Software Engineer

Nike Inc; Oregon; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Nike, Inc. in Beaverton, OR seeks a Software Engineer to develop, test, and deliver scalable software and analytics solutions that impact business decisions. The role emphasizes modern data platforms, API-driven integrations, and cross-functional collaboration across teams.

Responsibilities include designing scalable applications, implementing ML/analytics pipelines, and ensuring security, reliability, and performance across global systems. Remote work options from anywhere in the U.S.

Qualifications

• Bachelor’s degree in IT or CS with 5+ years of post-baccalaureate experience.
• Experience with data platforms and analytics
• Knowledge of procurement platforms and integration
• Strong API and middleware experience
• Experience with cloud-native microservices and AWS

Responsibilities

• Develop, code, test programs and systems per specs.
• Build scalable software to support data-driven decisions.
• Lead design choices and implement new technologies.
• Collaborate with cross-functional teams to deliver impact.
• Participate in code reviews and maintain security/reliability

Skills

Data engineering

Analytics

Problem solving

Cross-functional collaboration

Education

Bachelor’s degree in Information Technology/Computer Science

Tools

Databricks

Snowflake

Coupa

Pega

SAP ERP

Oracle SOA Suite

Oracle Service Bus

Apache Kafka

Apache NiFi

Java

Spring Boot

Python

Node.js

AWS

Kubernetes

Git

Jenkins

Terraform

CloudFormation

Splunk

SignalFx

Amazon CloudWatch

Axway

Job description

Software Engineer - NIKE, Inc. - Beaverton, OR.

Develop, code/configure, test programs/systems and solutions problems 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; help design and build scalable software solutions, make critical technical design choices, 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; participate in peer code reviews; 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 that meets global expectations of security, reliability, and performance; collaborate with cross-functional teams to deliver impactful outcomes.

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.

Education and Experience

• Bachelor’s degree in Information Technology, Computer Science and 5 years of progressive post-baccalaureate experience in the job offered or an engineer-related occupation.

Experience must include:

• Data Engineering, Data Platform, and Analytics solutions using Databricks or Snowflake.
• Source-to-Pay and Procurement platforms such as Coupa.
• Business rules management, workflow automation, and business process orchestration using enterprise BPM platforms such as Pega.
• Finance procure-to-pay (P2P) business processes, including sourcing, purchasing, invoicing, and vendor management.
• Design and implementation of integrations between SAP ERP and finance-related SaaS solutions using APIs and middleware technologies.
• Application integration and middleware technologies such as Oracle SOA Suite and Oracle Service Bus (OSB).
• Event streaming and messaging using Apache Kafka.
• Data orchestration and flow management using Apache NiFi.
• Enterprise application development using Java, Spring Boot, Python, and Node.js, including Domain-Driven Design (DDD) and RESTful service architecture.
• Cloud-native, microservice-based application development and deployment on Amazon Web Services (AWS), including API-first architecture.
• Containerized application design and development using Kubernetes.
• DevOps, CI/CD, Infrastructure as Code (IaC) using Git, Jenkins, Terraform, and AWS CloudFormation.
• Application observability, monitoring, and alerting using Splunk, SignalFx, and Amazon CloudWatch.
• Managed File Transfer (MFT) using Axway.

(Job R-96465)

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.