Magnite is the world’s largest independent sell-side advertising platform, and they are seeking a Senior Big Data Engineer to join their Infrastructure Engineering team. This role is responsible for designing, building, maintaining, and modernizing enterprise big data platforms that support large-scale data processing and analytics across the organization.
Responsibilities:
- Design, deploy, administer, and optimize enterprise Big Data platforms
- Manage and support distributed technologies including:
- Apache Kafka
- Hadoop / MapR
- Aerospike
- Build highly available, scalable, and resilient data infrastructure across multiple data centers
- Perform capacity planning, performance tuning, troubleshooting, and root cause analysis for production environments
- Automate infrastructure deployment, configuration management, and operational workflows using Infrastructure as Code and scripting
- Collaborate with Software Engineering, Data Engineering, SRE, and Database teams to support new applications and platform requirements
- Implement monitoring, alerting, and observability solutions to ensure platform health and availability
- Participate in production support and on-call rotations for critical infrastructure
Requirements:
- 4+ years of experience supporting large-scale Linux infrastructure
- 4+ years of experience administering distributed Big Data platforms
- Strong experience with Apache Kafka
- Strong experience with Hadoop (MapR, Cloudera, Apache Hadoop, or similar)
- Strong experience with Aerospike
- Strong Linux system administration experience (RHEL, Rocky Linux, CentOS)
- Experience with relational databases such as PostgreSQL
- Experience with relational databases such as MySQL
- Experience troubleshooting distributed systems in production environments
- Strong knowledge of networking fundamentals including DNS, TCP/IP, load balancing, and security
- Experience with shell scripting (Bash, Python, or similar)
- Experience with monitoring platforms such as Grafana, Prometheus, Graphite, or similar
- Experience working in highly available, 24x7 production environments
- Ability to work independently in a fast-paced production environment
- Passion for automation, operational excellence, and continuous improvement
- Experience with Kubernetes and containerized workloads
- Experience with Ceph or other distributed storage platforms
- Experience with Infrastructure as Code tools such as Terraform or Spacelift
- Experience with configuration management tools such as Puppet or Ansible
- Experience with cloud platforms (AWS)
- Familiarity with CI/CD pipelines and DevOps practices