Engineering Manager - Enterprise AI

Posted Yesterday
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Hiring Remotely in Austin, TX, USA
In-Office or Remote
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
Lead an Enterprise AI engineering team developing scalable, microservices-based machine learning platform capabilities for hybrid cloud environments. Guide backend architecture, technical decisions, engineering quality, mentoring, planning, and delivery while collaborating with Product Management and partner teams. The role focuses on distributed systems, Kubernetes, cloud platforms, enterprise applications, and AI/ML technologies, with opportunities to contribute to open-source projects and technologies such as Spark, Hive, Impala, Trino, and Airflow.
Summary Generated by Built In

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

Skills Required

  • Bachelor’s degree or equivalent
  • 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: AWS, Microsoft Azure, or Google Cloud Platform
  • Experience with microservices architecture and development
  • Experience with Go, gRPC, and SQL
  • Experience with Kubernetes and containerized application development
  • Strong understanding of distributed systems and complex technical troubleshooting
  • Experience building scalable, robust, and secure enterprise applications
  • Experience providing technical guidance, mentoring, and engineer development support
  • Ability to collaborate across teams and organizational boundaries
  • Strong ownership, accountability, and commitment to engineering quality
  • Excellent written and verbal communication skills
  • Experience with AI and machine learning technologies such as Python, PyTorch, TensorFlow, Spark, or MLflow
  • Experience with Big Data technologies such as Spark, Hive, or Impala
  • Experience working with open-source communities and projects
  • Experience with cloud-native technologies and hybrid cloud environments

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.

  • Fair & Transparent Compensation — Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
  • Healthcare Strength — Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
  • Leave & Time Off Breadth — Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.

Cloudera Insights

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

What We Do

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.

Why Work With Us

Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including

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