The Analytics Experience group focuses on providing integrated tools that leverage data, analytics, and AI services. This team is responsible for developing innovative services like Amazon SageMaker, which supports data ingestion, transformation, analysis, and governance. The role involves leading software engineering efforts to create reliable and scalable systems. Candidates will have the opportunity to mentor other engineers and influence the technical culture within the team.

• 10+ years of software engineering experience with a proven track record of leading large-scale projects.
• Experience in analytics, data engineering, or business intelligence at scale.

• Translate functional and technical requirements into detailed architecture, design, and extensible code.
• Advocate for industry best practices to produce reliable, fault-tolerant, and dependable code.
• Code and test complex system modules while developing and leveraging frameworks for efficiency.
• Participate in architecture, design, and code reviews to maintain high development standards.
• Own system architecture, scalability, reliability, and performance.
• Collaborate and influence other teams to deliver and operate large-scale, distributed services in the cloud.
• Mentor other engineers and help build a fast-growing team.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.