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Engineering Manager - Enterprise AI

Cloudera

Remote · USFull-timePosted todayStill listed today

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At a glance

Compensation
No compensation found
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Cloudera is seeking an Engineering Manager for its Enterprise AI team to help develop its next-generation machine learning platform in a hybrid cloud environment. The manager will lead platform development and backend engineering, guide engineers, and coordinate with Product Management and partner teams. The role focuses on scalable, reliable enterprise services and supports planning, collaboration, and technical decision-making.

Skills & qualifications

RequiredNice to have

Skills

Engineering Management, nice to haveMachine Learning, nice to haveMicroservices, nice to haveBackend Software Development, nice to haveGo (Programming Language), nice to haveJava (Programming Language), nice to haveScala (Programming Language), nice to haveAmazon Web Services, nice to haveMicrosoft Azure, nice to haveGoogle Cloud Platform (GCP), nice to haveKubernetes, nice to haveSQL (Programming Language), nice to haveDistributed Computing, nice to haveArtificial Intelligence, nice to havePython (Programming Language), nice to havePyTorch (Machine Learning Library), nice to haveTensorflow, nice to haveApache Spark, nice to haveSkflow, nice to haveBig Data, nice to haveApache Hive, nice to haveCloud Platforms, requiredMicroservices Architecture, requiredgRPC, requiredContainerized Application Development, requiredDistributed Systems, requiredTroubleshooting, requiredEnterprise Application Development, requiredTechnical Guidance, requiredMentoring, requiredCross-Functional Collaboration, requiredOwnership, requiredAccountability, requiredWritten Communication, requiredVerbal Communication, requiredSpark, nice to haveMLflow, nice to haveHive, nice to haveImpala, nice to haveOpen-Source Development, nice to haveCloud-Native Technologies, nice to haveHybrid Cloud Environments, nice to have

Qualifications

Bachelor's or Equivalent, nice to have2+ Years Management Experience, required8+ Years Backend Development, required

Benefits

Paid Time Off
Tuition Assistance

Full job 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 in their data.

We believe in the power of open source. You’ll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You’ll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

​This role is not eligible for immigration sponsorship.

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-SZ1 #LI-Remote

How this job compares

Set against the 5,419 open Engineering Manager jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This postingNot listed
  • Virginia median$144–250K/yr157 salary ranges
  • US median$50–75/hr23 hourly ranges
Openings
Olive Jobs lists 170 open Engineering Manager jobs in Virginia and 5,419 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 8 years of experience; Engineering Manager postings that state a minimum ask for 8 years at the median (4,724 postings).
Education
2,326 of the 5,419 open Engineering Manager jobs (43%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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