Engineering Manager – Enterprise AI

This is a fully remote position, open to applicants in Florida, +4 more states.

📋 Description

• Lead and assist in the development of microservices-based platform capabilities for Cloudera's Enterprise AI and Data Services offerings.

• Direct the design, development, and implementation of scalable, reliable, and enterprise-grade backend services.

• Offer technical guidance and support to engineers, promoting sound engineering practices, code quality, and ongoing improvement.

• Collaborate closely with Product Management, Field Engineering, and partner engineering teams to define requirements, coordinate delivery, and resolve dependencies.

• Aid in effective planning, prioritization, and execution of engineering initiatives.

• Encourage collaboration, knowledge sharing, and continuous learning within the team.

• Identify chances to enhance developer productivity, team effectiveness, and engineering processes.

• Engage in technical discussions and architectural decisions, balancing immediate delivery needs with long-term platform objectives.

• Develop cloud-native solutions that can be deployed across public cloud providers and private data centers.

• Work with open-source project committers and contribute upstream to Apache Hive and Impala.

• Strengthen engines for security, optimize performance, and enable operation across various environments.

⛳️ Requirements

• Typically requires a Bachelor's degree or equivalent, along with 2+ years of relevant management experience.

• 8+ years of backend software development experience in Go, Java, or Scala.

• Familiarity with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

• Proficient in microservices architecture and development, including technologies such as Go, gRPC, and SQL.

• Experience with Kubernetes and containerized application development.

• Strong knowledge of distributed systems and the ability to troubleshoot complex technical issues.

• Proven experience in building scalable, robust, and secure enterprise applications.

• Background in 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.

• Familiarity with Big Data technologies such as Spark, Hive, and Impala.

• Experience working with open-source communities and projects.

• Knowledge of 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.