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Senior Software Engineer - Job Opportunity at NIKE, Inc.

Beaverton, United States
Full-time
Senior
Posted: May 2, 2025
Remote
USD 140,000 - 180,000 annually based on location, seniority, and market conditions for ML-focused senior engineers at Fortune 500 companies

Benefits

Remote work flexibility with broad US coverage
Adaptive technology accommodations
Interview process accommodations
Standard Fortune 500 benefits package implied

Key Responsibilities

Lead development of technical solutions aligned with architectural standards
Create and implement scalable advanced analytics and ML solutions
Build prediction models and optimization programs for data-driven decisions
Advise product owners on technology solutions
Contribute to core analytics and ML platforms
Develop consumer data-focused products

Requirements

Education

Master's degree in Computer Science, Applied Computer Science, or Computer Applications

Experience

2 years in job offered or computer-related occupation

Required Skills

System design using Lucid Chart or Visual Studio Analysis using Atlassian Confluence IntelliJ IDEA/Eclipse (IDE) Java Springboot Jenkins CI/CD Atlassian Jira GitHub AWS Cloud Services (EC2, ECS, S3, RDS, Lambda, SQS, Cloudwatch) Junit Postman Splunk ServiceNow
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Sauge AI Market Intelligence

Industry Trends

The role's focus on advanced analytics and ML solutions reflects Nike's strategic push toward data-driven decision making in retail and consumer behavior analysis. Nike's investment in cloud-native architecture and AWS services indicates a commitment to scalable, modern infrastructure. The emphasis on consumer data analytics aligns with the retail industry's broader shift toward personalized customer experiences and predictive marketing.

Role Significance

Likely part of a 6-8 person advanced analytics team within a larger engineering organization, with dotted-line relationships to product and business teams.
This is a high-impact senior position with significant technical decision-making authority and direct influence on business outcomes through ML/analytics solutions.

Key Projects

Consumer behavior prediction models Supply chain optimization systems Real-time analytics platforms Cloud-native application architecture Machine learning pipeline development

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex ML concepts into business value Experience with large-scale data processing and cloud architecture Excellent stakeholder management skills Track record of delivering production ML systems

Market Demand

Very high demand position combining both traditional senior engineering skills with machine learning expertise. This hybrid skill set is particularly sought after in the retail/consumer goods sector as companies accelerate their digital transformation initiatives.

Important Skills

Critical Skills

Machine Learning Implementation: Essential for core role responsibilities and business impact AWS Cloud Services: Fundamental to solution architecture and scalability Java/Spring Ecosystem: Primary development stack for enterprise systems DevOps & CI/CD: Critical for production ML system maintenance

Beneficial Skills

Python for ML modeling Kubernetes for container orchestration Real-time streaming technologies Business intelligence tools

Unique Aspects

Rare combination of enterprise-scale ML implementation with consumer-facing impact
Opportunity to influence global retail technology strategies
Balance of technical depth with business impact

Career Growth

2-3 years in role before advancement opportunity, with potential fast-track based on business impact

Potential Next Roles

Lead Machine Learning Engineer Engineering Manager - Analytics Technical Architecture Leader Director of Data Science

Company Overview

NIKE, Inc.

Nike is a global leader in athletic footwear, apparel, and digital consumer experiences, with a strong focus on technology innovation.

Fortune 100 company with significant resources for technical innovation and competitive compensation packages.
The Beaverton location represents Nike's global headquarters, though the remote nature of this role indicates a distributed team structure.
Fast-paced, innovation-focused environment with strong emphasis on consumer-centric technology solutions and data-driven decision making.
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