Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob 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.
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.
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
EEO/VEVRAA
#LI-AB1
#LI-Hybrid
Skills Required
- MSc/BSc degree in computer science or equivalent industry experience
- Demonstrated experience in large scale distributed projects
- Strong background in public cloud (AWS, GCP, Azure) including security, infrastructure provisioning, containerization, and service enablement
- Advanced Java programming skills
- Experience with Go, Python and TypeScript
- Solid knowledge of Linux environments, networking, virtual machines and container technologies (e.g., Docker)
- Experience with CI/CD solutions such as Jenkins and GitHub Actions
- Experience with full software development lifecycle, production operations, monitoring, alerting, and participating in an on-call rotation
- Excellent communication and collaboration skills across geographies
- Passion for coaching and developing team members
Cloudera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.
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Leave & Time Off Breadth — Time off includes generous PTO and holidays plus recurring company‑wide Unplugged Days that provide regular recharge time. Volunteer time off and flexible scheduling options further expand usable leave.
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Healthcare Strength — Health coverage spans comprehensive medical, dental, and vision alongside EAP, wellness sessions, and U.S. gym reimbursement. These elements position healthcare as a strong anchor within the package.
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Strong & Reliable Incentives — Compensation often includes variable incentives and long‑term incentive programs with annual bonuses commonly offered. Sales and other revenue roles show competitive on‑target earnings when goals are met, reinforcing the incentive structure.
Cloudera Insights
What We Do
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,
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