Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob 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.
Cloudera is looking for an Engineering Manager with a strong technical background to help manage the team(s) located in Bangalore, India to help drive the development of Cloudera’s next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale.
We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.
Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.
As an Engineering Manager you will….
As an Engineering Manager you would be responsible for working with Product Managers to define what capabilities should be built in the product.
You will have to work with Product Managers to understand customer use cases and help them use our products effectively.
You will be responsible for the growth of your reports.
You should be able to fill in, to address gaps in process / practices followed by the team / organization.
As a leader you should be able to lead by example.
We’re excited about you if you have:
8+ years of experience in building enterprise software and 2+ years of management experience.
Strong written and oral communication skills.
Good understanding of Engineering best practices.
Experience with containerization frameworks like Kubernetes, Docker.
Strong Understanding of Distributed Systems and building systems at scale.
Should be able to drive the architecture/design and provide technical direction & guidance to the team.
Self-driven and motivated, with a strong sense of ownership and craftsmanship.
Experience with open source foundation models, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).
Experience with Generative AI frameworks (LangChain, Guidance, etc.)
You may also have:
Experience in Golang, node.js React, or Angular
Experience using AI Code Editors, understanding of Gen-AI concepts and Agentic frameworks
Experience in architecting large scale distributed systems
Programming experience with Golang, Python
Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.).
Experience with AI/ML orchestration software (Kubeflow, KServe, Knative).
Experience with cloud technologies (AWS, GCE, Azure)
Experience using Big Data technologies like Spark, Hive etc.
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
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