Sr. Software Engineer - AI & Data Platforms (Hybrid)

Viant Technology•Los Angeles, CA

3d•$150,000 - $180,000•Hybrid

About The Position

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

Requirements

Java and Go backend services
Browser-based JavaScript applications
Data platforms
Emerging AI technologies
Solving complex production problems
Working across the stack
Owning software from design through deployment and ongoing support
Creating and managing workflows
Exploring BigQuery data
Generating and executing SQL
Securely accessing platform capabilities through AI tools

Nice To Haves

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

Responsibilities

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