---
title: 'Senior Software Engineer at Finout'
canonical: 'https://feeny.ai/job/senior-software-engineer-finout-tel-aviv-c6q96kpgh2e9'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer at Finout

- **Company:** Finout
- **Location:** Tel Aviv, Israel
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-07
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/finout/41048083-c28d-49d7-a0db-62f2cbd3a93b

## Job description

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you.

## ABOUT THE ROLE

As a Senior Software Engineer at Finout, you’ll play a key role in building and scaling the data infrastructure that powers our platform. You’ll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers.

You’ll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, you’ll contribute to architectural decisions and help shape the next generation of Finout’s data platform.

This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale.

Responsibilities:

- Own, enhance, and improve Finout’s core platform
- Build and maintain systems for collecting and processing metrics from client environments
- Focus on system efficiency and resilient infrastructure
- Integrate well-known SaaS platforms into Finout’s big data repository (e.g., major cloud providers, Datadog, Snowflake)
- Optimize Spark and Airflow processes
- Contribute to data design and platform architecture while working closely with other business units and engineering teams
- Face the challenges of testing and monitoring large-scale data pipelines

Requirements:

- 7+ years of experience developing and operating large-scale, high-availability systems
- 7+ years of experience with Python (Experience with Go is a plus)
- Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR)
- Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data – a strong plus
- Autodidact, self-motivated team player with strong communication skills and a passion for solving challenges at scale

## OUR VALUES

[https://app.ashbyhq.com/api/images/user-content/5b63edf3-ee2f-4601-8842-e7d5682dd788/ed740e71-5733-4f21-a82f-3398d76ebab7/Values5.png]

We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

## About Finout

## Company Overview
- **One-liner**: Finout provides an enterprise-grade FinOps platform that helps companies allocate, manage, and reduce cloud and AI spending across their entire infrastructure.
- **Entity Type**: Private (Series C, raised $85M total)
- **Headquarters**: Tel Aviv, Israel (also has an office in New York, NY, USA)
- **Founded**: 2021
- **Founders**: Roi Ravhon (CEO), Yizhar Gilboa (CTO), Asaf Liveanu (CPO)

## Core Business
- **Primary industry**: Cloud Financial Operations (FinOps), Cloud Cost Management, AI Cost Optimization
- **Target customers**: B2B – Enterprise DevOps, FinOps, Platform, and Finance teams; also mid-market and startups
- **Mission or purpose statement**: “We make costs easy to understand across any cloud infrastructure and scale—from AI cost to Kubernetes. From startups to enterprises, we turn cloud chaos into clarity.” [finout.io/about/]

## Products & Services
- **Finout FinOps Platform**: SaaS platform that ingests cloud and SaaS spend from AWS, Azure, GCP, Kubernetes, Snowflake, Databricks, OpenAI, Anthropic, Cursor, and more, then automatically allocates costs using patented Virtual Tagging™ (no manual tagging required). [finout.io]
- **MegaBill Engine**: Ingests and normalizes all cloud bills into a single view, enabling real-time cost allocation across multi-cloud and third-party services. [linkedin.com]
- **AI Cost Management**: Tracks GPU costs per AI model, allocates OpenAI/Anthropic spend, and surfaces waste from AI workloads. [finout.io]
- **Budgeting & Forecasting**: Set budgets per team/project, automate forecasts, and embed cost data into existing workflows (Slack, Jira, CI/CD pipelines). [finout.io]
- **CostGuard** (waste detection): Connects with AWS/Azure/GCP recommendation engines to automatically detect and eliminate cloud waste. [finout.io]

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metrics**: Total funding of $85M (Series C raised $40M in January 2025, led by Insight Partners) [finout.io/about/]; estimated annual revenue of $1M (per LinkedIn, likely based on headcount) [linkedin.com]
- **Notable Investors/Partners**: Insight Partners (lead Series C), Red Dot Capital Partners (lead Series B), Team8 Capital (lead Series A), Pitango VC (lead Seed), Intel Ignite (non-equity assistance). Board includes Yvonne Wassenaar, Liran Grinberg, Eyal Niv, Barak Salomon, Teddie Wardi. [finout.io/about/]
- **Growth Signals**: Acquired Cloudthread in April 2024; headcount grew 10.2% YoY to ~97 employees; recognized as “Honorable mention in the Magic Quadrant” for Cost Management; customers include enterprises with complex multi-cloud environments. [finout.io, linkedin.com]

## Competitive Advantages
- **Patented Virtual Tagging™**: Allows instant, code-agnostic cost allocation without requiring engineering teams to tag resources – a key differentiator vs. legacy FinOps tools that rely on manual tagging.
- **Unified platform**: Covers cloud, Kubernetes, SaaS, and AI spend in one place, with native integrations across 15+ providers and reduction engines.
- **AI-native**: Purpose-built to handle the unpredictability of AI/GPU costs, a rapidly growing pain point for enterprises.
- **Enterprise-grade**: Designed for scale and proactive governance, embedding financial intelligence into CI/CD, Slack, Jira, and forecasting workflows.

## Strategic Focus
- **Deepening AI cost management** – Given the rise of AI workloads, Finout is doubling down on ingesting costs from LLM providers (OpenAI, Anthropic, Cursor) and GPU infrastructure.
- **Scaling sales and customer success** – Recent hiring for Enterprise Account Executives and Sales Engineers in the US and EMEA indicates a push into larger enterprise deals.
- **Product-led growth with self-service** – The platform offers a free tier and is designed for quick onboarding, suggesting a land-and-expand motion.

## Why Work Here
- **Culture**: Emphasizes empathy, ownership (“Own it. Fail, learn, and take responsibility”), teamwork, and laser focus on execution. Described as “pleasant and friendly,” with transparent environment and cross-functional collaboration. [finout.io/careers]
- **Flexible work**: Hybrid model – offices in Tel Aviv and New York with the option to work from home a few days a week. [finout.io/careers]
- **Team composition**: 97 employees, ~52% in Israel, 28% in the US; technical roles make up ~24% of staff. [linkedin.com]
- **Perks**: Generous benefits; dog-friendly office; open communication; diversity & inclusion focus. [finout.io/careers]
- **Engineering culture**: Fast-paced startup environment with modern cloud-native stack; engineers work directly with customers and participate in product decisions.

## Sources
1. [finout.io](https://www.finout.io/)
2. [finout.io/careers](https://www.finout.io/careers)
3. [finout.io/about/](https://www.finout.io/about/)
4. [linkedin.com/company/finout-io](https://www.linkedin.com/company/finout-io)

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