Staff Software Engineer

Staff Software Engineer (Replication Manager)Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa.1 day ago Be among the first 25 applicantsJob DescriptionAt Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.Business AreaEngineeringSeniority LevelMid‑Senior levelAbout the TeamThe Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.Role OverviewThe Replication Manager team is seeking passionate developers to enhance replication support for the Cloudera Data Platform. The team’s mission is to provide a seamless experience for customers moving data and associated entities to support migration, replication, and disaster recovery. Replication Manager enables customers to replicate data across data centers or between on‑premises and cloud environments. This includes data in HDFS, Ozone, or cloud buckets; Hive, HBase, or Iceberg tables; Ranger permissions; and Atlas lineage. Datasets range from terabytes to petabytes, with challenges such as millions of directories, large file sizes, and near real‑time HBase WAL replication.ResponsibilitiesBuild and maintain large‑scale replication systems on top of the Cloudera Data Platform stackBe responsible for our products running in productionWork with a distributed team of engineers to design cloud‑based, low RPO, RTO replication architecturesSupport replication across multiple Cloudera components like HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and RangerGive and take actionable feedbackMentor junior engineersWork with product management and occasionally, with field engineers on the product roadmap and early access feature introductionsQualificationsMasters in Computer Science or related field and 4‑6 years of experience – or Bachelors and more than 6 years of relevant industry experienceStrong backend engineering skill set with expertise in Java or Scala or KotlinAbility to read large codebases and write succinct, clean codeExperience with system software design and development with an understanding of computer architecture, storage, network, and IO subsystemsSystems/DevOps experienceAdditional Qualifications (Optional)Experience with large-scale, distributed systems design and development with an understanding of scaling, replication, consistency, and high availabilityCurrent expertise with Java/Scala/Kotlin developer ecosystemsExperience with AWS, Azure or GCPTest automation experience along with Python basicsBackground in performance tuning, identifying performance bottlenecks, and implementing performance optimizationsWhy this role mattersYou will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling. Collaboration is key; you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. xcskxlj This is your chance to build the future of data and see your work make a global impact.BenefitsGenerous PTO PolicySupport work life balance with Unplugged DaysFlexible WFH PolicyMental & Physical Wellness programsPhone and Internet Reimbursement programAccess to Continued Career DevelopmentComprehensive Benefits and Competitive PackagesPaid Volunteer TimeEmployee Resource GroupsEEO/VEVRAA#J-18808-Ljbffr