Staff Engineer, Software

🔥 9 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• 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