SDE: AI-First Infra for Ads Data Lake at Scale

Amazon; Sunnyvale (CA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is building Spektr, the exabyte-scale central data lake for Ads, delivering petabytes of data daily. As an SDE on this team, you will own core platform services, design and operate high‑scale Java services on AWS, and enable AI agents to run data pipelines with high reliability.

You will implement CI/CD pipelines, reduce latency, and collaborate with product managers to meet demanding SLAs, while contributing to a scalable data infrastructure used by hundreds of teams.

Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience programming with at least one software programming language.

Responsibilities

• Engage with key decision makers such as Product & Program Managers to understand customer requirements and brainstorm on solutions.
• Design, code and deploy components and micro‑services for the core job management pipeline.
• Ensure testability, maintainability and low operational footprint for your code.
• Participate in operational responsibilities with your team.
• Innovate on AWS technology to improve latency, reduce cost and operations.

Skills

Software development

Design patterns

Architecture

Java

AWS

Education

Bachelor's degree in computer science or equivalent

Tools

Spark

EMR Serverless

Kinesis

Step Functions

CI/CD

Job description

Amazon is building Spektr, the exabyte-scale central data lake for Ads, delivering petabytes of data daily. As an SDE on this team, you will own core platform services, design and operate high‑scale Java services on AWS, and enable AI agents to run data pipelines with high reliability.

You will implement CI/CD pipelines, reduce latency, and collaborate with product managers to meet demanding SLAs, while contributing to a scalable data infrastructure used by hundreds of teams.