> Markdown version of [/jobs/ext/3953274-sr-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3953274-sr-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Full Stack Engineer - **Company:** Viant - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $150,000 - $190,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Apache Tomcat, Automation of Tests, Big Data, BigQuery, Cloud Storage, Code Review, Databases, Software Debugging, Github, Web Browsers, JQuery, Javaserver Pages, Python (Programming Language), MySQL, Routing, Performance Tuning, Software Engineering, SQL Databases, YAML, Highcharts, Google Cloud, Java Application Server, File Transfer Protocol (FTP), Large Language Models, Backend, Agentic-AI, Kubernetes, Data Management, Front End Software Development, Virtual Agents, Restful APIs, Docker - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-full-stack-engineer-los-angeles-ca--35270cd8-f760-448e-b596-0c5d697a2ac3 ## About the Role Software Engineering, Artificial Intelligence (AI), Production Systems, JavaScript, Java, Emerging Technology, Web Browsers, Artificial Intelligence (AI) Agents, SQL (Structured Query Language), Problem Solving Skills ## Description Viant is looking for a Senior Software Engineer to join the Potens team and help evolve Magnus and Goliath, two internal platforms that power workflow orchestration and large-scale data exploration. This is a hands-on, full-stack engineering role combining the modernization of mature production systems with the development of new AI-powered capabilities. You'll work across Java and Go backend services, browser-based JavaScript applications, data platforms, and emerging AI technologies. A key part of the role will be expanding how users and authorized AI agents interact with our platforms from creating and managing workflows to exploring BigQuery data, generating and executing SQL, and securely accessing platform capabilities through AI tools. We're looking for an engineer who enjoys solving complex production problems, working across the stack, and owning software from design through deployment and ongoing support. Magnus is a visual workflow orchestration platform supporting BigQuery, Cloud Storage, MySQL, REST APIs, email, FTP, conditional routing, parallel execution, Go and JavaScript scripting, YAML workflow definitions, debugging, audit history, and access controls. Goliath is a lightweight, high-performance BigQuery development interface for writing and executing SQL, browsing datasets and tables, visualizing results, and managing cost and quota allocation without requiring direct access to the GCP Console. As these platforms evolve, you'll help expand their AI capabilities, including enabling users and authorized AI agents to: * Create, understand, and modify Magnus workflows * Discover, execute, and monitor workflows through MCP * Explore BigQuery datasets and schemas through Goliath * Generate, execute, and interpret SQL using AI * Securely access platform capabilities through permission-aware AI tools, * Maintain and modernize Magnus Java applications, REST APIs, and Goliath's JavaScript/jQuery frontend * Develop and support backend capabilities using Java and Go * Build production AI features and integrations using LLMs, tool calling, guardrails, evaluation, and MCP * Integrate with BigQuery, MySQL, GCP services, and internal APIs * Diagnose and resolve application, workflow, database, performance, and production issues * Build automated tests and deliver reliable, production-quality software * Own projects end to end, from technical proposal and implementation through deployment and production support * Participate in code reviews and contribute to sound engineering practices across the team, * MCP server/client development and AI agent or tool-calling architectures * Go development in production environments * GCP and BigQuery * Docker, Kubernetes, or GKE * MySQL performance optimization * CI/CD pipelines, including GitHub Actions * Python development * Java 8, Tomcat, JSP, CodeMirror, or Chart.js * Incremental modernization of mature applications while maintaining production stability