Senior Software Engineer

Nike Inc; Boston (MA); Remote; USD 90,000 - 150,000; Full time

Job summary

Join a dynamic and innovative team at a leading sportswear company as a Senior Software Engineer. In this role, you will build cloud infrastructure and automation for machine learning, enabling predictive analytics and optimizing athlete performance. Collaborate with a diverse team of experts to design APIs and data pipelines, ensuring quality and scalability. This is an exciting opportunity to push boundaries and contribute to a culture that values creativity and diversity. If you are passionate about technology and eager to make a significant impact, this role is perfect for you.

Qualifications

• 7+ years of experience in software engineering with a focus on MLOps.
• Strong knowledge of AWS services and CI/CD tools like Git and Jenkins.

Responsibilities

• Build cloud infrastructure for machine learning and automate deployment processes.
• Collaborate with cross-functional teams to develop new product features.

Skills

MLOps

Python

SQL

Shell Scripting

Agile Software Processes

Data-driven Development

Reliability

Responsible Experimentation

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Software Engineering

Tools

Git

Jenkins

Docker

Kubernetes

AWS

CloudFormation

Terraform

Spark

Databricks

Snowflake

Job description

Title: Senior Software Engineer

Location: Remote, US

Duration: 13 months contract

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.

WHAT YOU WILL WORK ON

Nike is looking for an exceptional Software Engineer to join our growing team. You will be building automation to enable machine learning engineers to continuously deliver predictive analytics for athlete performance, forecasting, personalization, and inventory optimization. You will work with a team of architects, platform engineers, and machine learning engineers to come up with new and interesting models, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing. We are looking for a high energy individual with experience developing cloud native applications, APIs, and data pipelines that values automation, testing, and security. You will orchestrate cloud, containers, big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products. Above all, your work will accelerate Nike's core mission of serving Athletes

WHAT YOU'LL DO

• Build cloud infrastructure for machine learning following the MLOps model
• Design and implement public and internal APIs
• Design event and streaming based services
• Build Tests and Build Pipeline for automated Deployment
• Establish Monitoring and Alerting for custom infrastructure batch data pipelines for machine learning for massive data sets
• Support investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scale.
• Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features
• Enable rapid iteration and product quality through continuous A/B testing
• Design, implement, and maintain solutions/platforms
• Collaborate with platform engineering and architects to utilize best practices and maintain compliance

WHO YOU ARE

• Rock solid software engineer with demonstrated experience in enabling MLOps.
• Bachelor’s Degree in computer science, software engineering, or related field preferred
• Experience with CI/CD infrastructure using Git, Jenkins, or similar tools
• Experience with Docker, Kubernetes, Mesos, containers, and related tools andsystems
• Experience with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
• Prefers infrastructure as code experience with CloudFormation or Terraform
• Strong Python, shell scripting, and SQL
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• Experience with Spark, Databricks, Snowflake.
• 7+ years of work experience
• Will be the tech lead & representing Engineering