Posted:
9/30/2024, 7:32:50 PM
Location(s):
Pomeranian Voivodeship, Poland ⋅ Gdańsk, Pomeranian Voivodeship, Poland
Experience Level(s):
Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
We seek passionate Senior DevOps Engineer to build automation to enable machine learning engineers to continuously deliver predictive analytics for forecasting, personalization, and inventory optimization. As a Senior DevOps Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.
WHAT YOU BRING TO NIKE
3+ years of professional experience in DevOps
Experience with building CI/CD infrastructure (preferable Jenkins)
Experience with Docker, Kubernetes, and related tools and systems
Hands-on experience in operating multi-account AWS environment
Deep knowledge of core AWS components and services like VPC, API, IAM, ECS/EKS, EMR, S3, KMS, Lambda, Sagemaker
Experience with Infrastructure as a Code, especially Terraform
Good understanding of Python, shell scripting, and SQL
Experience in MLOps, software engineering or engineering would be an advantage
Familiar with principles of solution architecture and technical design
Effective communication skills (with team members, the business, and in code)
We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.
WHAT WILL YOU WORK ON
If this is you, you’ll be working with the Data and Artificial Intelligence team at Nike. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing automation for scalable applications that leverage prediction, image recognition and natural language processing models to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development.
WHO WILL YOU WORK WITH
AIML is one of the key groups within Data and Artificial Intelligence. We’re chartered to scale machine learning and AI at Nike. For areas of the business early in their analytics journey, we embed cross-disciplinary teams of data scientists and engineers to unlock new capabilities and answer unsolved (or unasked!) questions.
In mature areas with preexisting data science teams, we help scale machine learning by attaching engineering squads to grow their capacity to deliver for the business. In addition, we collaborate closely with platform and architecture partners to develop capabilities that simplify machine learning at scale within Nike (e.g. model deployment, A/B testing, model monitoring).
Website: https://www.nike.com/
Headquarter Location: Beaverton, Oregon, United States
Employee Count: 10001+
Year Founded: 1964
IPO Status: Public
Industries: Apparel ⋅ E-Commerce ⋅ Fashion ⋅ Product Design ⋅ Sporting Goods