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