# Engineering Manager - Enterprise AI at Cloudera

Cloudera is hiring an Engineering Manager - Enterprise AI for a remote role open to applicants in United States. Level rates it Little AI ●○○○; you can [apply on Cloudera](https://jobsbylevel.com/go/a5cb61c4-43bf-49c5-a24b-20aec213a4a9?utm_medium=ai-agent).

AI Level 1, AI centrality 23 out of 100. Remote (USA > Texas > Austin).

## Details

- Company: [Cloudera](https://jobsbylevel.com/companies/cloudera)
- AI level: AI Level 1 (score 23 out of 100)
- Location: Remote (USA > Texas > Austin)
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/a5cb61c4-43bf-49c5-a24b-20aec213a4a9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=engineering-manager-enterprise-ai-at-cloudera-0e4b97

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/engineering-manager-enterprise-ai-at-cloudera-0e4b97

## Description

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. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera is looking for an Engineering Manager to join our Enterprise AI team and help drive the development of Cloudera’s next-generation Machine Learning platform in a hybrid cloud environment. You will lead and support the development of platform capabilities that enable customers to build, deploy and scale AI and machine learning workloads, working closely with engineering colleagues, Product Management and partner teams to deliver high-quality, scalable solutions. As a Engineering Manager you will: Lead and support the development of microservices-based platform capabilities for Cloudera's Enterprise AI and Data Services offerings. Guide the design, development and implementation of scalable, reliable and enterprise-grade backend services. Provide technical guidance and support to engineers, encouraging good engineering practices, code quality and continuous improvement. Work closely with Product Management, Field Engineering and partner engineering teams to define requirements, coordinate delivery and resolve dependencies. Support effective planning, prioritization and execution of engineering initiatives. Foster collaboration, knowledge sharing and continuous learning within the team. Identify opportunities to improve developer productivity, team effectiveness and engineering processes. Contribute to technical discussions and architectural decisions, balancing short-term delivery needs with longer-term platform goals. We are excited if you have (Required Experience): Typically requires a Bachelors’ degree or equivalent with 2+ years of related management experience. 8+ years of backend software development experience in Go, Java or Scala. Experience with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP). Experience with microservices architecture and development, including technologies such as Go, gRPC and SQL. Experience with Kubernetes and containerized application development. Strong understanding of distributed systems and the ability to troubleshoot complex technical challenges. Experience building scalable, robust and secure enterprise applications. Experience providing technical guidance, mentoring and supporting the development of engineers. Demonstrated ability to collaborate effectively across teams and organizational boundaries. Strong sense of ownership, accountability and commitment to engineering quality. Excellent written and verbal communication skills. You may also have: Experience with AI and machine learning technologies and frameworks such as Python, PyTorch, TensorFlow, Spark and MLflow. Experience with Big Data technologies such as Spark, Hive and Impala. Experience working with open-source communities and projects. Experience with cloud-native technologies and hybrid cloud environments. Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value

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Source: https://jobsbylevel.com/jobs/engineering-manager-enterprise-ai-at-cloudera-0e4b97

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Level. https://jobsbylevel.com/jobs/engineering-manager-enterprise-ai-at-cloudera-0e4b97.

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