Staff Engineer, Software

• Set technical direction, make build-vs-buy decisions, define architecture, and own the technical roadmap with product leadership
• Scope ambiguous work, identify risks, break down initiatives into deliverable increments, and drive cross-team alignment
• Design and deliver scalable pipelines, robust services, and high-performance production systems
• Use AI-assisted development tools such as Claude Code, Cursor, and Copilot
• Evaluate and integrate AI/ML capabilities, including LLMs, embeddings, and classification models, into production systems
• Lead cross-team technical initiatives, RFCs, architectural reviews, and consensus-building on technical decisions
• Own systems from requirements through release and production operation
• Monitor SLOs/SLIs, troubleshoot production issues, and improve reliability
• Raise engineering standards through code reviews, mentorship, technical documentation, and modeling best practices
• Navigate unfamiliar code, decompose problems, make incremental progress, and communicate trade-offs during technical interviews

• Strong in Python, the primary backend language
• Production code shipped in at least two programming languages
• Experience designing and owning production systems serving real users at scale
• Experience making consequential architectural decisions
• Experience leading cross-team technical initiatives without formal authority
• Strong system design instincts covering failure modes, data flow, scalability, and operational cost
• Deep DevOps and operational experience with Kubernetes, cloud infrastructure (AWS/Azure/GCP), CI/CD, and observability
• Track record of mentoring engineers and raising team standards
• Experience with large-scale migrations or platform rewrites preferred
• Hands-on AI/ML production experience with LLMs, BERT, NLP pipelines, or document understanding systems preferred
• Experience with engineering-wide standards, practices, or tooling preferred
• Experience with content processing, enrichment, or search systems at scale preferred
• Familiarity with Java preferred
• Experience with GitOps, ArgoCD, or Infrastructure as Code preferred
• Active use of AI-assisted development tools in daily engineering workflow preferred

• Equal-opportunity employer committed to a supportive, respectful work environment
• Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws
• AI tools available and pre-configured for the technical interview