributed data and search technologies. 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 that handle 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. Demonstrated AI‑first approach to engineering – using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience integrating AI development tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) into day‑to‑day engineering workflows. Advanced prompt engineering skills – writing precise, structured prompts and cultivating system context that makes AI outputs reliable, secure, and production‑ready. Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. EEO Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all, 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. Hiring decisions are fair and based on merit. We are an equal opportunity employer and a pleasant and supportive place to work.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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