Lead AWS Glue SDE: Data Quality & AI/ML at Scale

Amazon Web Services (AWS); New York (NY); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Medical

Dental

Vision

Prescription

Life & AD&D insurance

Supplemental life plans

EAP

Mental health support

Medical advice line

Flexible spending accounts

Adoption and surrogacy reimbursement

401(k) matching

Paid time off

Parental leave

Restricted stock units

Sign-on payments

Job summary

Amazon Web Services (AWS) in New York seeks a senior engineer to lead the technical design and operations for AWS Glue data management features, focusing on data quality and sensitive data detection. You will mentor engineers and collaborate with cross-functional teams to drive AI/ML initiatives at scale.

The role involves guiding architecture, delivering reliable systems, and influencing product direction while maintaining best practices across the data platform.

Qualifications

• 5+ years professional software development experience, with system architecture and leading engineering teams.
• Proficiency in programming and a strong understanding of the full software development life cycle.

Responsibilities

• Lead the technical design and operations for AWS Glue data management features, focusing on data quality and sensitive data detection.
• Mentor engineers and collaborate with cross-functional teams to drive AI/ML initiatives at scale.

Skills

Software development

System architecture

Scalability

Reliability

Data quality

Anomaly detection

Sensitive data detection

AI/ML

LLM interaction

Distributed systems

Cloud computing

Mentoring

Technical design

Code reviews

Project estimation

Job description

Amazon Web Services (AWS) in New York seeks a senior engineer to lead the technical design and operations for AWS Glue data management features, focusing on data quality and sensitive data detection. You will mentor engineers and collaborate with cross-functional teams to drive AI/ML initiatives at scale.

The role involves guiding architecture, delivering reliable systems, and influencing product direction while maintaining best practices across the data platform.