14 days ago
Herẕliyya, IsraelMid Level / Senior
Responsibilities
- Design, build, and maintain scalable application infrastructure and internal platforms for engineering teams.
- Develop and operate secure, reliable AWS infrastructure and Kubernetes-based production environments.
- Build and improve CI/CD pipelines, deployment processes, Infrastructure as Code, and automation.
- Develop self-service platform tools that improve developer productivity and experience.
- Improve system reliability, availability, performance, scalability, observability, and security.
- Lead troubleshooting, incident investigation, and root cause analysis for complex production issues.
- Define infrastructure, deployment, observability, and security best practices across engineering teams.
- Evaluate and integrate AI tools, LLM-based tools, AI agents, and AIOps capabilities into infrastructure and operational workflows.
- Collaborate with R&D, Security, Architecture, Data, and Cloud teams.
Requirements
- 3–5 years of hands-on experience in DevOps, Platform Engineering, or Infrastructure Engineering roles.
- Strong hands-on production experience with AWS, Kubernetes, and containerized environments.
- Experience with AWS services including EKS, EC2, IAM, VPC, Route 53, S3, RDS, Lambda, and CloudWatch, or similar services.
- 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 production-grade automation or code using Python, Go, Bash, or a similar language.
- Strong understanding of Linux, networking, DNS, load balancing, distributed systems, monitoring, logging, tracing, and observability.
- 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 and cross-functional collaboration skills.
- Hands-on experience using AI and generative AI tools in software development, infrastructure, or operational workflows.
- Experience with LLM APIs, AI coding assistants, AI automation tools, prompt engineering, responsible AI usage, and secure handling of sensitive information.
- Experience with CAG, AI agents, RAG, MCP, LLM integrations, or AIOps solutions is advantageous.
- Bonus experience includes data platforms, data infrastructure, data pipelines, data ingestion, streaming systems, distributed data architectures, large-scale multi-region or multi-account AWS environments, GitOps, service mesh, API gateways, service discovery, observability tools, cloud security, secrets management, and Vault.
Benefits
- The company operates globally from 25 offices across 19 countries and promotes equal opportunity, diversity, curiosity, and innovation.
Tech Stack
Categories
About AppsFlyer
AppsFlyer builds a marketing measurement and analytics platform for mobile-first brands and developers, spanning attribution, deep linking, privacy-centric data collaboration, and fraud protection. It sells enterprise SaaS and usage-based tools that help marketers connect spend to outcomes across mobile and connected experiences. Founded in 2011 and privately held, the company is headquartered in San Francisco and processes over 150 billion mobile app events daily for customers worldwide.