SMTS/LMTS Full Stack Software Engineer, Tableau Next
Role details
Job location
Tech stack
Job description
- Architect and develop core visualization components and frameworks for the next-gen Tableau product, ensuring scalability, performance, and flexibility.
- Optimize large-scale data rendering with Canvas, WebGLwhile enhancing interactivity through filtering, animations, and real-time updates for a smooth user experience.
- Collaborate with UX designers to implement elegant and intuitive visual representations of complex data.
- Work collaboratively to design efficient APIs and data-fetching strategies that optimize visualization performance and responsiveness.
- Drive innovation by exploring and integrating emerging visualization technologies, frameworks, and methodologies.
- Improve code quality and maintainability through best practices, including modularization, automated testing, and continuous integration.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Identify and address performance bottlenecks, ensuring smooth rendering and interactions across different platforms and devices.
Requirements
- 6+ years of industry experience building enterprise-grade distributed systems at scale
- Strong computer science foundation including data structures, algorithms, and design patterns, with a 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, and 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 (Shadow DOM, Custom Elements, etc.)
- 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
Bonus Qualifications:
- Familiarity with data visualization tools like Tableau or similar BI platforms, and a basic understanding of VizQL concepts.
- Strong understanding and hands-on experience with modern Data Lakes and Data Warehousing providers, such as Snowflake, Databricks, and Salesforce Data Cloud, among others.
- 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
Benefits & conditions
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety 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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is, $148,500 -