Apply on Employer Site

Grainger · 2 weeks ago

Senior Python Engineer

Lake Forest, IL

Full-time

Hybrid

Senior Level

$110K/yr - $184K/yr

5+ years exp

Grainger is a leading broad line distributor serving more than 4.5 million customers worldwide. As a Senior Software Engineer, you will be responsible for building and maintaining full-stack applications with a focus on backend development and integrating machine learning models into systems, ensuring scalability and reliability of applications.

HospitalityIndustrialManufacturingOffice SuppliesSupply Chain Management

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

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

Build high-quality front end web applications using React, or 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 databases, data warehouses, lakes, and other accessible structures

Design and implement caching strategies using tools such as Amazon ElastiCache, Redis, or Memcached to improve application performance and scalability

Build and maintain low-latency applications that deliver fast response times and high throughput

Develop real-time integrations using technologies like Apache Kafka and Apache Flink to process and stream data efficiently

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

Qualification

PythonCloud-native solutionsMachine learning integrationData engineeringRESTful APIsContainerization DockerContainerization KubernetesCI/CD processesAgile/Scrum methodologiesCommunicationCollaboration skills

Required

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

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

3+ 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, Java, Spring Boot, or similar frameworks for back-end development of APIs

Proficient in RESTful API-driven design and web frameworks

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

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

Proven ability to build and maintain low-latency applications that deliver fast response times and high throughput

Preferred

Proficiency in Python

Solid experience with Python

Experience with integrating machine learning models into production applications

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

Exposure to designing and implementing caching strategies using tools such as Amazon ElastiCache, Redis, or Memcached to improve application performance and scalability

Hands-on experience developing real-time integrations using technologies like Apache Kafka and Apache Flink for efficient data processing and streaming

Benefits

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.

Company

Grainger

Glassdoor4.1

As a leading business-to-business organization, more than 4.5 million customers worldwide rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.

Founded in 1927

Savannah, Georgia, USA

10001+ employees