Staff Software Engineer

🕒 May 21

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 32%

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 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Remote work options • Professional development opportunities