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As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

Lead and scale complex product partnerships end-to-end, sourcing, negotiating, and operationalizing strategic deals that enhance DuckDuckGo products (search, Duck.ai, subscriptions). Work cross-functionally with Product, Engineering, Legal, and Finance to build first-of-their-kind integrations, create playbooks, manage partner portfolios, and drive distribution and user engagement for AI-related services.

Leads site reliability engineering for large-scale, privacy-focused infrastructure. Responsibilities include managing SRE teams, solving complex software and systems reliability challenges, supporting 24x7 operations, troubleshooting distributed Linux and web systems, developing automation, improving observability and incident response, deploying applications with Docker, and shaping technical direction. The role also requires advanced programming, AI-driven development, agentic workflows, and ownership of high-impact projects from proposal through postmortem.

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

Lead and own major components of DuckDuckGo's privacy technology using Go, Node.js, Python, and Perl. Design and implement privacy features, improve search and AI features without compromising privacy, build tracker-detection features, participate in privacy reviews and audits, and mentor engineers over time.

Lead high-complexity privacy engineering initiatives across DuckDuckGo products. Own privacy reviews, audits, and technical programs from definition to delivery; build automation and privacy-preserving infrastructure; evolve triage and review processes; drive cross-functional projects; and hire and mentor privacy engineering talent while shaping company-wide privacy strategy.