---
title: 'DevOps Engineer- Avon.AI at Pagaya Israel'
canonical: 'https://feeny.ai/job/devops-engineer-avon-ai-pagaya-israel-tel-aviv-7q6hd6fzka9t'
type: 'job'
last_seen: '2026-11-08'
---

# DevOps Engineer- Avon.AI at Pagaya Israel

- **Company:** Pagaya Israel
- **Location:** Tel Aviv, Israel
- **Posted:** 2026-09-28
- **Last confirmed live:** 2026-11-08
- **Apply:** https://job-boards.greenhouse.io/pagayais/jobs/8006459003

## Job description

## About Avon AI

Avon AI is the management and control platform for enterprise conversational AI. Enterprises are deploying AI agents faster than they can govern them — Avon AI gives them one place to manage those agents and the knowledge behind them: continuous quality monitoring of real conversations, proactive testing and simulation before changes ship, knowledge-base management, and real-time guardrails that can sit inline in the conversation path to block, redact, or correct what an agent says.

We are agent-agnostic: Avon AI works with agents our customers built themselves and with third-party agents they only integrate with — across any framework or vendor. Customers run us as SaaS on AWS, or deploy the full platform inside their own private cloud when regulation demands it. We're a small, fast-moving team with offices in Tel Aviv, working with enterprise customers in finance, healthcare, insurance, travel, and more.

## About the Role

We're looking for a DevOps / Platform Engineer to own our infrastructure end to end- both sides of it.

Side one is our multi-tenant SaaS on AWS: you build it, you run it, you keep it fast, secure, and up. Side two is the part that makes this role unusual — our enterprise customers deploy Avon AI inside their cloud (and sometimes fully air-gapped, on-prem environments). You'll own that too: packaging the platform, running the installation with the customer's infrastructure and security teams, and being the person on the call when their environment doesn't look like anyone's reference architecture.

This is a customer-facing engineering role. You'll be in rooms with enterprise IT, security, and platform teams- walking them through our architecture, answering security review questions, and unblocking deployments. If you want a pure behind-the-scenes infra job, this isn't it. If you like owning infrastructure and being the trusted technical voice in front of a customer, read on.

You'll be our first dedicated DevOps hire, which means you inherit real systems in production and a lot of room to shape how they evolve.

## Key Responsibilities

- EKS, networking, data stores, CI/CD, cost, and uptime. Build and evolve it with Infrastructure as Code.
- Maintain and improve our Helm charts and container distribution so Avon AI installs cleanly in a customer's Kubernetes cluster.
- Plan and execute installations in customers' private clouds and on-prem/air-gapped environments, working hands-on with their infrastructure teams from kickoff through go-live.
- Support security reviews and architecture discussions, and translate enterprise IT constraints back into our roadmap.
- IAM, network segmentation, secrets management, WAF, and the controls enterprise customers audit us on.
- Metrics, logs, tracing, and alerting for our SaaS, and self-contained monitoring for customers who won't ship telemetry outside their network.
- CI/CD pipelines, ephemeral PR sandboxes, release automation, and local development so engineers ship quickly and safely.
- For our SaaS tenants and for deployed customer installations, including on-call ownership of what you build

## Requirements

- 4+ years as a DevOps Engineer, Platform Engineer.
- Strong hands-on AWS- EKS, EC2, VPC, IAM, S3, Lambda, CloudFormation/CDK, WAF.
- Deep Kubernetes knowledge- cluster architecture, networking, and real production debugging. Helm authoring is a must, not a nice-to-have: our charts are the product our customers install.
- Infrastructure as Code- Terraform, CloudFormation, or equivalent, with a real automation mindset.
- CI/CD ownership- GitHub Actions (preferred), Jenkins, or similar, including release and artifact pipelines.
- Docker and container packaging- multi-service images, registries, and distribution to environments you don't control.
- Strong scripting and automation- Python and Bash.
- Monitoring and observability- Prometheus, Grafana, OpenTelemetry, DataDog, Coralogix, CloudWatch, or similar.
- Excellent English, written and spoken, and genuine customer-facing skills — you can lead a technical call with an enterprise customer's infra and security team, explain an architecture clearly, and stay calm when a deployment is blocked.
- Proven track record running highly available, production-grade, service-oriented systems.

Our Pagaya Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

## Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

- Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
- Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
- Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
- Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
- Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

## #LI-GS2

https://pagaya.com/privacy-policy

## About Pagaya Israel

## Company Overview
- **One-liner**: Pagaya is an AI-powered lending network that enables financial institutions to approve more customers by using machine learning to evaluate and fund loans through a marketplace of institutional investors.
- **Entity Type**: Public (NASDAQ: PGY)
- **Headquarters**: Global headquarters at 335 Madison Ave, New York, NY 10017; major R&D and operations hub in Tel Aviv, Israel (Azrieli Sarona Bldg, 54th Floor)
- **Founded**: 2016
- **Founders**: Not publicly listed in available materials; the company was founded by seasoned research, finance, and technology entrepreneurs.

## Core Business
- **Primary industry**: Consumer credit and lending technology (fintech)
- **Target customers**: B2B – financial institutions (banks, credit unions, fintech lenders) and institutional investors
- **Mission**: “Deliver more financial opportunity to more people, more often” by becoming the trusted lending technology partner for the consumer finance ecosystem.

## Products & Services
- **Decline Monetization**: Flagship product that automatically routes rejected loan applications to Pagaya’s network for a “second look,” enabling partners to approve customers they would otherwise decline without taking on additional credit risk.
- **Dual Look**: A product that evaluates applications both before and after a partner’s initial decision, increasing approval rates.
- **Auto Loans & Point-of-Sale (POS) Financing**: Expanded offerings that integrate via API to provide real-time credit decisions at the point of sale or during auto purchasing.
- **Single-Family Rental (SFR)**: A residential real estate solution that uses Pagaya’s AI to facilitate financing for single-family rental properties.

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources (publicly traded; market cap varies with stock price – check Nasdaq for current figure).
- **Key Metric**: Processed over $3.6 trillion in loan applications across consumer credit asset classes since inception (as of 2025 10-K); 518 employees as of December 31, 2025.
- **Notable Investors/Partners**: Over 30 lending partners and 30+ institutional investors (per pagaya.com); the company’s network connects financial institutions with capital providers.
- **Growth Signals**: Expansion from personal loans into auto loans, point-of-sale financing, and single-family rental; headquarters relocated to New York in early 2024; continuous hiring across R&D, data science, and partnerships in Tel Aviv.

## Competitive Advantages
- **AI & Data Moat**: Proprietary machine learning models trained on trillions of dollars in loan applications, creating a powerful flywheel – more data improves accuracy, which attracts more partners and investors.
- **Seamless API Integration**: Low-latency, zero-latency integration with partner origination systems requiring minimal upfront investment.
- **Compliance-Ready**: Fully aligned with U.S. fair lending, data security, and risk management regulations.
- **Network Effects**: The combination of high application volume and real-time data flow enables rapid adaptation to market conditions and consumer trends.

## Strategic Focus
- Expand product suite across additional asset classes (e.g., further penetration in auto and SFR).
- Deepen relationships with existing partners and onboard new financial institutions.
- Maintain capital efficiency by effectively managing risk and matching loans with institutional investors.
- Continue investing in AI, data science, and engineering talent, particularly in the Tel Aviv R&D center.

## Why Work Here
- **Culture**: Described as “a team of curious builders” with a “move fast and smart” ethos; emphasis on partnership, collaboration, and community.
- **Work Environment**: Tel Aviv office is a major hub for engineering, data science, research, and product roles; hybrid/office policy not explicitly stated but many roles are listed as Tel Aviv-based.
- **Growth Trajectory**: Public company with rapid expansion across asset classes and geographies; employees get exposure to cutting-edge AI/ML work applied to real-world financial systems.
- **Team**: Over 500 “Pagayans” globally; flat, entrepreneurial culture where every team member is solving new challenges.
- **Notable Perks**: Not detailed in provided sources, but competitive compensation and benefits are highlighted as part of the company’s ability to retain talent.

## Sources
1. [Greenhouse.io - Pagaya Israel Jobs](http://job-boards.greenhouse.io/pagayais)
2. [Pagaya Careers Page](https://pagaya.com/careers/)
3. [Pagaya Homepage](https://pagaya.com/)
4. [Pagaya Investor Relations - 2025 10-K](https://investor.pagaya.com/static-files/60531c69-7058-4b12-9f29-72cf0ffe7a4f)
5. [Greenhouse.io - Senior Data Scientist Job Posting](https://job-boards.greenhouse.io/pagayais/jobs/7720945003)

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