Salesforce
AI CRM
SMTS/LMTSFullStackSoftwareEngineer,TableauNext
“SMTS/LMTS Full Stack Software Engineer, Tableau Next at Salesforce. Skills: Full Stack Development, Data Visualization, AI Integration, Distributed Systems. Architect visualization components. Develop visualization frameworks”
What You'll Achieve.
Deliver seamless, interactive visualization experiences; Enhance engagement and collaboration; Support effective decision-making; Enable timely actions; Extend the reach of data-driven insights; Make data accessible and actionable
Industry & Context.
Identify and address performance bottlenecks
What They're Looking For.
Must Have
6+ years of industry experience building enterprise-grade distributed systems at scale, computer science foundation including data structures, algorithms, and design patterns, proven track record in software architecture and system design, Experience with object-oriented programming languages such as Java and JavaScript, Experience with database technologies including SQL, PL/SQL, relational schema design, implementing web services and RESTful APIs, Expertise in modern web technologies and frameworks including Node.js, React, HTML5, CSS/SASS, JSON, HTTP, and Web Components standards, Proficiency in web technologies and real-time interaction patterns including streaming APIs, WebSockets, and event-driven architectures, Proficiency in engineering best practices including fault tolerance, concurrency, reusability, extensibility, API design, database modeling, maintainability, security, scalability, testability, and overall software quality, Experience integrating and orchestrating LLMs and AI services using APIs, SDKs, and agent frameworks such as OpenAI APIs, LangChain, MCP, RAG pipelines, tool calling, and vector databases, Familiarity with AI-assisted development workflows including code generation tools, automation agents, and developer productivity tooling, Experience working with structured and unstructured data systems including SQL/NoSQL databases, vector databases, semantic indexing, and knowledge retrieval systems
Nice to Have
Familiarity with data visualization tools like Tableau or similar BI platforms, basic understanding of VizQL concepts, understanding and hands-on experience with modern Data Lakes and Data Warehousing providers, such as Snowflake, Databricks, and Salesforce Data Cloud, Deep experience in JavaScript, especially in rendering frameworks (Canvas, WebGL, SVG), Understanding of AI reliability and quality practices including prompt testing, model evaluation, hallucination mitigation, observability, guardrails, and human-in-the-loop workflows, Good understanding of AI application architecture including prompt engineering, context management, retrieval systems, embeddings, memory, evaluation, and latency optimization
What You'll Do.
Architect visualization components
Develop visualization frameworks
Optimize large-scale data rendering
Enhance interactivity
Implement visual representations
Design efficient APIs
Explore visualization technologies
Mentor junior engineers
Address performance bottlenecks
How You'll Work.
Team & Collaboration
Collaborate with UX designers; Work collaboratively to design APIs; Collaborate with backend engineers; Collaborate with product teams
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