Senior Systems Software Engineer - Fedora Core OS & Yocto

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    "description_html": "<h2><strong>Role Overview</strong></h2><p>We are seeking a <strong>Senior Systems Software Engineer (6+ years experience)</strong> with strong expertise in <strong>Go (Golang)</strong> to build and optimize software running on <strong>large-scale edge appliances deployed in theatre networks</strong>.</p><p>The role requires deep expertise in <strong>distributed systems, system-level programming, storage, and performance optimization</strong>, especially in environments with <strong>network variability and hardware constraints</strong>.</p><hr><h2><strong>Key Responsibilities</strong></h2><h3><strong>Core Development (Go & Edge Systems)</strong></h3><ul><li>Design and develop high-performance services in <strong>Go (Golang)</strong> running on edge appliances.</li><li>Build reliable systems for <strong>content download, validation, and duplication</strong> across devices.</li><li>Handle <strong>intermittent connectivity, retries, and fault tolerance</strong> in real-world network conditions.</li><li>Debug and resolve complex issues across distributed appliance environments.</li></ul><hr><h3><strong>Edge Appliance & System-Level Engineering</strong></h3><ul><li>Develop software that interacts closely with <strong>OS, disk, and hardware layers</strong>.</li><li>Optimize <strong>disk I/O, file handling, and storage utilization</strong> for large media/content files.</li><li>Work with file systems such as <strong>XFS, ZFS, EXT4</strong> for performance and reliability.</li><li>Ensure system stability during <strong>OS upgrades, hardware differences, and field deployments</strong>.</li></ul><hr><h3><strong>Distributed Systems & Fleet Management</strong></h3><ul><li>Build and maintain systems operating across a <strong>10K+ fleet</strong>.</li><li>Implement <strong>efficient content distribution, synchronization, and replication mechanisms</strong>.</li><li>Ensure <strong>data consistency and integrity</strong> across distributed nodes.</li><li>Design for <strong>scalability, observability, and remote operability</strong> of edge devices.</li></ul><hr><h3><strong>AWS & Cloud Integration</strong></h3><ul><li>Integrate appliance workflows with <strong>AWS services (S3, EC2, CloudFront, CloudWatch)</strong>.</li><li>Build efficient and reliable <strong>data transfer pipelines from cloud to edge</strong>.</li><li>Optimize download throughput, cost, and reliability across large-scale deployments.</li><li>Ensure <strong>secure content delivery and storage</strong>.</li></ul><hr><h3><strong>Performance & Reliability Engineering</strong></h3><ul><li>Optimize system performance for <strong>large file transfers, duplication, and storage operations</strong>.</li><li>Monitor and tune <strong>CPU, memory, disk I/O, and network utilization</strong>.</li><li>Identify bottlenecks and improve <strong>throughput, latency, and resilience</strong>.</li><li>Build systems that can <strong>self-heal and recover gracefully</strong> from failures.</li></ul><hr><h3><strong>Automation & Observability</strong></h3><ul><li>Develop tools for <strong>deployment, monitoring, and debugging of remote appliances</strong>.</li><li>Implement <strong>logging, metrics, and alerting</strong> for fleet-wide visibility.</li><li>Build automation using <strong>Go, Python, or Shell scripting</strong>.</li><li>Integrate with CI/CD pipelines for reliable releases.</li></ul><hr><h2><strong>Required Skills</strong></h2><ul><li>6+ years of software development experience</li><li>Strong hands-on experience in <strong>Go (Golang)</strong></li><li>Solid understanding of <strong>operating systems, file systems, and storage concepts</strong></li><li>Experience building or working with <strong>distributed systems at scale</strong></li><li>Hands-on experience with <strong>AWS (S3, EC2, CloudFront, etc.)</strong></li><li>Strong debugging skills in <strong>production and distributed environments</strong></li></ul><hr><h2><strong>Nice to Have</strong></h2><ul><li>Experience working on <strong>edge devices / on-prem systems</strong></li><li><strong>Experience with container orchestration</strong></li><li>Familiarity with <strong>content delivery, media systems, or large file workflows</strong></li><li>Exposure to <strong>network variability handling (low bandwidth, intermittent connectivity)</strong></li><li>Experience with <strong>performance tuning and system-level optimization</strong></li></ul><hr><h2><strong>Why This Role is Interesting</strong></h2><ul><li>Work on <strong>real-world distributed systems</strong> deployed across <strong>different locations</strong></li><li>Solve challenges involving <strong>large-scale content distribution and edge computing</strong></li><li>Own critical systems that directly impact <strong>content delivery in theatre environments</strong></li><li>Opportunity to work across <strong>cloud + edge + system-level layers</strong></li></ul>",
    "description_text": "Role Overview\n We are seeking a Senior Systems Software Engineer (6+ years experience) with strong expertise in Go (Golang) to build and optimize software running on large-scale edge appliances deployed in theatre networks .\n The role requires deep expertise in distributed systems, system-level programming, storage, and performance optimization , especially in environments with network variability and hardware constraints .\n Key Responsibilities\n Core Development (Go & Edge Systems)\n Design and develop high-performance services in Go (Golang) running on edge appliances.\n Build reliable systems for content download, validation, and duplication across devices.\n Handle intermittent connectivity, retries, and fault tolerance in real-world network conditions.\n Debug and resolve complex issues across distributed appliance environments.\n Edge Appliance & System-Level Engineering\n Develop software that interacts closely with OS, disk, and hardware layers .\n Optimize disk I/O, file handling, and storage utilization for large media/content files.\n Work with file systems such as XFS, ZFS, EXT4 for performance and reliability.\n Ensure system stability during OS upgrades, hardware differences, and field deployments .\n Distributed Systems & Fleet Management\n Build and maintain systems operating across a 10K+ fleet .\n Implement efficient content distribution, synchronization, and replication mechanisms .\n Ensure data consistency and integrity across distributed nodes.\n Design for scalability, observability, and remote operability of edge devices.\n AWS & Cloud Integration\n Integrate appliance workflows with AWS services (S3, EC2, CloudFront, CloudWatch) .\n Build efficient and reliable data transfer pipelines from cloud to edge .\n Optimize download throughput, cost, and reliability across large-scale deployments.\n Ensure secure content delivery and storage .\n Performance & Reliability Engineering\n Optimize system performance for large file transfers, duplication, and storage operations .\n Monitor and tune CPU, memory, disk I/O, and network utilization .\n Identify bottlenecks and improve throughput, latency, and resilience .\n Build systems that can self-heal and recover gracefully from failures.\n Automation & Observability\n Develop tools for deployment, monitoring, and debugging of remote appliances .\n Implement logging, metrics, and alerting for fleet-wide visibility.\n Build automation using Go, Python, or Shell scripting .\n Integrate with CI/CD pipelines for reliable releases.\n Required Skills\n 6+ years of software development experience\n Strong hands-on experience in Go (Golang)\n Solid understanding of operating systems, file systems, and storage concepts\n Experience building or working with distributed systems at scale\n Hands-on experience with AWS (S3, EC2, CloudFront, etc.)\n Strong debugging skills in production and distributed environments\n Nice to Have\n Experience working on edge devices / on-prem systems\n Experience with container orchestration\n Familiarity with content delivery, media systems, or large file workflows\n Exposure to network variability handling (low bandwidth, intermittent connectivity)\n Experience with performance tuning and system-level optimization\n Why This Role is Interesting\n Work on real-world distributed systems deployed across different locations\n Solve challenges involving large-scale content distribution and edge computing\n Own critical systems that directly impact content delivery in theatre environments\n Opportunity to work across cloud + edge + system-level layers",
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