Engineering Manager, AI/Data Platform (SageMaker Studio)

Socket.dev; New York (NY); On-site; USD 203,000 - 275,000; Full time

Job summary

Amazon Web Services (AWS) is the world’s leading cloud platform, trusted by startups to Global 500 companies. The SageMaker Unified Studio team focuses on data engineering and analytics experiences for customers using AWS Analytics and ML services.

The role leads a software development team responsible for data warehousing, analytics, and multi-tier web services, mentoring engineers, and shaping technical strategy with senior leadership.

Qualifications

• 3+ years of engineering team management experience.
• 7+ years of engineering experience.
• 8+ years of leading the definition and development of multi tier web services experience.
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
• Experience partnering with product or program management teams.

Responsibilities

• Lead and grow a software development team responsible for rethinking traditional data warehousing, analytics, and database architectures
• Manage the design, implementation, test, and deployment of software
• Conceive innovative new solutions for our customers, at the intersection of multiple fields: Big Data, analytics, warehousing, and machine learning.
• Mentor senior engineers and managers, provide leadership on complex technical issues, design tradeoffs, and feature and schedule prioritization
• Work with senior executives to develop business targets and resource requirements, and influence our technical and business strategy
• Help hire talented engineers and managers

Skills

Team management

Engineering experience

Leadership

Job description

Amazon Web Services (AWS) is the world’s leading cloud platform, trusted by startups to Global 500 companies. The SageMaker Unified Studio team focuses on data engineering and analytics experiences for customers using AWS Analytics and ML services.

The role leads a software development team responsible for data warehousing, analytics, and multi-tier web services, mentoring engineers, and shaping technical strategy with senior leadership.