Jobs at Cloudera

The Senior Data Scientist at Cloudera will design and deliver AI-powered applications, focusing on generative AI and machine learning, while ensuring scalable and production-ready solutions.

Lead technical sales from discovery through post-sales, design and demonstrate Cloudera solutions, partner with account managers, advocate customer needs to product and engineering, and evangelize Cloudera externally.

Design and implement high-performance Rust infrastructure services (reverse proxies, credential brokers, log collectors) for Kubernetes. Ensure security-critical correctness with thorough testing (property-based and fuzzing), define systems architecture and observability, drive technical direction, mentor engineers, and own production deployments and performance-sensitive components.

Embed with strategic customers to prototype, build, and productionize full‑stack AI and agentic applications. Advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to Product to scale enterprise AI deployments.

The Partner Sales Manager at Cloudera is responsible for driving sales opportunities, developing partner strategies, managing partnerships, and forecasting sales metrics in alignment with corporate goals.

As a Staff Software Engineer, you will enhance replication support for Cloudera Data Platform, mentor junior engineers, and build robust replication systems.

Embed with strategic enterprise customers to prototype, build, and productionize full-stack generative AI and agentic applications; advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to product. Focus on scalable, secure AI architectures and LLM/MLOps practices to operationalize RAG, fine-tuning, semantic search, and agentic workflows.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.

Lead global commercial and operational initiatives to accelerate Private AI adoption. Establish governance and operating rhythms, run monthly business reviews, prioritize accounts and use cases, define strategic metrics, align ecosystem and commercial strategies, and build business cases and growth models to guide executive decision-making.

Drive technical pre-sales with Account Executives: lead discovery, design tailored CDP solutions, deliver demos and proofs-of-concept, advise on architecture and streaming/data ecosystem adoption, and translate customer feedback into product and adoption initiatives.

Design and implement scalable hybrid-cloud Kubernetes platform components, enhance Taikun APIs and operators (C#/Go), ensure security and FedRAMP compliance, standardize observability, and enable seamless upgrades for large stateful workloads.

Design, implement, and maintain cloud connectors integrating Cloudera's platform with AWS, Azure, GCP. Build scalable data ingestion and synchronization code, lead architecture and design, mentor engineers, perform code reviews, troubleshoot production issues, and document APIs and designs.

Own and grow strategic enterprise accounts by driving net-new revenue, leading large sales cycles, aligning product and services experts, forecasting and leading internal teams, and exceeding software subscription and cloud consumption targets.

The role involves driving technical sales strategy for AI solutions, consulting on data architectures, and presenting to C-level executives, requiring extensive customer-facing experience and AI proficiency.

The Senior Solutions Architect will design and develop scalable data solutions, manage Hadoop clusters, and collaborate with clients to resolve complex data challenges.

Lead architecture and development of an enterprise agentic AI and MLOps platform. Build scalable backend services, SDKs, autonomous and multi-agent systems, evaluation and observability pipelines, memory and state infrastructure, and RAG capabilities. Establish engineering standards, improve developer velocity, collaborate with product and engineering teams, and mentor junior engineers. The role requires deep distributed-systems, Kubernetes, cloud, LLM orchestration, vector database, and agentic framework expertise.

Architect and deliver cloud-native, scalable data-management services using Go and Java. Lead cross-team initiatives, produce high-fidelity designs, implement secure performant microservices on Kubernetes/OpenShift, mentor engineers, and collaborate with product, UX, SRE, and security teams.

Provide technical and business consultation throughout the sales process. Responsibilities include discovering customer requirements, designing and demonstrating solutions, presenting architectures and business outcomes, defining technical sales strategies, supporting account planning, understanding competitive differentiators, translating feedback into product roadmap items, evangelizing solutions, and mentoring team members. The role focuses on enterprise software, big data, data governance, infrastructure, generative AI, and solution architecture.

Embed with strategic enterprise customers to prototype, build, and productionize generative AI and agentic applications. Advise on AI roadmaps, design scalable secure architectures, implement LLMOps/MLOps (RAG, fine-tuning, monitoring), codify repeatable solution patterns, and mentor internal teams.

Embed with strategic enterprise customers to prototype, build, and productionize full‑stack generative AI and agentic applications. Advise on AI roadmaps, design scalable, secure solution architectures, codify repeatable patterns, and mentor teams to operationalize LLMOps/MLOps practices (evaluation, monitoring, serving, lifecycle).