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Staff/Senior Software Engineer, Document Intelligence & Data Infrastructure (Helios)
New York, New York
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Lead / management
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
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the posting
Staff/Senior Software Engineer, Document Intelligence & Data Infrastructure
New York City | Full-time | On-site in SoHo, five days per week
Reports to the CTO and works directly with the founding team
ABOUT HELIOS
Helios is building a new kind of company to solve America’s hardest problems, starting with the government interaction layer.
Government shapes every consequential market, but the infrastructure connecting public institutions and private organizations remains fragmented, manual, and difficult to navigate. Helios is rebuilding that layer.
Our core platform, Proxi, gives organizations the intelligence they need to understand what government is doing, why it matters, and what to do next. From that foundation, we design and deploy secure, mission-specific systems for government agencies, enterprises, and institutions operating in complex and highly regulated environments.
We bring together frontier AI, deep public-sector expertise, and forward-deployed execution. Our team includes leaders and builders from the White House, U.S. Department of State, Datadog, and Microsoft. We are backed by leading institutional investors and trusted by organizations working on high-stakes problems across government and industry.
MISSION
Build and operate the acquisition and processing infrastructure that turns global public-sector and open-source data into reliable, searchable intelligence. This role owns the path from source discovery and collection through normalization, extraction, enrichment, and publication. You will expand our platform to include new countries, languages, institutions, and source formats covering many additional areas of open source intelligence to advance Proxi’s natural capabilities. We are looking for a senior engineer who has built and operated large-scale acquisition or document-processing systems in production.
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