Staff Engineer, Software
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Job Description
Staff Software Engineer owning backend services and high-throughput pipelines for AlphaSense’s AI-powered market intelligence platform. Setting technical direction, integrating AI/ML, and leading cross-team engineering initiatives.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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