Senior Fullstack Software Engineer, Startpage

New consumer products that extend Startpage beyond the search box, on desktop and on the web

The search results page itself: new features for subscribers and for everyone, within the constraints of our search partnerships

Real-time decisioning that shapes what a user sees for a given query

The homepage and engagement features that bring people back

Traffic quality and abuse prevention for a product that attracts automated traffic

Data instrumentation and reporting so the team can see what is working

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

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

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