Staff Engineer, Software

• Set technical direction, make build-vs-buy decisions, define architecture, and own the technical roadmap with product leadership
• Turn ambiguous problems into concrete plans by scoping work, identifying risks, breaking down initiatives, and driving 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
• Drive cross-team technical initiatives, lead RFCs, architectural reviews, and consensus-building
• 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 role modeling

• Strong in Python, the primary backend language
• Production experience in at least two programming languages
• Designed and owned production systems serving real users at scale
• Made consequential architectural decisions and owned outcomes
• Led 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
• Hands-on session in a real development environment as part of the technical interview
• Ability to navigate unfamiliar code, leverage AI tools critically, decompose problems, make incremental progress, and communicate trade-offs
• Experience leading large-scale migrations or platform rewrites
• Hands-on AI/ML production experience with LLMs, BERT, NLP pipelines, or document understanding systems
• Experience with content processing, enrichment, or search systems at scale
• Familiarity with Java
• Experience with GitOps, ArgoCD, or Infrastructure as Code
• Active practice of AI-assisted development (AIDLC)

• AlphaSense never asks candidates to pay for job applications, equipment, or training
• Equal-opportunity employer committed to a supportive, inspiring, and respectful work environment
• Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws