Senior Big Data Engineer
About The Position
We are seeking a Senior Big Data Engineer to join our Infrastructure Engineering team. This role is responsible for designing, building, maintaining, and modernizing our enterprise big data platforms that support large-scale data processing and analytics across the organization. The ideal candidate has extensive experience with distributed data platforms such as Kafka, Hadoop/MapR, Aerospike, and Linux-based infrastructure. This individual will work closely with Infrastructure, SRE, Database, and Engineering teams to ensure our platforms are scalable, highly available, secure, and performant. This is a hands-on engineering role requiring strong operational experience supporting mission-critical production environments while driving platform modernization initiatives.
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.
Nice To Haves
- 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.
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.
Benefits
- Annual performance-based bonus
- Equity (NASDAQ: MGNI)
- Comprehensive benefits package
- Comprehensive Healthcare Coverage from Day One
- Generous Time Off
- Holiday Breaks and Quarterly Wellness Days
- Equity and Employee Stock Purchase Plan
- Family-Focused Benefits and Parental Leave
- 401k Retirement Savings Plan with Employer Match
- Disability and Life Insurance
- Cell Phone Subsidy
- Monthly Fitness and Reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
