**About Central Reliability and Response Engineering (CRRE)**
We help Amazon service teams around the globe improve their availability.
The data team at CRRE builds mechanisms for availability risk management, develops and operates bulk-access/API analytic interfaces, and offers expertise in analytics for decision making. We provide insights into Amazon's resilience posture, best-practices education to reduce risk exposure, and Incident Management support.
**Job Description:**
We are looking for a Senior Software Development Engineer to lead our data team. Your products will support the generation of Reliability Insights and be used as core inputs into our Incident Management and Resolution work.
**Key Responsibilities:**
As a Senior Software Development Engineer, you will work with our data analytics team to design, build, and deliver data products that have a direct impact on improving customer experiences across all of Amazon.com and beyond. You will show technical and product thought leadership and ownership.
**A Day in the Life:
You will ideate and deliver on initiatives that move the needle for our customers, delivering data products and driving product directions that benefit our broader organization. You will guide your team, ensuring they have room to grow while maintaining guardrails to support them. You will demonstrate thought leadership across the organization and influence our plans and product directions.
**About the Team:**
This team delivers mechanisms to provide resilience insights and surface data relationships. We empower Amazonians with correlated data to gain insights into their services and answer reliability questions. Our customers include internal service owners, Amazon Leadership, and Data Scientists.
**Requirements:**
We are looking for a candidate with experience as a mentor, tech lead, or leading an engineering team. The ideal candidate will have experience leading architecture and design, programming with modern languages like Java, C++, or C#, and development experience in the last three years. Knowledge of professional software engineering and best practices is also required.
**Preferred Qualifications:**
Ambitious engineers with experience in leading the definition and delivery of data products and services may find this role appealing.