Rejoignez l'équipe NIKE, Inc.
Loin de se contenter d'équiper les plus grands athlètes mondiaux, NIKE, Inc. explore les potentiels, abolit les frontières et repousse les limites du possible. L'entreprise recherche des personnes capables d'évoluer, de réfléchir, de rêver et de créer. L'épanouissement de sa culture repose sur son ouverture à la diversité et sur sa façon d'encourager l'imagination. La marque a besoin de personnes talentueuses, de leaders et de visionnaires. Chez NIKE, Inc., chacun contribue, par ses compétences et sa passion, à jouer un match difficile en constante évolution.
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $119,400.00 in our lowest geographic market to $267,500.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.Information about benefits can be found here.
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
We seek passionate engineers to join our team. As a Lead Systems Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You should have achieved proficiency in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Lead Systems 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 WILL YOU WORK ON
If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike. With teammates in Portland, Boston, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs 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. You thrive when surrounded by talented colleagues and aim to never stop learning. 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.
We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.
WHO WILL YOU WORK WITH
In this role, you’ll be working closely with the rest of our global team, along with commercial and consumer analytics, and enterprise architecture teams.
WHAT YOU BRING
Undergraduate degree in Computer Science, or equivalent experience
5+ years of professional experience in software engineering
Strong analytical mindset and experience leading others in problem solving
Experience working in a team to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD
Expertise with agile development and test driven development
Expertise with data structures and software architecture
Expertise with cloud architecture and technologies, in particular Amazon Web Services
Expertise with technologies like Docker, Kubernetes, Jenkins, Databricks, or Terraform
Experience with complex data sets, ETL pipelines, SQL, and general data engineering
Expertise in MLOps, API development, high performance computing, or DevOps are highly desirable
Effective communication skills (with team members, the business, and in code)
Experience providing technical leadership within a team and mentorship to others
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
NOTRE PLAN DE RECRUTEMENT
01 Posez votre candidature
Nos équipes se composent de personnes apportant des compétences, des connaissances, des contributions, des idées et des expériences variées. Nous souhaitons vous aider à trouver le poste qui vous correspond. Consultez les descriptions de poste, les services et les équipes pour trouver le poste parfait pour vous.
02 Rencontrez des responsables du recrutement ou passez une évaluation
En cas de sélection pour un poste au sein de l'entreprise (poste Corporate), une personne du service de recrutement vous contactera pour entamer le processus d'entretien. Cette personne sera votre contact principal tout au long du processus. Pour les postes dans la vente au détail (postes Retail), l'évaluation interactive comprend une discussion et des quiz. Elle dure environ 10 à 20 minutes. Quel que soit le poste que vous visez, nous souhaitons en savoir plus sur vous, alors n'hésitez pas à nous dire quelle est votre vision d'un service de haute qualité et ce qui vous rend unique.
03 Entretien
Abordez cette étape avec confiance, en faisant vos recherches, en comprenant ce que nous attendons et en vous préparant à répondre aux questions qui vous seront posées pour mieux connaître votre personnalité et votre parcours.
