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Pagaya Investments

AI-powered asset management and ABS issuance

DevOps / Platform Engineer

DevOps EngineeringUpdated on Nov 8
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 4 years of experience as a DevOps Engineer or Platform Engineer.
  • Hands-on experience with AWS services including EKS, EC2, VPC, IAM, S3, Lambda, CloudFormation or CDK, and WAF.
  • Deep Kubernetes knowledge, including cluster architecture, networking, and production debugging; Helm authoring is required.
  • Experience with Infrastructure as Code tools such as Terraform or CloudFormation, with an automation mindset.
  • Ownership of CI/CD using GitHub Actions, Jenkins, or similar, including release and artifact pipelines.
  • Experience with Docker and container packaging, including multi-service images, registries, and distribution to environments outside the engineer's control.
  • Strong scripting and automation skills using Python and Bash.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, OpenTelemetry, DataDog, Coralogix, or CloudWatch.
  • Excellent written and spoken English and the ability to lead technical calls with enterprise infrastructure and security teams, explain architecture clearly, and handle deployment blockers.
  • A proven track record running highly available, production-grade, service-oriented systems.

Responsibilities

  • Build and evolve the multi-tenant AWS SaaS infrastructure, including EKS, networking, data stores, CI/CD, cost management, and uptime, using Infrastructure as Code.
  • Maintain and improve Helm charts and container distribution so the platform installs cleanly in customer Kubernetes clusters.
  • Plan and execute installations in customers' private clouds and on-premises or air-gapped environments, working hands-on with customer infrastructure teams from kickoff through go-live.
  • Support security reviews and architecture discussions, and translate enterprise IT constraints into product-roadmap input.
  • Own IAM, network segmentation, secrets management, WAF, and the controls audited by enterprise customers.
  • Provide metrics, logs, tracing, and alerting for the SaaS platform, and self-contained monitoring for customers who cannot send telemetry outside their networks.
  • Build and maintain CI/CD pipelines, ephemeral pull-request sandboxes, release automation, and local development workflows.
  • Own the deployed SaaS tenants and customer installations, including on-call responsibility.

Desired Qualifications

  • GitHub Actions experience is preferred.

About the Company

Pagaya Investments

AI-powered asset management and ABS issuance

Pagaya Investments uses artificial intelligence to manage institutional money through asset management products, especially asset-backed securities (ABS). It analyzes large datasets with machine learning to uncover opportunities in complex credit markets and to understand consumer behavior, then issues and actively manages AI-driven ABS for institutional investors. The product works by collecting data, training models to forecast cash flows and credit risk, structuring ABS, and continuously supervising them with AI, often in collaboration with tech-enabled partners. The company differentiates itself through large-scale, AI-powered active management of ABS, data-driven consumer insights, and an ecosystem of partnerships, enabling rapid development of end-to-end financial solutions. Its goal is to grow asset management by delivering AI-enabled financial products that deepen understanding of consumer behavior and improve returns for institutional clients.

Company size
201-500
Company stage
IPO
Headquarters
New York City, New York
Founded
2016

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