Senior Software Engineer (Go / Java)

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At 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.

At Cloudera, our Data Services Pillar is the heart of data innovation. Cloudera Data Engineering (CDE) is our next-generation cloud-native service built on Apache Spark and Apache Airflow. It is the only service purpose-built for enterprise data engineering teams, providing an all-inclusive toolset for orchestration, pipeline monitoring, and visual troubleshooting across hybrid cloud environments.

As a Senior Software Engineer on you will:

• Architect & Build: Design scalable, high-performance, cloud-native platforms that enable data scientists and engineers to run distributed workloads using Spark and Airflow.

• Master Kubernetes: Develop and operate microservices on Kubernetes, ensuring reliability, scalability, and efficient resource utilization.

• Scale Distributed Systems: Build and enhance systems for orchestration, scheduling, monitoring, and lifecycle management of large-scale data pipelines.

• Lead Technical Decisions: Drive design discussions with a focus on performance, scalability, and resiliency.

• Own the Lifecycle: Take full ownership of features end-to-end: from initial design and development to testing, deployment, and production support.

• Mentor & Advocate: Guide junior engineers and champion engineering best practices across the organization.

We’re excited about you if you have:

• 5+ years of experience designing and building distributed, scalable systems in production environments.

• Kubernetes Mastery (Mandatory): Strong, hands-on experience designing and operating containerized workloads, with a deep understanding of scheduling, autoscaling, and networking.

• Backend Proficiency: Strong fundamentals in data structures and algorithms with proficiency in Java or Golang.

• Cloud Expertise: Proven experience with at least one major cloud platform (AWS or Azure).

• Data Intensity: Experience building or operating data-intensive applications or large-scale platforms.

• Systems Thinking: The ability to troubleshoot complex production issues and improve the observability of large-scale systems.

You may also have:

• Big Data Ecosystem: Experience with Apache Spark, Airflow, or Hive.

• Modern Dev Tools: Experience leveraging AI-assisted tools (e.g., Claude Code, Cursor, Copilot) to improve productivity and code quality.

• Observability: Familiarity with tools like Prometheus and Grafana.

• Open Source: Contributions to big data or cloud-native open-source ecosystems.

• AI/ML: Exposure to AI/ML pipelines or infrastructure.

What you can expect from us:

• 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

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