AI Assisted Development

Senior Software Engineer, Backend - Internal Tools | Los Angeles, CA

The opportunity

Build a new internal tools platform from the ground up, bringing legacy systems together into a modern advertiser management platform. You will shape APIs, middleware, backend services and the data model, working across product and engineering teams to deliver reliable, high-performance software.

Role details

Location: Los Angeles, California. Candidates must be based in the Pacific Time zone; Los Angeles is preferred.

Work arrangement: Hybrid preferred, with three days per week in Santa Monica. Fully remote or hybrid flexibility is available depending on location, with some travel to Santa Monica.

Employment: Full-time

Base salary: $175,000-$195,000 per year, depending on location, knowledge, skills and experience.

Relocation assistance: Not available. Visa sponsorship: Not available now or in the future.

Security clearance: Not required. Travel: Occasional.

What you will do

Design, build and maintain scalable Java and Spring Boot backend services, RESTful APIs and microservices.

Help define system architecture and technology choices, with a focus on reliability, performance and maintainability.

Design and optimise relational schemas and queries, protecting data integrity and consistency.

Consolidate internal tools and integrate systems across Publisher, Merchant and other business teams.

Develop APIs and services that can support AI use cases.

Troubleshoot complex issues, improve performance and refactor the codebase.

Maintain strong testing, code review and documentation practices.

Evaluate useful tools and frameworks, including AI-assisted development tooling.

What you will bring

6+ years of professional backend development experience, including delivery of high-performance systems.

Strong Java and hands-on Spring Boot experience, plus solid RESTful API design and implementation skills.

Expertise in relational databases such as MySQL or PostgreSQL, including schema design and query optimisation.

Strong software architecture, design patterns, distributed systems and microservices knowledge.

Practical daily use of AI coding tools such as Claude Code, GitHub Copilot or Cursor for generation, refactoring, testing and debugging. You must critically review generated code and take ownership of what you ship.

Excellent communication, cross-functional collaboration and analytical problem-solving skills; experience working in Agile teams.

A professional LinkedIn profile. A Computer Science, Engineering or related degree is preferred, not required.

Useful additional experience

Python, Node.js or Go; NoSQL databases or analytical warehouses such as BigQuery.

Integrating LLM APIs or building internal AI-powered tools.

Building new internal platforms and integrating multiple tools or legacy systems.

Benefits

Medical, dental and vision cover; 401(k) matching; life and AD&D insurance; short- and long-term disability; maternity, paternity and medical leave; flexible time off and paid holidays; learning and development; wellness resources; equity; team events and office food and snacks.