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The Global Real Estate and Facilities (GREF) Tech team, part of Finance Automation, develops services, products, and tools to enable Amazon's corporate real estate team to build and operate the company's global facilities in more than 60 countries, which is the largest corporate real estate footprint in the world. We develop building systems that deliver a seamless, adaptive, and creative workspace experience to more than half a million employees. Our mission is to create technology that simplifies the processes Amazon employs to manage its corporate real estate. Our teams build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.
- Key job responsibilities
- Oversee the configuration and coding of new and existing Salesforce features, including user management, security, custom objects, page layouts, validations, workflows, flows, process builders, and third-party applications.
- Develop solutions in Salesforce.com utilizing Web Services and APIs.
- Support system integrations across the native Salesforce ecosystem, backend services, and AWS technologies.
- Collaborate with product managers and program teams to deliver customized solutions that meet business requirements, enhance user experience, and generate tangible business value.
- Engage in planning and analyzing requirements for system enhancements, translating them into well-architected solutions that leverage the Salesforce platform and products effectively.
- Proactively identify opportunities to leverage Salesforce innovatively to improve existing business processes, support rapid organizational scaling, and provide expertise on when to use configuration vs. code vs. out-of-the-box products.
- Handle Salesforce support requests and address escalated user needs by providing timely and comprehensive resolution to technical challenges and business support issues.
About the team
The Global Real Estate and Facilities (GREF) Tech team, part of Finance Automation, develops services, products, and tools to enable Amazon's corporate real estate team to build and operate the company's global facilities in more than 60 countries, which is the largest corporate real estate footprint in the world. We develop building systems that deliver a seamless, adaptive, and creative workspace experience to more than half a million employees. Our mission is to create technology that simplifies the processes Amazon employs to manage its corporate real estate. Our teams build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience with CI/CD pipelines build processes
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience with distributed systems at scale
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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