Senior Big Data Engineer

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 involves designing, building, maintaining, and modernizing enterprise big data platforms to support large-scale data processing and analytics.

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, Hadoop (MapR, Cloudera, Apache Hadoop, or similar), Aerospike
• Strong Linux system administration experience (RHEL, Rocky Linux, CentOS)
• Experience with relational databases such as: PostgreSQL, 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