---
title: 'DevOps Platform Engineer at AppsFlyer'
canonical: 'https://feeny.ai/job/devops-platform-engineer-appsflyer-herzliya-bqjy3pzdytek'
type: 'job'
last_seen: '2026-11-11'
---

# DevOps Platform Engineer at AppsFlyer

- **Company:** AppsFlyer
- **Location:** Herzliya, Israel
- **Posted:** 2026-08-11
- **Last confirmed live:** 2026-11-11
- **Apply:** https://careers.appsflyer.com/jobs/position/8695882002?gh_jid=8695882002

## Job description

We are looking for an experienced DevOps Platform Engineer to join our Application Infrastructure team.

In this role, you will design, build, and operate scalable platforms and infrastructure that enable engineering teams to develop, deploy, and run services efficiently, securely, and reliably.

You will work in a complex, large-scale production environment using AWS, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.

What you’ll do:

- Design, build, and maintain application infrastructure and platforms used by engineering teams.
- Develop scalable, reliable, and secure infrastructure on AWS.
- Build and improve CI/CD pipelines, deployment processes, and infrastructure automation.
- Manage and operate Kubernetes-based production environments.
- Develop self-service tools and platform capabilities that improve developer productivity and experience.
- Improve system reliability, availability, performance, and scalability.
- Define and implement best practices for infrastructure, deployments, observability, and security.
- Lead troubleshooting, incident investigation, and root cause analysis for complex production issues.
- Collaborate with R&D, Security, Architecture, Data, and Cloud teams.
- Evaluate and implement AI-based tools for infrastructure automation, operational efficiency, incident analysis, and developer workflows.
- Develop or integrate AI agents, LLM-based tools, and AIOps capabilities into platform engineering processes.

What you have:

- 3-5 years of hands-on experience in DevOps, Platform Engineering, or Infrastructure Engineering roles.
- Strong hands-on experience working with AWS in production environments.
- Proven experience with AWS services such as EKS, EC2, IAM, VPC, Route 53, S3, RDS, Lambda, CloudWatch, or similar services.
- Strong experience with Kubernetes and containerized environments.
- Hands-on experience with Infrastructure as Code tools, preferably Terraform.
- Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Argo CD, or similar technologies.
- Experience writing automation or production-grade code using Python, Go, Bash, or a similar language.
- Strong understanding of Linux, networking, DNS, load balancing, and distributed systems.
- Experience with monitoring, logging, tracing, and observability platforms.
- Strong troubleshooting skills and the ability to investigate complex production issues.
- Ability to work independently, take ownership, and drive projects from design through production.
- Strong English communication skills and the ability to collaborate across multiple engineering teams.

AI Experience you have:

- Hands-on experience using AI and Generative AI tools as part of software development, infrastructure, or operational workflows.
- Experience working with LLM APIs, AI coding assistants, or AI automation tools.
- Ability to identify processes that can be improved through AI and translate them into practical engineering solutions.
- Understanding of prompt engineering, responsible AI usage, and the secure handling of sensitive information.
- Experience with CAG, AI agents, RAG, MCP, LLM integrations, or AIOps solutions is an advantage.

Bonus points:

- Experience working with data platforms, data infrastructure, or large-scale data processing systems.
- Understanding of data pipelines, data ingestion, streaming systems, or distributed data architectures.
- Experience operating large-scale, multi-region, or multi-account AWS environments.
- Experience with GitOps tools such as Argo CD or Akuity.
- Experience with service mesh, API gateways, or service discovery solutions.
- Experience with Datadog, Prometheus, Grafana, OpenTelemetry, or similar observability tools.
- Experience with cloud security, secrets management, and Vault

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

[“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.”](https://www.appsflyer.com/blog/how-all-in-shaped-our-story-and-could-define-your-career/) Oren Kaniel, CEO

## About AppsFlyer

## Company Overview
- **One-liner**: AppsFlyer provides a privacy-first, AI-powered Modern Marketing Cloud for unified measurement, data collaboration, and marketing analytics across mobile, web, CTV, and desktop.
- **Entity Type**: Private (Series D+; raised $1B in June 2026 at a $2.7B valuation)
- **Headquarters**: San Francisco, California, United States (also global HQ in Herzliya, Israel)
- **Founded**: 2011
- **Founders**: Oren Kaniel (CEO) and Reshef Mann (CTO)

## Core Business
- Primary industry: Marketing technology (MarTech) – mobile attribution, measurement, analytics, data collaboration
- Target customers: B2B – brands, marketers, app developers, and agencies of all sizes (startups to global enterprises)
- Mission: “Deliver AI-powered, privacy-first measurement technologies that turn data into growth opportunities.”

## Products & Services
- **Measurement Suite**: Omnichannel attribution and analytics to measure marketing performance across mobile, web, CTV, and desktop (SaaS).
- **Deep Linking Suite**: Tools for personalized user experiences and seamless cross-platform engagement (SaaS).
- **Data Collaboration Suite**: Privacy-safe data clean room and collaboration platform for secure data sharing with partners (SaaS).
- **Agentic AI Suite**: Autonomous, AI-driven workflows for user acquisition, retention, and marketing optimization (SaaS).

## Market Standing
- **Valuation**: $2.7 billion (as of June 2026)
- **Key Metric**: Total funding raised – over $1.2B (Series A $7.1M, B $20M, C $56M, D $210M in 2020, plus $1B round in 2026)
- **Notable Investors/Partners**: General Atlantic, Google, Meta, Unity, Moloco, Pitango Venture Capital, Qumra Capital, Goldman Sachs, Deutsche Telekom Capital Partners
- **Growth Signals**: 
  - Evolved from mobile attribution to “Modern Marketing Cloud” (Nov 2025)
  - Acquired Devtodev (gaming analytics) and oolo (AI user acquisition) in 2023
  - 15,000+ brands, 100,000+ active apps, 190+ countries reached
  - ~1,600 employees across 20+ offices globally (2026)

## Competitive Advantages
- **Privacy-first architecture**: Built for a world of rising privacy regulations; data clean room and consent-based measurement are core differentiators.
- **Industry standard for mobile attribution**: Recognized as the leading MMP (Mobile Measurement Partner) for over a decade.
- **AI-native platform**: Agentic AI Suite and automated workflows give marketers a competitive edge in efficiency and insight.
- **Global scale and partner ecosystem**: Integrates with Apple, Google, Meta, Amazon, AWS, and 8,000+ technology partners.

## Strategic Focus
- **AI and automation**: Deepening AI capabilities to enable autonomous marketing decisions.
- **Omnichannel expansion**: Moving beyond mobile to unify measurement across CTV, desktop, and offline.
- **Privacy-safe data collaboration**: Growing the Data Collaboration Suite to help brands and partners share insights without compromising privacy.
- **Continued global expansion**: Leveraging 20+ offices to serve local markets and enterprise clients.

## Why Work Here
- **Culture**: Described as “approachable professionals, passionate, flexible, and always learning” – encourages curiosity, experimentation, and learning from mistakes. [appsflyer.com](https://www.appsflyer.com/company/about/)
- **Stock options**: Every employee receives a stock option package. [careers.appsflyer.com](https://careers.appsflyer.com/)
- **Global mobility**: Global Employee Exchange Program (GEEP) lets employees spend a month in another office. [careers.appsflyer.com](https://careers.appsflyer.com/)
- **Perks**: Private health insurance, complimentary fitness classes, environmental sustainability support, flexible work arrangements. [careers.appsflyer.com](https://careers.appsflyer.com/)
- **Work model**: Mix of remote, hybrid, and in-office roles depending on location and team (e.g., some roles listed as “Remote”, others “In-Office”). [builtin.com](https://builtin.com/company/appsflyer)
- **Engineering culture**: Mission-critical platform; emphasis on data accuracy, privacy, and AI innovation. Teams are global and collaborative.

## Sources
1. [appsflyer.com](https://www.appsflyer.com/company/about/)
2. [careers.appsflyer.com](https://careers.appsflyer.com/)
3. [wikipedia.org](https://en.wikipedia.org/wiki/AppsFlyer)
4. [builtin.com](https://builtin.com/company/appsflyer)
5. [linkedin.com](https://www.linkedin.com/company/appsflyerhq)

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