Engineering Manager at PwC leading software and product innovation initiatives. Driving technology solutions, mentoring teams, and managing engagement relationships for client success.
About the role
- Engineering Manager at Cloudera leading the development of enterprise AI and machine learning platforms. Focused on delivering Generative AI applications using foundation models at scale.
Responsibilities
- 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
- Working with Product Managers to define what capabilities should be built in the product
- Understand customer use cases and help them use our products effectively
- Responsible for the growth of your reports
- Fill in, to address gaps in process / practices followed by the team / organization
- Lead by example
Requirements
- 8+ years of experience in building enterprise software
- 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.)
- 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.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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