---
title: 'Infrastructure Engineer at Endex'
canonical: 'https://feeny.ai/job/infrastructure-engineer-endex-new-york-91gx5ezc6dp0'
type: 'job'
last_seen: '2026-11-10'
---

# Infrastructure Engineer at Endex

- **Company:** Endex
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-07
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/endex/0369f97b-2594-4eb2-935c-7b18dcfd03ca

## Job description

## Who We Are

Endex builds AI agents that handle complex, end-to-end work for the world's most demanding teams. Today we're deployed across leading financial institutions and Fortune 500 companies, embedded in the tools and workflows they rely on. We operate at the frontier of agentic knowledge work, partnering closely with top AI research labs and backed by the OpenAI Startup Fund. We're on a mission to build the most capable digital coworker in the world.

## About the Role

Location: New York City Commitment: 5 Days In-Person We're looking for an engineer who can make the systems behind Endex reliable, observable and straightforward for the team to operate. As an Infrastructure Engineer at Endex, you'll build and maintain the platform our product and agents run on. You'll work with product engineers to improve deployments, service reliability and the developer experience, making sure the infrastructure supports demanding customer workloads as usage grows.

## Your Key Responsibilities

- Build the Production Platform: Maintain cloud infrastructure, deployment environments and shared services for product and agent workloads.
- Make Reliability Observable: Establish service-level indicators, actionable alerts and runbooks that help engineers diagnose and recover from failures.
- Improve Release Safety: Build repeatable CI/CD and infrastructure-as-code workflows with tested changes and predictable rollback paths.
- Support Engineering Velocity: Build tools, environments and documentation that reduce friction in development and production operations.
- Operate for Scale: Investigate incidents, plan capacity and improve performance and resource efficiency as usage grows.

## What We're Looking For

- Infrastructure Experience: You've built and operated production cloud systems and understand their practical trade-offs.
- Software Fluency: You can write maintainable automation and tooling rather than relying on manual configuration.
- Reliability Judgment: You can diagnose failures, prioritize meaningful risks and make systems easier to observe and recover.
- Developer Mindset: You understand what engineers need from the platform and build clear, usable interfaces and workflows.
- Production Ownership: You can automate infrastructure, diagnose a distributed-system failure and turn incident learning into a durable improvement.

## Nice to Have

- Experience with infrastructure as code, containers and cloud networking
- Experience operating AI workloads, distributed job systems or enterprise SaaS
- Experience with Terraform or comparable infrastructure as code, containers and cloud observability

Full-Time Benefits

- Health & Dental Insurance
- Monthly Wellness Stipend
- 401K Matching

## About Endex

## Company Overview
- **One-liner**: Endex is an Excel-native AI Agent that accelerates financial modeling and data analysis for investment professionals.
- **Entity Type**: Private (Venture-backed; $14M led by OpenAI Startup Fund)
- **Headquarters**: New York City, New York, United States
- **Founded**: 2022
- **Founders**: Tarun Amasa (CEO) and Pratham Soni (Chief Research Officer)

## Core Business
- **Primary industries**: AI-powered financial analysis / Financial technology
- **Target customers**: B2B – enterprise finance teams at investment banks, hedge funds, private equity firms (clients include Fortune 5 companies, $100B+ AUM firms, and top global investment banks)
- **Mission/purpose**: “AI Built for Excel” – to accelerate and automate the work of financial analysts by bringing advanced AI directly into the spreadsheet environment.

## Products & Services
- **Endex AI Agent**: A native Excel add-in that enables users to perform financial modeling, data analysis, deep research, and report generation using natural language. Key capabilities include:
  - **Trace References**: AI-labeled tracing of cell references across complex workbooks.
  - **Deep Research Integration**: Native access to OpenAI Deep Research with contextual understanding of the workbook and verified sources.
  - **Memories**: Remembers user preferences for style and recurring workflows.
  - **LLM Integrations**: Deeply integrated with major model providers (OpenAI GPT-4o, o1, o3-mini) with zero data retention agreements.
  - **PDF to Table Conversion**: Eliminates manual data entry from financial statements, pitch decks, and research reports.
  - **Formatting Shortcuts**: Apply consistent formatting instantly with customizable keyboard shortcuts.
  - **Firm Templates**: Create repeatable templates that autocomplete with new input data.
  - **Undo Changes**: One-click revert of unwanted changes.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding – $14M (venture round closed August 2025)
- **Notable Investors/Partners**:
  - Lead investor: OpenAI Startup Fund
  - Partners: Wall Street Prep, Columbia Business School
- **Growth Signals**:
  - Headcount grew 68.8% YoY (from ~11 to 20 employees)
  - LinkedIn followers grew 122.1% in the past year
  - Expanding presence: offices in NYC (HQ), with team members in Israel, Canada, and Brazil
  - Adoption by top-tier financial institutions (Fortune 5, hedge funds, private equity firms)
  - Featured in OpenAI case study as a model partner for building autonomous financial analysts

## Competitive Advantages
- **Excel-native**: Works directly inside Excel – no need to switch applications or learn new interfaces.
- **Finance-specific LLMs**: Custom-built models trained to understand financial documents, accounting methods, and complex charts.
- **Auditable outputs**: Every AI output includes integrated citations and attribution to underlying sources, allowing analysts to trace conclusions.
- **Deep OpenAI integration**: Uses OpenAI’s o1 and o3-mini reasoning models, achieving 70% preference over non-reasoning models in blind tests and enabling multi-step financial reasoning.
- **Enterprise-grade security**: AES-256 encryption in transit and at rest, TLS 1.2/1.3, SOC 2, ISO, CCPA, and GDPR compliant.

## Strategic Focus
- Scaling autonomous analyst capabilities to handle increasingly complex financial tasks (e.g., IC memo preparation, data room due diligence, precedent transaction analysis).
- Expanding customer base among financial firms and refining AI agents to act as true “co-workers” for investment teams.
- Continuing close collaboration with OpenAI to push the boundaries of vertical-specific AI for finance.

## Why Work Here
- **Culture**: Fast-moving AI startup backed by OpenAI, working on cutting-edge reasoning models applied to a high-stakes domain. Team is small (~20 people) with a technical majority (37% of headcount in engineering/research).
- **Remote/Hybrid**: Offices in New York City (HQ) and team members across Israel, Canada, and Brazil – likely flexible work arrangements.
- **Notable perks/engineering culture**:
  - Direct access to OpenAI’s latest models and research collaboration.
  - Opportunity to solve hard problems in financial AI (multimodal analysis, agentic workflows, reinforcement fine-tuning).
  - Emphasis on continuous evaluation and improvement – the team tracks metrics like response latency and reasoning depth.
  - Recent hires from top firms (Jump Trading, Two Sigma, Shopify) and university partnerships (Columbia Business School).

## Sources
1. [endex.ai](https://endex.ai/)
2. [linkedin.com/company/endexai](https://www.linkedin.com/company/endexai)
3. [openai.com/index/endex](https://openai.com/index/endex/)
4. [tracxn.com](https://tracxn.com/d/companies/endex/__1yPXQtxYejdoTb241G65VMwfNLRug0vfLus7qJxeNvo)

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