Software Engineer
GEORGIA FIELD
Nike
Inspiration und Support für alle Athlet:innen mit innovativen Produkten, Experiences und Services.Develop, code/configure, test programs/systems and solutions problems independently and with minimal supervision in order to meet defined digital product specifications and direction. Develop robust advanced analytics and machine learning solutions that have a direct impact on the business. Advise product owners on discrete technology-related business problems; formulates options, including assessing their relative merits and risks; works with product owners to determine the best solution. Help design and build scalable software solutions, implement and integrate new technologies, manage and evolve existing platforms. Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. Assess a well-defined problem and lead the development of a technical solution that meets the needs of the business and aligns with architectural standards. Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. Solve machine learning problems at scale; and develop products focused primarily on consumer data. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have Master’s degree in Computer Engineering, Computer Science, or Computer Analytics and 2 years of experience in the job offered or in an engineer-related occupation. Experience must include.
1. Event Driven Architecture;
2. OAuth 2/ Open ID Authentication;
3. Containerization using Docker;
4. Postgres Database;
5. Stateless application development;
6. Google Cloud Platform;
7. Apigee API Management;
8. Terraform;
9. Kubernetes;
10. Python programming;
11. Open Policy Agent;
12. Java;
13. Harness for CI/CD; and
14. Behavior Driven Development.
Apply at www.jobs.nike.com (Job# R---)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture CI/CD Computer Science Docker Engineering GCP Google Cloud Java Kubernetes Machine Learning ML models PostgreSQL Python R Terraform
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