Job Description

DESCRIPTION

What is the team?
The vision of Workforce Intelligence (WFI) is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, KPI analysis and reporting, and predictive modeling. Amazons mission is to be the most customer centric company in the world and Workforce Staffing (WFS), the organization responsible for hourly associate hiring globally, is on the front lines of that mission and will be your core customer in this role.

What is the role?
As an SDE II in WFI team, you will be responsible for contributing towards the teams product roadmap, and the vision for landing WFS data into the hands of our customers. You will get to work on some of the key initiatives planned to support our rapid evolution and growth of the org and in the process solve some of the most challenging problems. You will collaborate closely with other software developers, DE/BIEs and scientists, as well as partnering with numerous internal and external partners and stakeholders. You will frequently be working backwards from the customer to help the team build services and products that allows our internal customers to make informed decisions. This is an opportunity to Think Big and create an engaging experience on a new platform that our customers will love. You should excel in the design, creation, management, and business use of large and complex datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the solutions for our customers. Were looking for full-stack engineers you will be working with Linux, AWS services, REST services, Java, Javascript, SQL and NoSQL databases.

BASIC QUALIFICATIONS

Degree in Computer Science, Engineering, Mathematics, or a related field and 1+ years of industry experience
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Proficiency with at least one Object Oriented language (e.g. Java, Python)
Working knowledge of software development methodologies like Agile/TDD/BDD

PREFERRED QUALIFICATIONS

Masters degree in Computer Science, Engineering or related technical field and 1+ years of industry experience
Strong, object-oriented design and coding skills. Experience in working with tech stack comprising of .js platforms (Node.js, Angular.js, React.js).
Experience influencing software engineering best practices within your team
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience building data products incrementally and integrating and managing datasets from multiple sources
Experience with AWS Tools and Technologies (CFT, Lambda, S3, EC2, Dynamo, Aurora etc.)
Strong customer focus, ownership, urgency and drive.
Excellent communication skills and the ability to work well in a team.
Effective analytical, troubleshooting and problem-solving skills.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.