Engineering Manager - Machine Learning

Summary

Join Caylent, a fully remote global cloud native services company, as an Engineering Manager for our Cloud Data Engineering Practice. You will lead a team of up to six Architects and Engineers, overseeing data delivery engagements. This role requires strong AWS data landscape experience and expertise in at least two major areas of Cloud Data Engineering. You will act as a data engineering SME, participate in management meetings, conduct technical interviews, and provide technical guidance. Caylent offers a competitive compensation package including medical, dental, and vision insurance, 401k, phantom equity, and unlimited paid time off.

Requirements

• Strong experience in AWS data landscape
• Expertise in at least two major areas of Cloud Data Engineering: Relational database design, optimization and migration
• Big data processing using Spark, Hadoop, EMR etc
• Machine Learning and MLOps
• Advanced analytics using time series forecasting, descriptive and inferential statistics
• BI dashboards and visualizations
• Data Governance and MDM
• Experience with most of these: Infrastructure as Code tools
• CI/CD pipelines
• Application modernization and migration with a strong focus on databases
• Excellent written and verbal communication skills

Responsibilities

• Act as a data engineering SME with our pre-sales team to define upcoming engagements
• Participate in weekly management and staffing meetings
• Manage a team of up to six (6) Architects and Engineers
• Perform technical interviews for Architect and Engineer candidates
• Provide technical guidance to Architects and Engineers on engagements
• Represent your direct reports during annual calibration sessions
• Perform weekly 1:1s with your direct reports and guide their career development

Benefits

• Medical Insurance for you and eligible dependents
• 401k plan with company match up to 4% and immediate vesting
• Competitive phantom equity
• Company issued laptop
• Dental and Vision insurance
• Term Disability Insurance
• Term Life Insurance
• Flexible Spending Account
• Equipment & Office Stipend
• Annual stipend for Learning and Development
• Unlimited Paid Time Off, following a 90-day probationary period
• 10 Paid Holidays