ClouderaEngineering Manager - Enterprise AI
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 with a strong technical background to help manage the teams located in Bangalore working on Cloudera AI Platform. You'll help manage our next-gen AI & Machine Learning platform. You'll help design, build, and deliver a platform that accelerates Machine Learning from exploration to production and supports the creation and deployment of Generative AI apps in a hybrid cloud environment.
Our team is well-versed in Kubernetes, and major cloud platforms (AWS, Azure, Openshift). We integrate with various data sources, including Apache Hive, S3, HBase, and more, using Python, Spark, or R.
We're looking for an experienced Manager with hands-on experience in generative AI and good understanding of container orchestration technologies like Kubernetes and cloud platforms like AWS, Azure, Openshift, GCP. Attention to detail and a strong drive are key qualities we value. As a Manager, you'll help shape our team's direction and enjoy significant growth opportunities.
As an Engineering Manager you will:
Take charge of a team of Engineers and be the technical advocate for the team. Strive for the implementation of Engineering best practices and coding standards
Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, as well as, Product Management, Field Engineering, and other external partners
Work to enhance developer velocity and team agility
Help build the leading platform for AI/machine learning in the enterprise
Provide mentoring, coaching, career development and technical guidance to the Engineers to ensure they are suitably trained to perform all job functions and use project/software-related tools
Review design, code ensuring elegant, scalable, enterprise grade solutions
Perform staffing responsibilities for the team – hiring to fill open positions and working with recruitment team to conduct interviews
Conduct talent reviews of team members/reportees to recommend job promotions/salary reviews based on job performance and take decisions on employee performance improvement plan/termination if needed
Run the day-to-day activities of the engineering team in an Agile/Scrum environment
Lead the team in working together with the dedicated customer support organization in resolving onboarding/ongoing issues for Cloudera Customers
We’re excited about you if you have:
BE, MS or Ph.D. in Computer Science
12+ years of experience with > 2+ years of management experience in product based organization
7+ years of experience as a backend developer/ technical lead in product development using high level programming languages
Experience building platform for generative AI applications leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)
Strong oral and written communication skills
Strong understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Experience with Public cloud (AWS/ Azure/ GCP) and/ or Private cloud (Openshift/ Rancher)
Strong Understanding of Distributed Systems and building systems at scale
Ability to drive the architecture/design and provide technical directions to the team
It’s a plus if you have:
Experience in architecting large scale distributed systems
Programming experience with Golang, Python
Worked with Big data technologies like Spark, Hive etc.
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.
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
Employee Resource Groups
EEO/VEVRAA
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