описание
Business Area:
Engineering
Seniority Level:
Mid-Senior level
задачи
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.
Mission: Build the next-generation Agentic AI Data Platform
At Cloudera, we don't just manage data—we empower the world’s largest enterprises to transform complex data into a competitive edge. With a data footprint rivaling the hyperscalers, we are the essential partner for digital transformation, fueled by the relentless innovation of the open-source community.
Cloudera Anywhere Cloud is our hybrid data and Agentic AI platform. Built on a modular, Kubernetes-native, and API-first foundation, it delivers a unified console and Marketplace to govern and deploy data and AI services seamlessly across any public cloud and private data centre.
We are seeking a Senior Platform Engineer to help build and evolve the Marketplace experience—the front door for Cloudera Data Services, Machine Learning, and Agentic AI offerings. In this high-impact Individual Contributor role, you will design, develop, and maintain scalable platform capabilities, collaborating with Product and Engineering teams to deliver reliable, secure, and intuitive experiences for enterprise customers across multi-cloud environments.
This role is not eligible for relocation or immigration support.
- Feature Development: Design, implement, test, and deliver platform features that support Cloudera's Marketplace and data services, working closely with Product and Engineering colleagues to translate requirements into effective technical solutions.
- Platform Engineering: Develop and maintain scalable, resilient services using modern software engineering practices, contributing to the evolution of Cloudera's Kubernetes-native platform.
- Cloud-Native Development: Build and enhance Kubernetes-based services, working with concepts such as multi-tenancy, networking, resource management, and service-mesh technologies.
- Scalability and Performance: Identify performance bottlenecks, troubleshoot complex technical issues, and improve the reliability and efficiency of services operating across distributed environments.
- CI/CD and Automation: Contribute to automated build, test, deployment, and release pipelines, helping improve developer productivity and delivery quality.
- Infrastructure as Code: Develop and maintain automation using Infrastructure as Code tools such as Terraform, supporting consistent and repeatable infrastructure provisioning and management.
- Code Quality and Reliability: Write clean, maintainable, well-tested code and contribute to code reviews, technical design discussions, monitoring, and operational improvements.
- Cross-Team Collaboration: Work with engineers across teams to integrate services, resolve dependencies, and deliver features aligned with the wider platform architecture.
- Continuous Improvement: Evaluate emerging technologies and engineering practices, identify opportunities to simplify systems, and contribute to the ongoing improvement of Cloudera's platform.
требования
- A strong engineering mindset, a passion for solving complex problems, and a commitment to delivering high-quality software.
- A Bachelor's or Master's degree in Computer Science or a related discipline, or equivalent practical experience.
- 3-5+ years of relevant experience in developing and maintaining production-grade software systems.
- Experience with distributed systems, data-processing platforms, or cloud-native infrastructure.
- Proficiency in at least one programming language such as Java, Scala, Go, Python, Rust, or C++.
- Experience designing, implementing, testing, and troubleshooting software features in a collaborative engineering environment.
- Familiarity with software architecture principles, design patterns, data structures, algorithms, and API development.
- Experience with version control, automated testing, code reviews, and CI/CD practices.
- Strong problem-solving, communication, and collaboration skills, with the ability to work effectively across engineering teams.
You may also have:
- Hands-on experience with a major public cloud platform, such as AWS, Azure, or GCP, and/or private cloud platforms such as OpenShift or Rancher.
- Experience building and operating containerised applications using Docker and Kubernetes.
- Familiarity with cloud-native networking, service meshes such as Istio or Linkerd, and deployment tools such as Helm or Argo CD.
- Experience with Infrastructure as Code tools such as Terraform or Crossplane.
- Familiarity with secrets management tools such as HashiCorp Vault.
- Experience with developer tooling, GitOps workflows, and automated software delivery.
- Knowledge of Apache Spark or related data-processing technologies.
- Familiarity with Apache Iceberg, Polaris, and other data catalog technologies.
- Contributions to open-source projects or involvement in the wider engineering community.
условия
- 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
