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# Senior Fullstack Software Engineer, Startpage

- **Company:** System1, Inc.
- **Location:** Marina del Rey, CA, United States
- **Experience:** Expert
- **Salary:** $133,000 - $183,000
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Cascading Style Sheets (CSS), Continuous Integration, Data Retention, Web Development, Mobile Application Software, Python (Programming Language), Machine Learning, Redis, SQL Databases, TypeScript, Cloud Platform System, ReactJS, Snowflake, AI Coding Agents, Backend, Kubernetes, Low Latency, Production Code, Front End Software Development, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/16_3ebbbd30

## About the Role

* Daily, hands-on use of agentic coding tools: you can run agents in loops, write the evals that keep them honest, coordinate multi-agent workflows, and know when to take the keyboard back
 * 5+ years of professional web development, owning both frontend and backend in production
 * Strong Python, plus JavaScript or TypeScript, React, and modern CSS and HTML
 * Hands-on with Docker, Kubernetes, Helm and Redis
 * CI/CD and monitoring tooling, and AWS or a comparable cloud platform; comfortable being paged for what you ship
 * Solid automated testing habits
 * SQL fluency and the habit of checking your own feature's numbers after launch
 * Care for performance: you know what a 100 ms regression costs on a search results page
 * Clear written communication with a distributed team and outside vendors

Nice to have:

 * Desktop browser or mobile app experience, especially Chromium, Electron or a shipped native app
 * Prior search or privacy product experience
 * Ads or recommendations systems, especially serving ML models at low latency
 * Bot detection, fraud or abuse prevention
 * SEO-driven site generation at scale
 * Familiarity with EU privacy regulation

## Description

* Design, build and ship features end to end, from API and data model through to the UI
 * Drive your work with AI coding agents: give them the tools, context and guardrails they need, run them in loops against a spec, orchestrate several agents in parallel on one problem, and review what they produce with a critical eye
 * Turn interactive prototypes from product into production code, keeping the intent and cutting what does not hold up
 * Own services in production on Kubernetes: deploys, monitoring, the on-call rotation, and the latency and uptime targets a search product demands
 * Shape architecture decisions and lead tech-debt reduction so the codebase stays fast to change
 * Protect user privacy in every design decision: no tracking, minimal data retention, and no third-party calls that leak queries
 * Write automated tests as a matter of course
 * Instrument features and read your own results in Sigma and Snowflake; propose the next iteration from the data
 * Work with outside partners and agencies so web and app experiences stay consistent
 * Write clear tickets, PRs and design notes; review teammates' work the same day