Engineering Manager – Enterprise AI
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Job Description
Engineering Manager leading backend and microservices development for Cloudera’s Enterprise AI platform. Building scalable cloud-native machine learning solutions across public clouds and private data centers.
Responsibilities:
- Lead and support 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
- Build cloud-native solutions deployable across public cloud providers and private data centers
- Collaborate with open-source project committers and contribute upstream to Apache Hive and Impala
- Harden engines for security, optimize performance, and enable operation across environments
Requirements:
- 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 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
- This role is not eligible for immigration sponsorship
- 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
Benefits:
- Generous PTO Policy
- Unplugged Days supporting work-life balance
- 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
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