Staff Software Engineer

What You'll Do Set technical direction for your area - make build-vs-buy decisions, define architecture, and own the technical roadmap alongside product leadership. Take ambiguous problems and make them concrete - scope work, identify risks, break down large initiatives into deliverable increments, and drive alignment across teams. Design and deliver production-grade systems - scalable pipelines, robust services, and high-performance solutions that serve real users at scale. Leverage AI tools as part of your workflow - you use AI-assisted development (Claude Code, Cursor, Copilot) to accelerate your work and have formed opinions on when it helps and when it gets in the way. Evaluate and integrate AI/ML capabilities into production systems when the problem calls for it - you don't need to be an ML researcher, but you're sharp enough to pick up LLMs, embeddings, or classification models and put them to work. Drive cross-team technical initiatives - influence engineers and teams you don't manage. Lead RFCs, drive architectural reviews, and build consensus on hard technical decisions. Own what you build - from requirements to release to production. You build it, you run it. You monitor SLOs/SLIs, troubleshoot production issues, and continuously improve reliability. Raise the engineering bar - through code reviews, mentorship, technical documentation, and by modeling the standards you expect from others. Must Have Strong in Python (our primary backend language). Comfortable working across languages - you've shipped production code in at least two. Designed and owned production systems serving real users at scale - not just contributed to them, but made consequential architectural decisions and lived with the outcomes. Led cross-team technical initiatives without formal authority - driven migrations, platform changes, or architectural shifts that required aligning multiple teams. Strong system design instincts - you think in terms of failure modes, data flow, scalability, and operational cost. You design for the system you'll maintain, not just the one you'll ship. Deep DevOps and operational experience - Kubernetes, cloud infrastructure (AWS/Azure/GCP), CI/CD, observability. You don't throw code over the wall. Track record of mentoring engineers and raising team standards - through pairing, reviews, RFCs, and leading by example. Good to Have Experience leading large-scale migrations or platform rewrites Hands-on experience with AI/ML in production - LLMs, BERT, NLP pipelines, or document understanding systems Contributed to or driven engineering-wide standards, practices, or tooling Experience with content processing, enrichment, or search systems at scale Familiarity with Java (parts of our stack) Experience with GitOps, ArgoCD, or Infrastructure as Code Active practitioner of AI-assisted development (AIDLC) - uses AI tools daily in their engineering workflow Why This Role Real impact at scale - our entitlements engine manages complex workflows for an exponentially growing number of entitlement data for users and documents. Your architectural decisions will directly affect Top Global Companies. Autonomy with accountability - Staff Engineers at AlphaSense own their technical area. You'll have the freedom to make big decisions and the responsibility to make them stick. Hard problems, not busywork - Complex rule engine, Multi-format document processing, real-time entitlements with low latency. The problems are genuinely interesting. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @ alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page . If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.