Senior Back End Python Developer

Work Location Type: Hybrid

About Grainger:

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit

Compensation:

The anticipated base pay compensation range for this position is $110,500.00 to $184,100.00.

Rewards and Benefits:

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger's benefits, please click on the link below:

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The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Position Details:

A new and rapidly growing team at Grainger is focusing on transforming a variety of transactional and operational data, to support the development of new tools and services aimed at enhancing our ability to respond to Customer inquiries. #StartWithTheCustomer

As a Senior Software Engineer at Grainger, you'll be responsible for building, enhancing, and maintaining full-stack applications, with an emphasis on backend development and integration of machine learning models into our systems. You will play a critical role in the development, and deployment of backend services and/or frontend applications, ensuring our applications are scalable, reliable, and capable of integrating with advanced ML models. You are a thoughtful observer who enjoys working with a team in investigating business problems and building full stack solutions that address them. You are an avid and patient communicator.

This role will report to the Engineering Manager

You Will:

• Develop, test, and deploy high-quality backend applications using Python (preferred) and/or JVM Language(s).

• Write clean, maintainable, and efficient code following best practices and coding standards.

• Troubleshoot, debug, and optimize existing systems to improve performance.

• Integrate with RESTful APIs and third-party services.

• Drive improvements to the CI/CD processes, testing frameworks, and deployment pipelines.

• Experience working with high-quality front end web applications using React, Next.js.

• Work closely with AI/ML engineers to integrate machine learning models and algorithms into production applications.

• Collaborate with stakeholders such as data and ML teams, design, product, and executive teams, helping on technical issues related to software and data.

• Build and maintain data management systems, including data warehouses, lakes, and other accessible structures.

• Carry out ETL (Extract, Transform, Load) operations to integrate data from various sources.

• Ensure data quality and integrity through rigorous testing and validation.

• Mentor interns, sharing your expertise in full-stack development, backend systems, and ML integration.

• Optimize applications for performance, reliability, scalability, and integration with machine learning applications seamlessly.

You Have:

• Bachelor's degree in Software Engineering, related degree, or relevant work experience.

• 7 years of experience with modern software engineering projects and practices, including designing, building, and deploying scalable software applications.

• 5+ years of experience in designing, building, and deploying cloud-native solutions.

• Proficiency in containerization platforms (Docker, Kubernetes, or OpenShift), build automation, continuous integration/deployment, and automated monitoring.

• Solid experience with Python (preferred), Java, Spring Boot, or similar frameworks for back-end development of APIs.

• Proficient in RESTful API-driven design and web frameworks.

• Familiarity with data engineering practices and event-driven architecture design principles.

• Experience with integrating machine learning models into production applications.

• Proficient in a cloud stack (AWS, Google Cloud Platform, Azure).

• Understanding of large-scale distributed systems and experience building high-performance production-grade distributed systems.

• Hands-on experience with front-end frameworks like React.js and/or Next.js.

• Experience with data technologies such as PostgreSQL, Snowflake, or Databricks, and exposure to real-time data streaming technologies like Kafka.

• Proficient in TDD practices, testing frameworks, version control systems (e.g., Git), and CI/CD pipelines.

• Familiarity with Agile/Scrum methodologies and DevOps practices.

• Ability to produce detailed, comprehensive software documentation, including testing plans, requirement specs, design docs, and technical requirements for user stories.

• Excellent communication skills and ability to collaborate effectively with team members.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.