DevOps Engineer – Big Data

About the Company

A global adtech company with 1,200 employees and offices in the US, Israel, Europe and APAC. It runs an end-to-end advertising platform (DSP + SSP) for leading global brands. Its systems process millions to billions of events per second, so reliable, scalable data infrastructure is core to the business.

The Role

We're looking for a DevOps Engineer with hands-on Big Data experience to build, run and scale the cloud infrastructure behind our high-throughput data platforms. You'll combine classic DevOps work on AWS, Terraform and EKS with configuring, tuning and operating large-scale data systems in production.

Responsibilities

• Design, build and maintain cloud infrastructure on AWS using Terraform (IaC)
• Deploy and operate containerised workloads on Kubernetes (EKS)
• Configure, manage, scale and tune Big Data platforms such as Hadoop, Kafka, ClickHouse, Redis or Elasticsearch
• Ensure high availability, performance and data reliability of clusters handling very large data volumes
• Build and improve CI/CD pipelines and automation
• Set up monitoring, alerting and logging; troubleshoot production incidents and drive root-cause analysis
• Plan capacity, upgrades and cost optimization of the data infrastructure
• Work closely with data and backend engineering teams to support their platforms

Requirements

• 5+ years as a DevOps / Infrastructure / SRE engineer
• Strong hands-on experience with AWS (must)
• Strong experience with Terraform (must)
• Production experience with Kubernetes, preferably EKS (must)
• Hands-on experience configuring and managing at least one Big Data platform in production: Hadoop, Kafka, ClickHouse, Redis or Elasticsearch (must)
• CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD)
• Scripting in Python, Bash or Go
• Monitoring and observability tools (Prometheus, Grafana, ELK, Datadog)
• Solid Linux and networking fundamentals
• Strong English; communicative, independent, proactive team player

What we offer:

• A great team of experienced engineers who value collaboration and knowledge sharing
• A large-scale global project used by the world's best-known brands
• Fully remote work with a flexible, distributed team
• Real ownership and influence over architecture and technical decisions