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# Senior Fullstack Software Engineer, Startpage

- **Company:** System1, Inc.
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $133,000 - $183,000
- **Contract:** Permanent contract
- **Skills:** JIRA, Automation of Tests, Github, Mobile Application Software, Machine Learning, SQL Databases, Snowflake, Low Latency
- **Published:** November 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=835ec8a5ee034ecd

## 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, * 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, * Small North America-based team, weekly releases
 * Product work starts as a clickable prototype; engineers are expected to push back on it before building
 * Agents do the typing; engineers own the architecture, the review and the outcome
 * Data over opinion: every feature ships with instrumentation and a success metric
 * Jira for tracking, GitHub for code, Sigma and Snowflake for analytics, Slack for the day to day