Cloud Systems Administrator 3
Location: Annapolis Junction, MD
Department: Build
Location Type: IN_OFFICE
Employment Type: FULL_TIME
- Identify, deploy, and operate software tools to efficiently manage and monitor large compute clusters
- Diagnose and resolve hardware and software issues within Hadoop and Apache Accumulo environments
- Install, configure, and maintain tools supporting distributed data processing and storage platforms
- Support cluster performance, reliability, and scalability through proactive monitoring and tuning
- Collaborate with engineering and operations teams to support high-performance, mission-critical systems
- Within the past ten (10) years, at least seven (7) years of experience managing and monitoring large Hadoop clusters exceeding 200 nodes
- Within the past ten (10) years, at least five (5) years of experience writing automation scripts using Python, Perl, or Ruby
- Within the past ten (10) years, at least five (5) years of experience implementing and supporting multi-platform, multi-system networks, including environments built on UNIX/Linux and Cisco-based hardware, with hands-on troubleshooting and issue resolution
- Within the past ten (10) years, at least five (5) years of experience implementing network solutions for complex, high-performance systems using UNIX or Linux platforms
- At least two (2) years of experience with open-source NoSQL or distributed data platforms, such as HBase, Apache Accumulo, or BigTable, supporting massively parallel computation
- At least three (3) years of experience with Hadoop Distributed File System (HDFS)
- Within the past two (2) years, a minimum of six (6) months of system administration experience in one or more of the following environments:
- Kubernetes
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- US citizenship and an active security clearance required
- Strong Linux system administration background
- Experience supporting high-performance computing (HPC) or large-scale analytics platforms
- Familiarity with monitoring, logging, and cluster management tools in distributed environments
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