Staff Software Engineer – Replication Manager

🕒 May 29

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Design and implement scalable replication services across HDFS, Hive, HBase, Apache Iceberg, and other big data technologies • Lead complex data migration initiatives between on-premises clusters and cloud environments including AWS S3 and Azure ADLS Gen2 • Build robust APIs and microservices for the Replication Manager platform • Design fault-tolerant, petabyte-scale distributed systems with comprehensive monitoring, alerting, and observability capabilities • Ensure data security and governance compliance during movement operations • Drive technical decisions for new features and evaluate emerging technologies • Partner with CDP, SRE, and field engineering teams to integrate replication capabilities • Guide junior engineers on best practices and conduct code reviews

🎯 Requirements

• 8+ years in software engineering with strong proficiency in Java, Scala, or Python • Deep hands-on experience with the Apache Hadoop ecosystem (HDFS, Hive, HBase, YARN) • Solid experience with modern data formats including Apache Iceberg, Delta Lake, and Hive tables with ACID support • Practical experience across AWS, Azure, and GCP storage services • Working knowledge of containerization tools like Docker and Kubernetes • Proven ability to architect large-scale distributed systems • Familiarity with security protocols and data governance frameworks • Well-versed in agile SDLC, CI/CD pipelines, automated testing, Git-based code review workflows, and observability tooling including Prometheus, Grafana, and the ELK stack

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups