Senior Software Engineer, Java, Public Cloud

November 4

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Cloudera

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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.

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

📋 Description

• Design and implement backend components for the public cloud infrastructure that powers our multi-cloud and hybrid data management platform. • Develop reliable and secure microservices using Java (and occasional Go) to manage cluster provisioning, configuration, and lifecycle operations across AWS, Azure, and GCP. • Build integrations with cloud APIs and contribute to core systems, enabling scalability, observability, and operational excellence. • Participate in system design discussions, code reviews, and troubleshooting of complex distributed services. • Contribute to CI/CD pipelines and automation frameworks to ensure efficient build, test, and release workflows.

🎯 Requirements

• BSc/MSc in Computer Science or equivalent practical experience • 3+ years of software development experience, ideally building distributed or cloud-based systems • Strong programming skills in Java; experience with Go is a plus • Solid knowledge of Linux environments, networking, virtual machines and container technologies (e.g., Docker) and CI/CD solutions like Jenkins, Github Actions • Experience with the full software development lifecycle, including production operations, monitoring, alerting, and participating in an on-call rotation for the services you build • Experience working with public cloud platforms (AWS, Azure, or GCP) and their APIs • Understanding of container technologies (e.g., Docker, Kubernetes) and infrastructure automation concepts • A proactive, hands-on approach to problem-solving with attention to detail and quality • Strong communication and collaboration skills to work effectively across distributed teams.

🏖️ 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