Engineering 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, were 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 working on Cloudera AI Platform. Youll help manage our next-gen AI & Machine Learning platform. Youll 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.

Were looking for an experienced Manager with deep 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, youll help shape our teams 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
  
  
  

• 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
• 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
  
  
  

• 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, JupyterLab, PyCharm etc.)
• Worked with Big data technologies
  
  
  

• 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